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Marmo, Rossella, Maurizio Nicolella, Francesco Polverino, and Andrej Tibaut. "A Methodology for a Performance Information Model to Support Facility Management." Sustainability 11, no. 24 (December 8, 2019): 7007. http://dx.doi.org/10.3390/su11247007.
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Current facility management practice relies on different systems which require new technologies to integrate and manage information more easily. Building information modeling offers a good opportunity to improve facility information management by providing a unified platform for various data sources rather than an intuitive information interface. Although current research trends reveal that there is a continuously growing interest in facility management aided by building information modeling, an integrated model is still hard to obtain. This paper aims at developing a novel methodology based on building information modeling and facility management systems integration, underpinned by a performance information model. The implementation process of a performance information model is described, including information technologies involved, the data and process requirements, and the building performance assessment methods used. A first pilot case-study has been conducted with regards to surgery rooms in healthcare buildings. The proposal can support condition-based maintenance work schedule, as well as the achievement of organizational, environmental, and technical requirements. Among the practical implications found: Improved technological and environmental performances assessment; better visualization of building condition; improved decision-making process; facilitated maintenance tasks planning and maintenance records management.
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Liu, Xuan, and Hai Xie. "Research on the Anticipation and Development of Building Information Modeling." Applied Mechanics and Materials 584-586 (July 2014): 1881–84. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.1881.
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Building Information Modeling (BIM) is a digital representation of physical and functional characteristics of a facility. A BIM is a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle; defined as existing from earliest conception to demolition. Building Information Modeling (BIM) is a process involving the generation and management of digital representations of physical and functional characteristics of places. BIM are files (often but not always in proprietary formats and containing proprietary data) which can be exchanged or networked to support decision-making about a place. Current BIM software is used by individuals, businesses and government authorities who plan, design, construct, operate and maintain diverse physical infrastructures, from water, wastewater, electricity, gas, refuse and communication utilities to roads, bridges and ports, from houses, apartments, schools and shops to offices, factories, warehouses and etc.
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Golabchi, Alireza, Manu Akula, and Vineet Kamat. "Automated building information modeling for fault detection and diagnostics in commercial HVAC systems." Facilities 34, no. 3/4 (March 7, 2016): 233–46. http://dx.doi.org/10.1108/f-06-2014-0050.
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Purpose Organizations involved in facility management (FM) can use building information modeling (BIM) as a knowledge repository to document evolving facility information and to support decisions made by the facility managers during the operational life of a facility. Despite ongoing advances in FM technologies, FM practices in most facilities are still labor intensive, time consuming and often rely on unreliable and outdated information. To address these shortcomings, the purpose of this study is to propose an automated approach that demonstrates the potential of using BIM to develop algorithms that automate decision-making for FM applications. Design/methodology/approach A BIM plug-in tool is developed that uses a fault detection and diagnostics (FDD) algorithm to automate the process of detecting malfunctioning heating, ventilation, and air conditioning (HVAC) equipment. The algorithm connects to a complaint ticket database and automates BIM to determine potentially damaged HVAC system components and develops a plan of action for the facility inspectors accordingly. The approach has been implemented as a case study in an operating facility to improve the process of HVAC system diagnosis and repair. Findings By implementing the proposed application in a case study, the authors found that automated BIM approaches such as the one developed in this study, can be highly beneficial in FM practices by increasing productivity and lowering costs associated with decision-making. Originality/value This study introduces an innovative approach that leverages BIM for automated fault detection in operational buildings. FM personnel in charge of HVAC inspection and repair can highly benefit from the proposed approach, as it eliminates the time required to locate HVAC equipment at fault manually.
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Alhassan, Bassel, Jamal Younes Omran, and Fayez Ali Jrad. "Enhancing Public Buildings Maintenance Using Integration Between Knowledge Management and BIM." International Journal of Information Systems and Social Change 10, no. 3 (July 2019): 1–13. http://dx.doi.org/10.4018/ijissc.2019070101.
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Building maintenance is gaining increased attention in the various fields of scientific research, Building information modelling (BIM) is used in the maintenance management and has helped facility management to handle a large volume of maintenance information, including drawings, specifications, lists and reports. BIM proved its effectiveness as a repository for various types of data in buildings maintenance and a tool to support decision making in maintenance. stepping the best decision at the facility is not only based on quantitative data but also on the knowledge and experience acquired by the company and the employees. this experience may be lost forever due to resignation and retirement if they are not documented. In this research work the authors provide a methodology for obtaining knowledge while performing maintenance of public buildings using BIM and DYNAMO applications, where parametric models provide us with a high-central frame for storing information and by adopting of visual programming, which provides great capabilities for processing, extraction, classification and the export of data from the BIM model to organize the knowledge management process extensively. This serves to facilitate decision-making through the BIM dependent knowledge base which helps to obtain and re-use of generated knowledge.
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Jung, Cha, and Jiang. "Developing a Building Fire Information Management System Based on 3D Object Visualization." Applied Sciences 10, no. 3 (January 22, 2020): 772. http://dx.doi.org/10.3390/app10030772.
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In a building fire disaster, a variety of information on hazardous factors is crucial for emergency responders, facility managers, and rescue teams. Inadequate information management limits the accuracy and speed of fire rescue activities. Furthermore, a poor decision-making process, which is solely dependent on the experiences of emergency responders, negatively affects the fire response activities. Building information modeling (BIM) enables the sharing of locations of critical elements and key information necessary for effective decision-making on disaster prevention. However, it is non-trivial to integrate and link the relevant information generated during the life cycle of the building. In particular, the information requirements for building fires should be retrieved in the BIM software because most of them have spatial characteristics. This paper proposes a prototype system for a building’s fire information management using three-dimensional (3D) visualization by deriving the relevant information required for mitigating building fire disasters. The proposed system (i.e., Building Fire Information Management System (BFIMS)) automatically provides reliable fire-related information through a computerized and systematic approach in conjunction with a BIM tool. It enables emergency responders to intuitively identify the location data of indoor facilities with its pertinent information based on 3D objects. Through scenario-based applications, the system has effectively demonstrated that it has contributed to an improvement of rapid access to relevant information.
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Xie, Xiang, Qiuchen Lu, David Rodenas-Herraiz, Ajith Kumar Parlikad, and Jennifer Mary Schooling. "Visualised inspection system for monitoring environmental anomalies during daily operation and maintenance." Engineering, Construction and Architectural Management 27, no. 8 (July 8, 2020): 1835–52. http://dx.doi.org/10.1108/ecam-11-2019-0640.
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PurposeVisual inspection and human judgement form the cornerstone of daily operations and maintenance (O&M) services activities carried out by facility managers nowadays. Recent advances in technologies such as building information modelling (BIM), distributed sensor networks, augmented reality (AR) technologies and digital twins present an immense opportunity to radically improve the way daily O&M is conducted. This paper aims to describe the development of an AR-supported automated environmental anomaly detection and fault isolation method to assist facility managers in addressing problems that affect building occupants’ thermal comfort.Design/methodology/approachThe developed system focusses on the detection of environmental anomalies related to the thermal comfort of occupants within a building. The performance of three anomaly detection algorithms in terms of their ability to detect indoor temperature anomalies is compared. Based on the fault tree analysis (FTA), a decision-making tree is developed to assist facility management (FM) professionals in identifying corresponding failed assets according to the detected anomalous symptoms. The AR system facilitates easy maintenance by highlighting the failed assets hidden behind walls/ceilings on site to the maintenance personnel. The system can thus provide enhanced support to facility managers in their daily O&M activities such as inspection, recording, communication and verification.FindingsTaking the indoor temperature inspection as an example, the case study demonstrates that the O&M management process can be improved using the proposed AR-enhanced inspection system. Comparative analysis of different anomaly detection algorithms reveals that the binary segmentation-based change point detection is effective and efficient in identifying temperature anomalies. The decision-making tree supported by FTA helps formalise the linkage between temperature issues and the corresponding failed assets. Finally, the AR-based model enhanced the maintenance process by visualising and highlighting the hidden failed assets to the maintenance personnel on site.Originality/valueThe originality lies in bringing together the advances in augmented reality, digital twins and data-driven decision-making to support the daily O&M management activities. In particular, the paper presents a novel binary segmentation-based change point detection for identifying temperature anomalous symptoms, a decision-making tree for matching the symptoms to the failed assets, and an AR system for visualising those assets with related information.
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Gheisari, Masoud, and Javier Irizarry. "Investigating human and technological requirements for successful implementation of a BIM-based mobile augmented reality environment in facility management practices." Facilities 34, no. 1/2 (February 1, 2016): 69–84. http://dx.doi.org/10.1108/f-04-2014-0040.
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Purpose – With the facility management industry increasingly adopting building information modeling (BIM) technologies, there is a need to investigate where this industry stands in its application. Moreover, studies on efficient and cost-effective solutions to integrate BIM and mobile augmented reality (MAR) present an environment where facility managers can experience an intuitive natural interaction with their mobile interfaces to efficiently access needed information. The industry’s view on this new approach of accessing information from BIM models should also be investigated, and its feedback should be considered for future phases of this avenue of research. Design/methodology/approach – This paper explores not only how BIM can be beneficial to facility management practitioners, but also how its integration with MAR and making the data accessible through handheld mobile devices can enhance current facility management practices. An online survey was conducted to assess professional facility managers’ characteristics, technology use and working environment as well as the current status of BIM application in their practices. An online video scenario has also been used to illustrate to facility managers how an ideal BIM-MAR-integrated environment could provide them with mobile access to their required information. Facility managers’ feedback on usability, applicability and challenges of such environment has also been investigated through a follow-up survey. Findings – With this paper, industry practitioners as well as academic researchers will be able to understand the current status of BIM and mobile computing application in facility management along with the benefits and challenges of implementing these technologies in an augmented reality (AR) environment. Originality/value – Understanding facility managers’ requirements, characteristics and the way they do their tasks would be of great value for development of tools or systems that would facilitate their practices.
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Zhan, Jian, Xin Janet Ge, Shoudong Huang, Liang Zhao, Johnny Kwok Wai Wong, and Sean XiangJian He. "Improvement of the inspection-repair process with building information modelling and image classification." Facilities 37, no. 7/8 (May 7, 2019): 395–414. http://dx.doi.org/10.1108/f-01-2018-0005.
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Purpose Automated technologies have been applied to facility management (FM) practices to address labour demands of, and time consumed by, inputting and processing manual data. Less attention has been focussed on automation of visual information, such as images, when improving timely maintenance decisions. This study aims to develop image classification algorithms to improve information flow in the inspection-repair process through building information modelling (BIM). Design/methodology/approach To improve and automate the inspection-repair process, image classification algorithms were used to connect images with a corresponding image database in a BIM knowledge repository. Quick response (QR) code decoding and Bag of Words were chosen to classify images in the system. Graphical user interfaces (GUIs) were developed to facilitate activity collaboration and communication. A pilot case study in an inspection-repair process was applied to demonstrate the applications of this system. Findings The system developed in this study associates the inspection-repair process with a digital three-dimensional (3D) model, GUIs, a BIM knowledge repository and image classification algorithms. By implementing the proposed application in a case study, the authors found that improvement of the inspection-repair process and automated image classification with a BIM knowledge repository (such as the one developed in this study) can enhance FM practices by increasing productivity and reducing time and costs associated with ecision-making. Originality/value This study introduces an innovative approach that applies image classification and leverages a BIM knowledge repository to enhance the inspection-repair process in FM practice. The system designed provides automated image-classifying data from a smart phone, eliminates time required to input image data manually and improves communication and collaboration between FM personnel for maintenance in the decision-making process.
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Murnane, Richard, Alanna Simpson, and Brenden Jongman. "Understanding risk: what makes a risk assessment successful?" International Journal of Disaster Resilience in the Built Environment 7, no. 2 (April 11, 2016): 186–200. http://dx.doi.org/10.1108/ijdrbe-06-2015-0033.
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Purpose Understanding risk is more than just modeling risk; it requires an understanding of the development and social processes that underlie and drive the generation of disaster risk. Here, in addition to a review of more technical factors, this paper aims to discuss a variety of institutional, social and political considerations that must be managed for the results of a risk assessment to influence actions that lead to reductions in natural hazard risk. Design/methodology/approach The technical approaches and the institutional, social and political considerations covered in this paper are based on a wide range of experiences gleaned from case studies that touch on a variety of activities related to assessing the risks and impacts of natural hazards, and from the activities of the World Bank’s Global Facility for Disaster Reduction and Recovery. Findings Risk information provides a critical foundation for managing disaster risk across a wide range of sectors. Appropriate communication of robust risk information at the right time can raise awareness and trigger action to reduce risk. Communicating this information in a way that triggers action requires an understanding of the developments and social processes that underlie and drive the generation of risk, as well as of the wider Disaster Risk Management (DRM) decision-making context. Practical implications Prior to the initiation of a quantitative risk assessment one should clearly define why an assessment is needed and wanted, the information gaps that currently prevent effective DRM actions and the end-users of the risk information. This requires developing trust through communication among the scientists and engineers performing the risk assessment and the decision-makers, authorities, communities and other intended users of the information developed through the assessment. Originality/value This paper summarizes the technical components of a risk assessment as well as the institutional, social and political considerations that should be considered to maximize the probability of successfully reducing the risk defined by a risk assessment.
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Deng, Min, Carol C. Menassa, and Vineet R. Kamat. "From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry." Journal of Information Technology in Construction 26 (February 3, 2021): 58–83. http://dx.doi.org/10.36680/j.itcon.2021.005.
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The widespread adoption of Building Information Modeling (BIM) and the recent emergence of Internet of Things (IoT) applications offer several new insights and decision-making capabilities throughout the life cycle of the built environment. In recent years, the ability of real-time connectivity to online sensors deployed in an environment has led to the emergence of the concept of the Digital Twin of the built environment. Digital Twins aim to achieve synchronization of the real world with a virtual platform for seamless management and control of the construction process, facility management, environment monitoring, and other life cycle processes in the built environment. However, research in Digital Twins for the built environment is still in its nascent stages and there is a need to understand the advances in the underlying enabling technologies and establish a convergent context for ongoing and future research. This paper conducted a systematic review to identify the development of the emerging technologies facilitating the evolution of BIM to Digital Twins in built environment applications. A total of 100 related papers including 23 review papers were selected and reviewed. In order to systematically classify the reviewed studies, the authors developed a five-level ladder categorization system based on the building life cycle to reflect the current state-of-the-art in Digital Twin applications. In each level of this taxonomy, applications were further categorized based on their research domains (e.g., construction process, building energy performance, indoor environment monitoring). In addition, the current state-of-art in technologies enabling Digital Twins was also summarized from the reviewed literature. It was found that most of the prior studies conducted thus far have not fully exploited or realized the envisioned concept of the Digital Twin, and thus classify under the earlier ladder categories. Based on the analysis of the reviewed work and the trends in ongoing research, the authors propose a concept of an advanced Digital Twin for building management as a baseline for further studies.
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Stojanovic, V., M. Trapp, R. Richter, and J. Döllner. "A SERVICE-ORIENTED INDOOR POINT CLOUD PROCESSING PIPELINE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W17 (November 29, 2019): 339–46. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-339-2019.
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Abstract. Visualization of point clouds plays an important role in understanding the context of the digital representation of the built environment. Modern commodity mobile devices (e.g., smartphones and tablets), are capable of capturing representations in the form of 3D point clouds, with their depth-sensing and photogrammetry capabilities. Points clouds enable the encoding of important spatial and physical features of the built environment they represent. However, once captured, point clouds need to be processed before they can be used for further semantic enrichment and decision making. An integrated pipeline for such processes is crucial for use in larger and more complex enterprise systems and data analysis platforms, especially within the realm of Facility Management (FM) and Real Estate 4.0. We present and discuss a prototypical implementation for a service-oriented point cloud processing pipeline. The presented processing features focus on detecting and visualizing spatial deviations between as-is versus as-designed representations. We discuss the design and implementation of these processing features, and present experimental results. The presented approach can be used as a lightweight software component for processing indoor point clouds captured using commodity mobile devices, as well as primary deviation analysis, and also provides a processing link for further semantic enrichment of base-data for Building Information Modeling (BIM) and Digital Twin (DT) applications.
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Mastrolembo Ventura, Silvia, Fadi Castronovo, and Angelo L. C. Ciribini. "A design review session protocol for the implementation of immersive virtual reality in usability-focused analysis." Journal of Information Technology in Construction 25 (April 1, 2020): 233–53. http://dx.doi.org/10.36680/j.itcon.2020.014.
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Research and applications related to Virtual Reality (VR) in the Architecture, Engineering, Construction and Facility Management (AEC/FM) industry are steadily increasing, being considered as one of the current trends in digital innovation. A convergence is currently on-going between Building Information Modelling (BIM), VR implementation and the soft landings principles, which highlight the need for a smooth transition from design to operation through the early involvement of clients and end-users. In particular, immersive virtual environments could allow stakeholders to experience the full-scale representation of a virtual facility prototype in an intuitive and engaging manner through immersion and sense of presence, promoting feedback collection during usability-focused design review meetings. On the other hand, despite the renewed interest in immersive VR, both technological and procedural challenges to its effective implementation still exist. The latter are within the scope of this study, which aims to address them in a systematic way as a comprehensive guideline for clients and design teams. This study describes the development of a VR-aided usability-focused design review session protocol for implementing immersive VR when clients and end-users are involved in design review meetings. It is the result of an inductive approach associated with qualitative research methods for data collection and data analysis. A case study has been selected as a main research method for facing the first step into the research problem. A further iteration of data collection and analysis was adopted to guarantee the validity of the research, including talks with experts and literature comparison. Finally, the session protocol has been developed in the form of a process map representing all the necessary phases and activities to consider for the effective adoption of immersive VR to evaluate design intents with clients and end-users. As a comprehensive summary, the session protocol fills a gap in the research on the adoption of virtual reality in the AEC industry, which was lacking a prescriptive and structured process to drive the effective use of this technology in collaborative meetings and decision-making processes.
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Chen, Kuan-Lin, and Meng-Han Tsai. "Conversation-Based Information Delivery Method for Facility Management." Sensors 21, no. 14 (July 13, 2021): 4771. http://dx.doi.org/10.3390/s21144771.
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Facility management platforms are widely used in the facility maintenance phase of the building life cycle. However, a large amount of complex building information affects facility managers’ efficiency and user experience in retrieving specific information on the facility management platform. Therefore, this research aims to develop a conversation-based method to improve the efficiency and user experience of facility management information delivery. The proposed method contains four major modules: decision mechanism, equipment dataset, intent analysis, and knowledge base. A chatbot prototype was developed based on the proposed method. The prototype was then validated through a feasibility test and field test at the Shulin Arts Comprehensive Administration Building in Taiwan. The results showed that the proposed method changes the traditional information delivery between users and the facility management platform. By integrating natural language processing (NLP), building information modelling (BIM), and ontological techniques, the proposed method can increase the efficiency of FM information retrieval.
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Moon, Jukrin, Farzan Sasangohar, S. Camille Peres, Timothy J. Neville, and Changwon Son. "Modeling Team Cognition in Emergency Response via Naturalistic Observation of Team Interactions." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1801–2. http://dx.doi.org/10.1177/1541931218621408.
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Emergency responders work collectively as an ad hoc team to save lives and infrastructures at risk, despite their varying experience, knowledge, cultural backgrounds, and difficult working conditions with high-levels of uncertainty and timepressure. Cognition, in particular, has gained attention as a key construct to consider in collective response efforts in emergency management. Team cognition, however, has not been fully appreciated or adequately addressed in the field of emergency response (Bigley & Roberts, 2001). The interactionist perspective (or interactive team cognition) effectively captures team cognition in heterogeneous and dynamic teams prevalent in the real-world (Cooke & Gorman, 2009; Cooke, Gorman, Myers, & Duran, 2013). Although researchers in the emergency response discipline appreciate the value of viewing team cognition as interaction (Comfort, 2007; Bergeron & Cooren, 2012; Wolbers & Boersma, 2013), an associated empirical or interventional attempt using this perspective remains scarce. Tracing the scarcity of literature back to lack of context-specific theorizing efforts (Moon, Peres, & Sasangohar, 2017), an observation-based, theory-building approach is utilized here to address this gap. The naturalistic observational study presented here is an initial effort to explore team cognition for an incident management team (IMT) as an interactive system. An IMT is an ad hoc team of command-level responders. Interestingly, an IMT is a team of functional sub-teams or sections (i.e., Command, Planning, Operations, Logistics, and Finance/ Administration). Within each sub-team there is also a team of functional units. This naturalistic observational study was conducted at a high-fidelity simulator replicating a generic IMT facility, i.e., the emergency operations training center (EOTC), College Station, TX. Interactions were observed and coded in terms of who initiated the interaction and with whom, which technology was being used, and what was communicated and for what purpose. The purpose of this study is to develop a theoretical interactionist model of team cognition in emergency response, to inform future interventional attempts to improve team decision-making. To do so, this study views a Plans team as a cognitive system capable of managing information through interdependent, nonlinear, and dynamic interactive behaviors for perceiving (P), diagnosing (D), and adapting (A) to the changes in the status of critical elements (Adapted from Moon et al., 2017). The proposed P·D·A model posits the following three premises: (1) a Plans team is a cognitive system where its team cognition is interactions of team members to complete a cognitive task; (2) team cognition for each of the three sub-teams of a Plans team is tied to the context-specific cognitive tasks of perceiving (P), diagnosing (D), and adapting (A) to the changes in the status of critical elements; and (3) team cognition for a Plans team is manifested as nonlinear, interdependent, and dynamic interactions within and among P, D, and A of the three sub-teams of the Plans team. Preliminary results from a content analysis of transcribed and coded interactions suggest that an Info/Intel unit, a Situation unit, and a Section Chief unit can be hypothesized to be critical contributors of team cognition for a Plans team in terms of P, D, and A, respectively. These hypotheses can be represented with network centrality measures as follows: Hypothesis 1. An Info/Intel unit has high in-degree and out-degree centrality with non-Plans teams. Hypothesis 2. A Situation unit has high betweenness centrality within a Plans team. Hypothesis 3. A Section Chief unit has high in-degree and out-degree centrality within a Plans team, and high betweenness centrality between the Plans team and non-Plans teams. The proposed P·D·A model illustrates the benefits of viewing team cognition as interaction within and among a team of teams, for context-specific tasks of P, D, and A. Most importantly, the model effectively captures the nonlinear, interdependent, and dynamic nature of team cognition as interaction in a multiteam system, or MTS (Marks, DeChurch, Mathieu, Panzer, & Alonso, 2005; Bienefeld & Grote, 2014), embedded in complex socio-technical systems, STS (Vicente, 2002). As the information processing model views an individual as a cognitive system or a human information processing system (Wickens, 1992), the P·D·A model views a team as a cognitive system capable of managing information. The interactionist perspective on team cognition helps the P·D·A model to realize its potential to extend an individual cognition model to a team level. The interactionist perspective is “compatible with the view of human-machine system as a unitary system” (Cooke & Gorman, 2009, p. 28). In addition to the theoretical and practical implications, this study has methodological implications. Measuring interactive team cognition with network-based metrics (currently in progress) will open a new chapter. The need of incorporating a network perspective into team cognition in emergency response is in line with the literature (Wolbers & Boersma, 2013; Steigenberger, 2016). As a future work, the P·D·A model will be further developed with network and content analysis and validated through interviews with Subject Matter Experts (SMEs) involved in Hurricane Harvey.
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Alwan, Zaid, and Barry J. Gledson. "Towards green building performance evaluation using asset information modelling." Built Environment Project and Asset Management 5, no. 3 (July 6, 2015): 290–303. http://dx.doi.org/10.1108/bepam-03-2014-0020.
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Purpose – The purpose of this paper is to provide a unique conceptual framework for integrated asset management strategy that includes making use of available facility assessment methods and tools such as BREEAM In-Use, and Leadership in Energy and Environmental Design (LEED); and highlights proposes areas of commonality between these and the use of as-built Building Information Modelling, that ultimately becomes the Asset Information Model (AIM). This framework will consider the emerging requirements for the capture of Building Performance Attribute Data (BPAD), and how these can be managed in order to assist with effective post-construction building performance evaluation. Design/methodology/approach – A review of the current process relevant to the development of as-built BIMs and AIMs was undertaken which included a discussion of BIM standards and of the COBie process. This was combined with data provided by industry practitioners. This led to the concept of BPADs being developed, to be used within existing green building tool, BREEAM In-Use, COBIE and FM/Asset management methods. In turn these methodologies were used to identify possible synergies and areas of integration in AIM-enabled environments. Findings – Recognising the cyclical nature of asset management and BIM, a conceptual model was generated. It was found that BPADs could be aggregated within an AIM model which could influence the delivery of effective facilities and asset management. The model considers the use of existing Building Management Systems (BMS) and Computer Aided Facility Management Systems (CAFMs) and identifies issues associated with the overall sustainability strategy. Originality/value – A conceptual framework is generated that proposes the use of effective information management and aggregation of BPAD within an AIM.
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Firdauz, A. M., M. Sapri, and I. S. Mohammad. "Facility management knowledge development in Malaysia." Facilities 33, no. 1/2 (February 2, 2015): 99–118. http://dx.doi.org/10.1108/f-04-2013-0034.
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Purpose – The purpose of this paper is to clarify recent research on knowledge development in Facility Management (FM); identify types of knowledge and its degree of importance in the FM field within the Malaysian environment; and how does it benefit Hospitality Management (HM) in terms of managerial competency. Design/methodology/approach – The nature of this study is quantitative. Data were gathered through questionnaires distributed to various practitioners in the FM field in the private sector and government sector in Malaysia. Findings – The analysis results support that all types of knowledge, which was considered important, are required to develop a conceptual model of training syllabus for an intensive training program. The analysis results will be discussed in the context of hospitality management. In addition, a decision-making tree model was created to facilitate the training program in the future with the aim of developing a competency model. Research limitations/implications – Most of the participants have experience with the FM field. Future research is recommended to include the conceptual model of training syllabus in analysis information relating to managers directly involved with the orientation of HM. Originality/value – This paper presents a quantitative survey regarding the importance of knowledge in the FM industry in Malaysia and generally discusses the link between FM and Hospitality managerial competency. Further, this research delivers useful information for FM and HM managers who intend to further develop the practical training program based on the proposed decision-making tree model.
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Charehzehi, Aref, ChangSaar Chai, Aminah Md Yusof, Heap-Yih Chong, and Siaw Chuing Loo. "Building information modeling in construction conflict management." International Journal of Engineering Business Management 9 (January 1, 2017): 184797901774625. http://dx.doi.org/10.1177/1847979017746257.
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Dispute is recognized as critical cause of deficiency and low performance in construction projects. Plenty of studies have been done in construction dispute management recently; however, there are no studies on construction dispute elimination. This study aims to propose a building information modeling (BIM) approach to control conflict causes before the occurrence of dispute. BIM is one of the latest platforms that promote a high level of collaboration, information sharing, and coordination where its implementation ranges from project initialization to completion stage. The circumstances associating with BIM technology can be utilized to explore the possibilities in conflict and dispute resolution system. Questionnaire surveys are used to collect the primary data. Analytical hierarchy process (AHP) and multi attribute utility technique (MAUT) are adopted to develop an algorithm and a decision-making framework to manage and resolve the potential conflict causes, particularly for the Malaysian construction industry. Data analysis emerged that five critical conflict factors in Malaysian construction industry are insufficient monitoring of CPM scheduling and updates requirements; failures to understand and correctly bid or price the works; delay in running bill payment; inadequate contractors’ management, supervision, and coordination; and error and omission in design that are originated from time, cost, quality, and documentation. Further analysis to prioritize BIM functions in construction conflict management has been done by the combination of AHP and MAUT results. Consequently, it is affirmed that clash detection and cost estimating, 4D scheduling, 3D visualization and structure analysis as BIM functions obtained the highest score to control conflicting factors.
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Moraes, Eduardo Cardoso, Ana Paula Tanajura, and Herman Augusto Lepikson. "New Technologies for Asset Management Applied to Oil Fields." Advanced Materials Research 746 (August 2013): 581–87. http://dx.doi.org/10.4028/www.scientific.net/amr.746.581.
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Asset management is an integrated process that aims to achieve the alignment of corporate goals, information systems capable of making rigorous and consistent spending decisions based on asset-level data and cross-functional expertise between the various business process skills. In oil fields, managing the asset requires the decision-making from an integrated analysis of data that enables the understanding of interventions in the field in a comprehensive manner. For this, we propose an approach that by building a database of technical and economic variables, procedures and engineering methods to structure the information, and alignment with organizational strategy, more rational decision and better performances will be possible. These decisions can affect daily oilfield operations, direct investments or even disable an oil field facility.
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Fung, Devlin, and Susan Wilkes. "A GIS Approach To Casino Market Modeling." Journal of Applied Business Research (JABR) 14, no. 4 (August 29, 2011): 77. http://dx.doi.org/10.19030/jabr.v14i4.5654.
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<span>The casino entertainment industry has emerged as one of the greatest contributors to nations economy in terms of revenues, employment opportunities, and the building and construction industry. As a high investment business information from market research is a critical part of in the initial investment plan. The use of Geographic Information Systems has played an important role to assist decision making in business applications. It provides a whole new dimension to information processing by introducing spatial aspect to market research. The case suty in this research paper demonstrates the application of GIS for analyzing the casino center markets in Louisiana and Mississippi, and its use as a decision support tool in an executive information system.</span>
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Lesi Hertati, Otniel Safkaur, and Aoron M. Simanjuntak. "How to Align Management Commitments to the Successful Implementation of Management Accounting Information Systems in Manager Decision Making." Ilomata International Journal of Tax and Accounting 1, no. 2 (March 31, 2020): 89–102. http://dx.doi.org/10.52728/ijtc.v1i2.63.
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This study investigates the effect of management commitment on the successful application of management accounting information systems and their implications for manager decision making. The unit of analysis in this study is the functional unit in Small and Medium Enterprises in Indonesia. This research also implies that the responsiveness of organizations to the successful implementation of management accounting information systems is very important not only for internal and external but for the organization itself in building a sustainable corporate image, and successes that enhance organizational reputation and manager's understanding of financial and non-financial information. finance is in line with the increasing commitment of the management in the company. Furthermore, this study states that management commitment influences the success of management accounting information systems and their implications for manager decision making. The Lisrel SEM modeling results confirm that management's commitment to the success of management accounting information systems and their implications for managerial decision making have a significant effect.
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Bin Ismail, Zul-Atfi. "Development of a defect monitoring system (DMOSYS) for building maintenance at polytechnic." Facilities 36, no. 7/8 (May 8, 2018): 403–22. http://dx.doi.org/10.1108/f-09-2016-0090.
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Purpose The current maintenance management method has affected the efficiency of the building facility management at Polytechnics. Many issues such as poor service delivery, inadequate finance, poor maintenance planning and maintenance backlogs have emerged due to the usage of conventional method application (paper-based form and unsystematic database. The purpose of this paper is to review existing literature and case studies project of the technologies in maintenance management at Polytechnic, and subsequently to identify the challenge in improving the current maintenance management technologies. Design/methodology/approach The purpose of this paper is to review existing literature and case studies project of the technologies in maintenance management at Polytechnic, and subsequently to identify the challenges of information and communication technology (ICT) implementation for strategic defect diagnosis and decision-making in improving the current maintenance management technologies. Eight Polytechnics are selected on the basis of the major problems of using the conventional method in the comparison to investigate the maintenance management practices in each Polytechnic. There are around 32 Polytechnics in Malaysia and most are using conventional methods. Findings The findings reveal the need for a more sophisticated maintenance management system that provides guidelines for decision-making processes with the implementation of ICT. The interview results also reveal irregularities within the Malaysian Polytechnics’ maintenance management database. The system architecture and the information system prototype are presented to integrate the information database and maintenance management processes in improving the building diagnosis approach and decision-making process for managing building maintenance. Originality/value This new system is expected to become the successful technology in assisting the maintenance contractors, clients and developer for effective management of maintenance defects at Polytechnic.
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Ismail, Zul-Atfi. "System development toward effective maintenance management practices." Built Environment Project and Asset Management 4, no. 4 (September 2, 2014): 406–22. http://dx.doi.org/10.1108/bepam-11-2013-0059.
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Purpose – The current maintenance management method has affected the efficiency of the building facility management at Polytechnics. Many issues such as poor service delivery, inadequate finance, poor maintenance planning and maintenance backlogs have emerged due to the usage of conventional method application (paper-based form and unsystematic database). Therefore, the proposed system improvement is intended to be used for maintenance management practices at Malaysian Polytechnics in order to provide high quality of building facility with safe and healthy environments. The paper aims to discuss these issues. Design/methodology/approach – Eight Polytechnics were selected based on major problems of using conventional method in the comparison to investigate the maintenance management practices in each Polytechnic. Findings – The overall findings of this research indicated; poor service delivery, inadequate financial, poor maintenance planning and maintenance backlogs. The system architecture and the conceptual process model are presented to integrate the information database and maintenance management processes in improving the building diagnosis approach and decision-making process for managing building maintenance. Originality/value – This new system development provides a better maintenance assessment for identifying symptoms, causes and reasons of building defects without depending on the expensive instruments, for instance, non-destructive testing (NDT) and sensor technology. It also has the potential to become the successful technology in assisting the maintenance contractors, clients and developer for effective management of maintenance defects at Polytechnic.
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Chen, Shang Yuan. "USE OF GREEN BUILDING INFORMATION MODELING IN THE ASSESSMENT OF NET ZERO ENERGY BUILDING DESIGN." Journal of Environmental Engineering and Landscape Management 27, no. 3 (September 19, 2019): 174–86. http://dx.doi.org/10.3846/jeelm.2019.10797.
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In the face of extreme climate, Net Zero Energy Buildings (NZEBs) represent a very high standard of building energy conservation. The design of NZEBs requires continuous design improvement and analysis in a decision-making process that seeks to meet energy conservation goals. This paper recommends the use of green Building Information Modelling (BIM) to support the design of zero-energy buildings. The design of NZEBs requires two sets of tasks: First, it requires determination of whether the building will offer high-energy efficiency, and, second, it lacks the installation of sufficient renewable energy equipment to meet the building’s load needs. After drawing on the spirit of the United States’ Leadership in Energy and Environmental Design and considering the current situation in Taiwan, this paper recommends the use of electricity Energy Usage Intensity as a measurement unit providing a holistic indicator of energy usage and takes optimized energy performance as a performance target for various solutions. This study demonstrated procedural steps in the application of green BIM and analyzed restrictions on the implementation of green BIM to the analysis of NZEB design.
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PENDHARKAR, PARAG C., and RAHUL BHASKAR. "A HYBRID BAYESIAN NETWORK-BASED MULTI-AGENT SYSTEM AND A DISTRIBUTED SYSTEMS ARCHITECTURE FOR THE DRUG CRIME KNOWLEDGE MANAGEMENT." International Journal of Information Technology & Decision Making 02, no. 04 (December 2003): 557–76. http://dx.doi.org/10.1142/s0219622003000872.
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In this paper, we describe an approach for building a hybrid Bayesian network-based multi-agent system for drug crime knowledge management. We use distributed artificial intelligence architecture to create a multi-agent information system that integrates distributed knowledge sources and information to aid decision-making. Our comparison of the hybrid system with a previously developed stand-alone expert system Sherpa, which was in use at a large drug crime investigation facility, shows that the current system compares similar to the existing system in terms of efficiency and effectiveness of knowledge management. We illustrate how the proposed hybrid bayesian network-based can be implemented in the distributed computing network environment.
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Merschbrock, Christoph, Ann Karina Lassen, Tor Tollnes, and Bjørn Erik Munkvold. "Serious games as a virtual training ground for relocation to a new healthcare facility." Facilities 34, no. 13/14 (October 3, 2016): 788–808. http://dx.doi.org/10.1108/f-02-2015-0008.
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Purpose This paper aims to enquire into how building information modelling (BIM) and gaming can be integrated to support professionals in their learning about the spatial layout of a new building. This knowledge is important to prepare building operation and facilities management (FM). Design/methodology/approach Ingrained in task–technology fit theory, this paper reports from a case study of a serious game staged in the graphical environment of a building information model. A series of interviews with the client, subject-matter experts and software developers involved in developing the game were conducted. The industrial setting for the study is a major hospital construction project in Norway. The project has been awarded BuildingSMART’s 2015 award for “outstanding open BIM practice”, making it Norway’s role model for BIM practice. Findings Importing and exporting geometry from BIM into a game engine remain challenging. The transfer of data between the two requires workarounds using intermediary software. Apart from issues related to technical interoperability, several sociotechnical challenges influential for the integration of BIM and gaming have been identified, related to: the collaboration among construction, operational and gaming experts; clear communication of information needs; and better contractual agreements. Research limitations/implications BIM’s geometric and semantic data enabled the creation of a sophisticated game for preparing building operation. Test-users perceived the game to be superior to classroom teaching for learning about the spatial layout of the building. However, quantifying the business value of the game for operation after occupancy of the new facilities was beyond the scope of this study. Originality/value The work presented exemplifies a novel application area of BIM and gaming technology in FM. The findings presented in this article are relevant for professionals and scholars seeking to expand the utility of BIM for starting up the operation of new facilities.
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Besiktepe, Deniz, Mehmet E. Ozbek, and Rebecca A. Atadero. "Condition Assessment Framework for Facility Management Based on Fuzzy Sets Theory." Buildings 11, no. 4 (April 10, 2021): 156. http://dx.doi.org/10.3390/buildings11040156.
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Condition information is essential to develop effective facility management (FM) strategies. Visual inspections and walk-through surveys are common practices of condition assessment (CA), generally resulting in qualitative and subjective outcomes such as “poor”, “good”, etc. Furthermore, limited resources of the FM process demand that CA practices be efficient. Given these, the purpose of this study is to develop a resource efficient quantitative CA framework that can be less subjective in establishing a condition rating. The condition variables of the study—mean time between failures, age-based obsolescence, facility condition index, occupant feedback, and preventive maintenance cycle—are identified through different sources, such as a computerized maintenance management system, expert opinions, occupants, and industry standards. These variables provide proxy measures for determining the condition of equipment with the implementation example for heating, ventilating, and air conditioning equipment. Fuzzy sets theory is utilized to obtain a quantitative condition rating while minimizing subjectivity, as fuzzy sets theory deals with imprecise, uncertain, and ambiguous judgments with membership relations. The proposed CA framework does not require additional resources, and the obtained condition rating value supports decision-making for building maintenance management and strategic planning in FM, with a comprehensive and less subjective understanding of condition.
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Melikhova, Tetiana, and Olena Mikhailutsa. "The concept of assessing the City Council management control level for effective decision making." SHS Web of Conferences 107 (2021): 11001. http://dx.doi.org/10.1051/shsconf/202110711001.
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In present paper, time series models of revenues and expenses of general and special local budget fund in Zaporizhzhia City Council for 2017-2020 are built. The possibility of forecasting time series has been investigated on the example of local budget revenues and expenses. The concept of assessing the level of management control which consists of information-analytical circuit, analysis and modeling circuit, and decision-making circuit has been proposed. The best options for absolute and comparative economic efficiency of accounting and economic expenses of management control have been substantiated. The forecast for calculating the absolute and comparative economic efficiency of management control on the data of Zaporizhzhia City Council is shown and the annual economic effect from its implementation is calculated. The methodological approaches to the analysis of income and expenses of the general and special fund have been improved. They, unlike existing methods, include time series modeling and studies describing complex changes in parameters over time. This made it possible to carry out high-quality management control and increase the efficiency of activities. The SPSS Statistics data analysis package is used for data processing, test assumption and building the future strategy.
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Ma, Zhiliang. "A BIM-based approach to reusing construction firm’s management information." Construction Economics and Building 12, no. 4 (October 15, 2015): 29–38. http://dx.doi.org/10.5130/ajceb.v12i4.3033.
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Nowadays most construction firms have begun to use information management systems in their business to work more efficiently. At the same time, a lot of management information is being accumulated and some of the information can be reused to support the decision-making. Up to now, the information has not been reused so effectively in construction firms as expected. This paper introduces a new approach to reusing construction firm’s management information, which is based on BIM (Building Information Modeling) technology. In the paper, the current approaches are reviewed at first, and then the framework of the new approach is described. Next, the key issues of the new approach are clarified. Finally, a use case of the new approach is demonstrated. It is concluded that the new approach can be used in construction firms to better reuse the accumulated management information.
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Hor, A.-H., A. Jadidi, and G. Sohn. "BIM-GIS INTEGRATED GEOSPATIAL INFORMATION MODEL USING SEMANTIC WEB AND RDF GRAPHS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4 (June 3, 2016): 73–79. http://dx.doi.org/10.5194/isprsannals-iii-4-73-2016.
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In recent years, 3D virtual indoor/outdoor urban modelling becomes a key spatial information framework for many civil and engineering applications such as evacuation planning, emergency and facility management. For accomplishing such sophisticate decision tasks, there is a large demands for building multi-scale and multi-sourced 3D urban models. Currently, Building Information Model (BIM) and Geographical Information Systems (GIS) are broadly used as the modelling sources. However, data sharing and exchanging information between two modelling domains is still a huge challenge; while the syntactic or semantic approaches do not fully provide exchanging of rich semantic and geometric information of BIM into GIS or vice-versa. This paper proposes a novel approach for integrating BIM and GIS using semantic web technologies and Resources Description Framework (RDF) graphs. The novelty of the proposed solution comes from the benefits of integrating BIM and GIS technologies into one unified model, so-called Integrated Geospatial Information Model (IGIM). The proposed approach consists of three main modules: BIM-RDF and GIS-RDF graphs construction, integrating of two RDF graphs, and query of information through IGIM-RDF graph using SPARQL. The IGIM generates queries from both the BIM and GIS RDF graphs resulting a semantically integrated model with entities representing both BIM classes and GIS feature objects with respect to the target-client application. The linkage between BIM-RDF and GIS-RDF is achieved through SPARQL endpoints and defined by a query using set of datasets and entity classes with complementary properties, relationships and geometries. To validate the proposed approach and its performance, a case study was also tested using IGIM system design.
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Hor, A.-H., A. Jadidi, and G. Sohn. "BIM-GIS INTEGRATED GEOSPATIAL INFORMATION MODEL USING SEMANTIC WEB AND RDF GRAPHS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4 (June 3, 2016): 73–79. http://dx.doi.org/10.5194/isprs-annals-iii-4-73-2016.
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In recent years, 3D virtual indoor/outdoor urban modelling becomes a key spatial information framework for many civil and engineering applications such as evacuation planning, emergency and facility management. For accomplishing such sophisticate decision tasks, there is a large demands for building multi-scale and multi-sourced 3D urban models. Currently, Building Information Model (BIM) and Geographical Information Systems (GIS) are broadly used as the modelling sources. However, data sharing and exchanging information between two modelling domains is still a huge challenge; while the syntactic or semantic approaches do not fully provide exchanging of rich semantic and geometric information of BIM into GIS or vice-versa. This paper proposes a novel approach for integrating BIM and GIS using semantic web technologies and Resources Description Framework (RDF) graphs. The novelty of the proposed solution comes from the benefits of integrating BIM and GIS technologies into one unified model, so-called Integrated Geospatial Information Model (IGIM). The proposed approach consists of three main modules: BIM-RDF and GIS-RDF graphs construction, integrating of two RDF graphs, and query of information through IGIM-RDF graph using SPARQL. The IGIM generates queries from both the BIM and GIS RDF graphs resulting a semantically integrated model with entities representing both BIM classes and GIS feature objects with respect to the target-client application. The linkage between BIM-RDF and GIS-RDF is achieved through SPARQL endpoints and defined by a query using set of datasets and entity classes with complementary properties, relationships and geometries. To validate the proposed approach and its performance, a case study was also tested using IGIM system design.
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Dibley, Michael, Haijiang Li, Yacine Rezgui, and John Miles. "AN INTEGRATED FRAMEWORK UTILISING SOFTWARE AGENT REASONING AND ONTOLOGY MODELS FOR SENSOR BASED BUILDING MONITORING." Journal of Civil Engineering and Management 21, no. 3 (February 26, 2015): 356–75. http://dx.doi.org/10.3846/13923730.2014.890645.
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Smart building monitoring demands a new software infrastructure that can elaborate building domain knowledge in order to provide advanced and intelligent functionalities. Conventional facility management (FM) software tools lack semantically rich components, and that limits the capability of supporting software for automatic information sharing, resource negotiation and to assist in timely decision making. Recent hardware innovation on compact ZigBee sensor devices, software developments on ontology and intelligent software agent paradigms provide a good opportunity to develop tools that can further improve current FM practices. This paper introduces an integrated framework which includes a ZigBee based sensor network and underlying multi-agent software (MAS) components. Several different types of sensors were integrated with the ZigBee host devices to produce compact multi-functional sensor units. The MAS framework incorporates the belief-desire-intention (BDI) abstraction with ontology support (provided via explicit knowledge bases). The different software agent types have been developed to work with sensor hardware to conduct resource negotiation, to optimize battery utilization, to monitor building space in a non-intrusive way and to reason about its usage through real time ontology model queries. The deployed sensor network shows promising intelligent characteristics, and it has been applied in several on-going research projects as an underlying decision making service. More applications and larger deployments have been planned for future work.
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Tsilimantou, Elisavet, Ekaterini T. Delegou, Ioannis A. Nikitakos, Charalabos Ioannidis, and Antonia Moropoulou. "GIS and BIM as Integrated Digital Environments for Modeling and Monitoring of Historic Buildings." Applied Sciences 10, no. 3 (February 6, 2020): 1078. http://dx.doi.org/10.3390/app10031078.
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Multidisciplinary data integration within an information system is considered a key point for rehabilitation projects. Information regarding the state of preservation and/or decision making, for sustainable restoration is prerequisite. In addition, achieving structural integrity of a historic building, especially one that has undergone many construction phases and restoration interventions, is a very elaborate task and should, therefore, involve the study of multidisciplinary information regarding historical, architectural, building material and geometric data. In this paper the elaboration of such data within 2D and 3D information systems is described. Through the process described herein, a methodology, including the acquisition, classification and management of various multisensory data, is displayed and applied within a geographic information system (GIS). Moreover, the multidisciplinary documentation process, aggregated with the surveying products, generates 3D heritage building information modeling (HBIM), including information regarding construction phases, pathology and current state of preservation of a building. The assessment of the applied methodology is performed concluding in a qualitative and a quantitative manner, in both 2D and 3D environments, providing information to facilitate the structural assessment of a historic building. Thus, in this work, the described methodology is presented, combining the multidisciplinary data with the development of GIS thematic maps and an HBIM. Representative results of the suggested methodology applied on the historic building of Villa Klonaridi, Athens, Greece are displayed.
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Kostyukhin, Yu Yu. "Methodological provisions of building models of industrial enterprise development." Russian Journal of Industrial Economics 12, no. 1 (April 6, 2019): 69–78. http://dx.doi.org/10.17073/2072-1633-2019-1-69-78.
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In the age of information technology, characterized by a large amount of current data, the process of processing and structuring information has become particularly relevant. The basic approach for selecting information in the context of an information explosion should be the principle of sufficiency, i.e. information should be no more and no less, it should be enough to make a decision. After all, excessive information leads to informational noise and the risk of making the wrong decision. The correct and accurate formulation of the problem is the first and necessary stage of any system research. An important methodological issue is the need to identify the following relationships: a tool for realizing the goal, when it is most effective, what is the cost of its implementation and profitability, and the last question is the reverse return from this tool.The emerging problems are usually distinguished by the degree of their structuring: by clarity, by the awareness of their formulation, by the degree of their specification and specification, by the ratio of quantitative and qualitative factors. Considering this, there are three classes of problems: well-structured and quantitatively structured, poorly structured or mixed problems, unstructured or qualitative problems.And the last methodological problem is how to determine the criteria and indicators for achieving the goal, whether it is necessary to have a standard approach to determining the fulfillment of the goal or to take into account possible changes during the period of the fulfillment of the goal and correlate them to real changes that have occurred. The article proposes a 9-stage management decision making algorithm. It is shown that for poorly formalized tasks an effective tool is the method of qualitative modeling of complex organizational structures.
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Khalfan, Malik M. A., Salman Azhar, and Tayyab Maqsood. "Editorial." Construction Economics and Building 12, no. 4 (October 15, 2015): 13–14. http://dx.doi.org/10.5130/ajceb.v12i4.3047.
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The Architecture, Engineering and Construction (AEC) industries have long sought techniques to decrease project cost, increase productivity and quality, enhance safety, and reduce project delivery time. Building Information Modeling (BIM) offers the potential to achieve these goals. BIM simulates the construction project in a virtual environment. With BIM technology, an accurate virtual model of a facility is digitally constructed. When completed, the computer-generated model contains precise geometry and relevant data needed to support the programming, fabrication, procurement, construction, and post-construction activities. It can be used by project stakeholders for planning and decision making throughout the project life cycle. BIM represents a new paradigm within AEC, one that encourages integration of the roles of all stakeholders on a project. It has the potential to promote greater efficiency and harmony among players who, in the past, saw themselves as adversaries.
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Malinauskas, Pranas, and Tatjana Petrašsenko. "MULTIPLE CRITERIA ANALYSIS OF DWELLING FACILITIES MAINTENANCE/DAUGIABUČIŲ GYVENAMŲJŲ NAMŲ PRIEŽIŪROS PROCESO DAUGIAKRITERINĖ ANALIZĖ." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 7, no. 2 (April 30, 2001): 138–47. http://dx.doi.org/10.3846/13921525.2001.10531715.
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Nowadays the maintenance problem of many-flat houses becomes one of the mostly debatable points. Greatly pressing questions are the quality of maintenance work and evaluation of public utilities. In this paper, the process of building maintenance is analyzed, in order to plan and carry out a more effective maintenance process. Striving for this aim the activities of subjects carrying out maintenance work, demands of building users were analyzed in a complex way and the comparison of maintenance variants was made. Striving for prolonging the time of building existence, it is necessary to increase maintenance quality and effectiveness in distributing resources, to improve organisational and management forms, to raise qualification of maintenance executives. The determination of the utility degree and value of the project under investigation and establishment of the priority order for its implementation does not present much difficulty, if the criteria numerical values and significances are obtained and the multiple criteria decision-making methods are used. The results of the comparative analysis of the projects are presented as a decision-making matrix where columns contain n alternative projects being considered, while all qualitative information pertaining to them is found in lines. Qualitative description of the project provides the information about the aspects of a building facility (i e convenience, work quality, health level of environment, noise level, work level, etc). Qualitative information is based on the criteria systems, units of measurement, values and initial significances as well as the data on the alternative projects development. In order to select the best project, it is necessary, having formed the decision-making matrix, to perform the multiple criteria analysis of the projects. One of the major tasks is to determine the significances of the criteria. When performing multiple criteria assessment of projects, it is necessary to normalise the values of criteria describing the projects and then to weigh them. The significances of all criteria must be coordinated among themselves. A method of multiple criteria evaluation of the projects discussed in this paper assumes a direct and proportional dependence of significance and priority of investigated versions on a system of criteria adequately describing the alternatives and on values and significances of the criteria. The system of criteria is determined and experts calculate the values and initial significances of criteria. All this information can be corrected by process participants (customer, users, etc) taking into consideration their pursued goals and existing capabilities. The degree of utility AT of a building life cycle is directly associated with quantitative and conceptual information related to it. A degree of building life cycle reflects the extent to which the goals pursued by the process participants are attained.
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Zheng, Feng, Han Rong Lu, Yan An, and Le Jiang Guo. "The Research and Implementation of Geospatial Data Management Based on ArcGIS Service." Advanced Materials Research 605-607 (December 2012): 2379–82. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2379.
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The main objective of this paper is to design and develop a basis geospatial data management system. It offers database building, conversion, topology check, query statistics, data extraction, cartographic output, analysis and decision-making for massive geospatial data on a range of basic geospatial data management function. The main research includes the design of basis geospatial database, data management system and the key technologies in system development. Geographic information from 2D to 3D is the result of technical progress and demand-driven, 3D modeling and 3D visualization environment-based spatial analysis and query is the future development direction of the geospatial data management system.
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Naneva, Anita, Marcella Bonanomi, Alexander Hollberg, Guillaume Habert, and Daniel Hall. "Integrated BIM-Based LCA for the Entire Building Process Using an Existing Structure for Cost Estimation in the Swiss Context." Sustainability 12, no. 9 (May 5, 2020): 3748. http://dx.doi.org/10.3390/su12093748.
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The building sector has a significant potential to reduce the material resource demand needed for construction and therefore, greenhouse gas (GHG) emissions. Digitalization can help to make use of this potential and improve sustainability throughout the entire building’s life cycle. One way to address this potential is through the integration of Life Cycle Assessment (LCA) into the building process by employing Building Information Modeling (BIM). BIM can reduce the effort needed to carry out an LCA, and therefore, facilitate the integration into the building process. A review of current industry practice and scientific literature shows that companies are lacking the incentive to apply LCA. If applied, there are two main approaches. Either the LCA is performed in a simplified way at the beginning of the building process using imprecise techniques, or it is done at the very end when all the needed information is available, but it is too late for decision-making. One reason for this is the lack of methods, workflows and tools to implement BIM-LCA integration over the whole building development. Therefore, the main objective of this study is to develop an integrated BIM-LCA method for the entire building process by relating it to an established workflow. To avoid an additional effort for practitioners, an existing structure for cost estimation in the Swiss context is used. The established method is implemented in a tool and used in a case study in Switzerland to test the approach. The results of this study show that LCA can be performed continuously in each building phase over the entire building process using existing Building Information Modeling (BIM) techniques for cost estimation. The main benefit of this approach is that it simplifies the application of LCA in the building process and therefore gives incentives for companies to apply it. Moreover, the re-work caused by the need for re-entering data and the usage of many different software tools that characterize most of the current LCA practices is minimized. Furthermore, decision-making, both at the element and building levels, is supported.
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Liu, Zhansheng, Xintong Meng, Zezhong Xing, and Antong Jiang. "Digital Twin-Based Safety Risk Coupling of Prefabricated Building Hoisting." Sensors 21, no. 11 (May 21, 2021): 3583. http://dx.doi.org/10.3390/s21113583.
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Safety management in hoisting is the key issue to determine the development of prefabricated building construction. However, the security management in the hoisting stage lacks a truly effective method of information physical fusion, and the safety risk analysis of hoisting does not consider the interaction of risk factors. In this paper, a hoisting safety risk management framework based on digital twin (DT) is presented. The digital twin hoisting safety risk coupling model is built. The proposed model integrates the Internet of Things (IoT), Building Information Modeling (BIM), and a security risk analysis method combining the Apriori algorithm and complex network. The real-time perception and virtual–real interaction of multi-source information in the hoisting process are realized, the association rules and coupling relationship among hoisting safety risk factors are mined, and the time-varying data information is visualized. Demonstration in the construction of a large-scale prefabricated building shows that with the proposed framework, it is possible to complete the information fusion between the hoisting site and the virtual model and realize the visual management. The correlative relationship among hoisting construction safety risk factors is analyzed, and the key control factors are found. Moreover, the efficiency of information integration and sharing is improved, the gap of coupling analysis of security risk factors is filled, and effective security management and decision-making are achieved with the proposed approach.
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JANG, Sejun, and Ghang LEE. "Impact of organizational factors on delays in BIM-based coordination from a decision-making view: a case study." Journal of Civil Engineering and Management 24, no. 1 (March 1, 2018): 19–30. http://dx.doi.org/10.3846/jcem.2018.296.
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This study analyzed the impact of organizational factors on delays in building information modeling (BIM)- based coordination for mechanical, electrical, and plumbing (MEP) systems from the decision-making perspective. Recently BIM-based coordination has been regarded as a critical phase in project delivery but suffers from delays during the coordination process. This study investigated three complexity factors that often contribute to coordination delays: the number of participants – the total number of participants involved in a decision-making process for resolving a coordination issue; the level of the decision makers – the highest decision-maker involved in a problem-resolution process; and the heterogeneity of participants –the number of trades related to an issue. Using 95 major coordination issues derived from 11,808 clashes in a case study, the correlations between the coordination time and the complexity factors were analyzed. The coordination time linearly increased as each factor increased. The number of participants had the highest correlation with the coordination time, followed by the level of decision makers and the heterogeneity of participants. The findings stress the significance of integration between BIM and lean approaches, such as Obeya (big room) and Shojinka (flexible manpower line), during BIM-based coordination to expedite decision-making processes and eventually to reduce the coordination time.
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Assem, Ayman, Sherif Abdelmohsen, and Mohamed Ezzeldin. "Smart management of the reconstruction process of post-conflict cities." Archnet-IJAR: International Journal of Architectural Research 14, no. 2 (October 5, 2019): 325–43. http://dx.doi.org/10.1108/arch-04-2019-0099.
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Purpose Cities lying within conflict zones have continually faced hardships of both war aftermath and long-term sustainable reconstruction. Challenges have surpassed the typical question of recovery from post-conflict trauma, preserving urban heritage and iconic elements of the built environment, to face issues of critical decision making, rebuilding effectiveness and funding mechanisms, leading to time-consuming processes that lack adequate consistent long-term management. Some approaches have explored methods of effective long-term city reconstruction management but have not fully developed comprehensive approaches that alleviate the management of such complex processes. The paper aims to discuss these issues. Design/methodology/approach The authors devise an approach for the smart management of post-conflict city reconstruction. The authors focus on evaluation, strategic planning, reconstruction projects and implementation. The authors integrate building information modeling and geographic/geospatial information systems in a platform that allows for real-time analysis, reporting, strategic planning and decision making for managing reconstruction operations and projects among involved stakeholders including government agencies, funding organizations, city managers and public participants. Findings The approach suggested a smart management system for the reconstruction process of post-conflict cities. Implementing this system was shown to provide a multi-objective solution for post-conflict city reconstruction based on its interlinked modules. Research limitations/implications Results may lack generalizability and require testing on several cases to provide rigorous findings for different case studies. Practical implications Implications include developing smart management systems for use by city managers and government authorities in post-conflict zones, as well as bottom-up decision making by including participant citizens especially populations in the diaspora. Originality/value The approach offers an integrated platform that informs city reconstruction decision makers, allowing for strategic planning tools for efficient planning, monitoring tools for continuous management during and after reconstruction, and effective platforms for communication among all stakeholders.
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Harris, Debra, and Lori Fitzgerald. "Life-cycle cost analysis (LCCA): a comparison of commercial flooring." Facilities 35, no. 5/6 (April 4, 2017): 303–18. http://dx.doi.org/10.1108/f-10-2015-0071.
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Purpose The business case for facility expenditures is grounded in the knowledge that life-cycle economics is significant to the continued viability of the facility. The aim of this study is to develop an algorithm for life-cycle cost analysis (LCCA) and evaluate flooring products to inform decision makers about the long-term cost of ownership. Design/methodology/approach The protocol for executing an LCCA is defined by the National Institute of Standards and Technology, including defining the problem, identifying feasible alternatives and establishing common assumptions and parameters, as well as acquiring financial information. Data were provided by an independent third-party source. Findings The results of this study are twofold: assess functionally equivalent flooring alternatives to determine the best financial value and develop a replicable protocol and algorithm for LCCA. The study found that modular carpet was the best financial solution. As a tool for decision makers, this LCCA informs asset management about the long-term cost of ownership, providing a protocol for making practical, informed decisions for the lowest cost solution for functionally equivalent alternatives. Research limitations/implications Projecting LCCA beyond 15 years may have limited value based on potential changes in the financial climate. Further research should focus on the implications of changes in the discount rate over time and testing the algorithm on other building systems. Practical implications Maintenance costs are considerable when compared to initial cost of flooring. Equipment costs have a significant impact on long-term cost of ownership. Using LCCA to inform specifications and to determine the best solution for a building system such as flooring provides an evidence-based process for building design and facility management. Social implications Life-cycle costs have a significant impact on the financial health of an organization. Using LCCA to make informed decisions about facility design and specifications may contribute to increased financial stability and resources to benefit the organization’s long term goals. Originality/value This study contributes an algorithm instrument for buildings and building systems. The flooring tested with this protocol provides evidence to inform flooring selection based on lowest cost while considering other factors that inform appropriate selection of flooring materials.
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Walker, Matthew B., Steven Salaga, and Haylee Mercado. "Determinants of managerial engagement in environmental responsibility in the public assembly facility sector." Management Decision 54, no. 8 (September 19, 2016): 2084–102. http://dx.doi.org/10.1108/md-04-2016-0242.
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Purpose While cost savings and perceptual benefits have been discussed in the literature as catalysts for promoting environmental responsibility (ER) and green management among public assembly facilities (PAFs), researchers have yet to determine if and how ER in this particular sector differs by facility characteristics. The paper aims to discuss these issues. Design/methodology/approach A quantitative study on ER and green management, which utilized questionnaire data from a sample of PAF managers obtained from the International Association of Venue Managers. Findings Probit modeling results illustrate that implementation of green practices (e.g. general ER, green teams, and retrofitting) differ by ownership and management structure, market size where the facility is located, and facility type. These results are set against a backdrop of managerial strategy that seemingly enabled the effects. Practical implications PAFs are significant physical and social spaces in communities around the world and afford millions of patrons the opportunity to witness many forms of live entertainment. This level of usage, however, requires substantial resource investments in energy, water, waste removal, and other items necessary to maintain a functional, clean, and efficient facility. Given their visible and marquee status in both urban and rural regions, it is not surprising that facility management decisions have been underpinned by ER concerns. The results of this research provide useful information to PAF managers regarding how facility profiles are associated with ER adoption. Originality/value The contribution of this research lies in showing how memetic constraints have seemingly encumbered strategic decision making for ER initiatives, and suggestions for PAF managers are couched in the adoption of smart norms.
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Kim, Jin-Up, Oussama Hadadi, Hyunjoo Kim, and Jonghyeob Kim. "Development of A BIM-Based Maintenance Decision-Making Framework for the Optimization between Energy Efficiency and Investment Costs." Sustainability 10, no. 7 (July 16, 2018): 2480. http://dx.doi.org/10.3390/su10072480.
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Eco-friendly materials have been developed recently that have made it possible to significantly reduce the maintenance cost of buildings when they are appropriately used in renovation. Indeed, it became extremely important to consider the eco-friendly energy-saving effects on design alternatives during renovation. The present study proposes a framework for the optimum maintenance decision-making model for considering eco-friendly energy to help people interested in making decisions concerning renovation; it requires that both the environmental friendliness and economic feasibility of the target building be simultaneously considered. Several studies mainly cover the structural aspects for energy improvements based on innovation and technology. However, energy simulation in existing buildings needs some additional consideration regarding the economic analysis of energy savings and the recovery period of construction costs. A case study was conducted as a research method by utilizing the proposed framework, which aims to: (1) make energy simulations with different basic design assumptions; (2) perform the energy simulations through building information modeling (BIM) technology; and (3) analyze the economic feasibility of the alternatives. As a result, an alternative combination that can save the net maximum energy cost during the life cycle period and invest the lowest renovation costs has been recommended. Furthermore, effective guidelines were proposed on which items the building owner values, depending on his economic investment conditions in decision-making regarding the level of design, through a comprehensive review of the energy savings by design variable. It is expected that the research findings will be utilized in the decision-making process and for conducting further relevant research in future.
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Jelonek, Dorota, Ilona Pawełoszek, Cezary Stępniak, and Tomasz Turek. "The Role of Spatial Decision Support System in Regional Business Spatial Community." Applied Mechanics and Materials 795 (October 2015): 107–14. http://dx.doi.org/10.4028/www.scientific.net/amm.795.107.
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Decision support systems are tools that extend the functionality of management information systems. Similarly, spatial decision support systems (SDSS) enhance the capabilities of geographic information systems (GIS) with analytical modelling capabilities and support processes of spatial decision making. SDSS offer many kinds of spatial analyses, from processing data (as well spatial as other data residing in databases), do intelligent maps and models of different types of phenomena. Regional Busines Spatial Community (RBSC) is the concept of community gathering units responsible for building infrastructure networks and supplying utilities for citizens of a region.The authors try to create the community on the basis of companies and institutions from the territory of the City of Częstochowa. A commonality of all the aforementioned stakeholders is to be the possibility to participate in the shared SDSS with the purpose of planning infrastructure investments on the territory of the city. This paper aims to examine the functionality of accessible GIS and to indicate how they can be enhanced with analytical modeling capabilities for the needs of the considered community.
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Ihekweazu, Chikwe, Paulinus Ossai, Robinson Nnaji, Ugochukwu Osigwe, and Mba Ngozi. "Interoperability of Surveillance Data Collection Tools (District Health Information System 2 and District Vaccine Data Management Tools) in Enugu State, Nigeria, From 2015-2018." Iproceedings 5, no. 1 (October 2, 2019): e15235. http://dx.doi.org/10.2196/15235.
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Background Over the years, Nigeria has used District Vaccine Data Management Tool (DVDMT) for surveillance data collection including routine immunization. In 2012, Nigeria adopted District Health Information Software (DHIS2), a Java driving online real-time tool for data collection. In 2015, Enugu State commenced the use of DHIS2 alongside the traditional DVDMT as surveillance data capturing tools. Objective The objective was to carry out an evaluation of the two surveillance data tools to assess surveillance attributes, interoperability, effect in decision making, and preference of use. Methods We quantitatively and qualitatively assessed surveillance attributes of Enugu State’s DHIS2 and DVDMT from 2015 to 2018 using adapted CDC guidelines (2001). We administered semi-structured questionnaires to all 17 local immunization officers from the 17 local government areas (districts) to assess surveillance attributes. We carried out desk review at all levels, key informants done with 6 purposefully selected stakeholders, and focused group discussion carried out with 6 randomly selected heads of surveillance at local governments areas. We recorded proportions, interoperability, effect in decision making, and preference of use. Results Average completeness of data is 100% in both DHIS2 and DVDMT systems (target 90%). Eligibility is 100% in DHIS2 and 85% in DVDMT (target 80%). Timeliness of reporting is 100% and 80% in DHIS2 and DVDMT, respectively (target 80%). All stakeholders accepted both tools and agreed that they are simple and flexible. In addition to collection of all data recorded by DVDMT, DHIS2 captures vaccine utilization. Data collection and transmission of DVDMT and DHIS2 are carried out by the same surveillance personnel at health facility and local government area levels. Apart from vaccine utilization both tools can complement each other in case of missed data as they record the same thing. All key informants opined that it is double work managing the two tools and also agreed that DHIS2 is better than DVDMT in decision making because it has features for data visualization and real-time reporting. The focused group discussion agreed that both tools are good, although DVDMT is easier to work with as DHIS2 requires computer proficiency of current users alongside hardware management of the Java-enabled phones used in data capture and transmission. However, they also agreed that DHIS2 usage is less time consuming and opined they will prefer to use DHIS2 as the only data capturing tool in Enugu State if proper capacity building is done. Conclusions The DHIS2 and DVDMT surveillance data tools in Enugu State is meeting all its targets based on surveillance attributes, though DHIS2 provides better quality data. There is a good understanding and synergy in operation of the two systems in all levels and intermittently data from both tools can be compared. DHIS2 can enable prompt decision making than DVDMT as data can be assessed and visualized in real time. Surveillance officers prefer the use of DHIS2 as the only surveillance tool in Enugu State, although proficiency is a challenge. We recommended a gradual phase out of DVDMT for data capturing in Enugu State, while capacity building of users for DHIS2 should be addressed.
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Azevedo, Diogo Martins, Ana Marotti, Alexandre Cardoso, Edgard Lamounier, Gerson Flávio M. De Lima, André Luís De Araújo, Claudio Guttler, Ricardo De Oliveira Rocha, and Claudia Bartholomeu. "Development of Bim (Building Information Modeling) Concept Applied to Projects of Substations Integrated With the Geographic Intelligence System (GIS)." WSEAS TRANSACTIONS ON POWER SYSTEMS 16 (January 27, 2021): 1–7. http://dx.doi.org/10.37394/232016.2021.16.1.
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In the context of the Brazilian electrical sector, there are no references regarding the application of BIM (Building Information Modeling) and GIS (Geographic Information System) in construction and maintenance of Electric Power Substations projects. Thus, this work proposes the integration of these technologies, since preview experiences in other engineering fields have shown promising advances that could be useful for the management and maintenance of the electrical power market. By associating these technologies, an accurate mapping of the information related to the assets, arrangements, cabling, bus, electrical components, etc, is obtained. Moreover, for this integration works, it is required to design a three-dimensional geometric database of the electric power substation active com-ponents. Inserting one of the database models into a particular point of the project shall bring constructive, operational, and maintenance information. Thus, by combining BIM and GIS in the modeled families, it is possible to obtain more consistent information during the construction phase. This will provide advantages in decision making, providing resources within the corporate communication, and a better understanding of the environment related to an electrical energy substation. Additionally, the location conditions and the surroundings of the substation would be more precise and pertinent, since the components of the substation will become Geo-referenced. The association between these two platforms allows a more intuitive overview of the project, making them adherent to the planning, design, construction, operation, preventive, and corrective maintenance. So, when applying these tools together the company will obtain results almost immediately since all managing features will be accessed through only one integrated information database. This proposal presents the first results of the integration of BIM and GIS, in the context of a Brazilian electric company - Furnas S/A. Results of the implementation of the solution in the context of Substations of the Company are discussed and show the availability of reducing construction costs, alteration planning, logistics, on-demand of the necessary maintenance, prevention of possible accidents, and possibility of updating information in real-time.
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Shatalova, O. M. "Numerical Implementation of a Fuzzy Model for Evaluating the Effectiveness of Technological Innovations in the Formation of a Portfolio of Projects in an Industrial Enterprise." Intellekt. Sist. Proizv. 16, no. 4 (February 25, 2019): 145. http://dx.doi.org/10.22213/2410-9304-2018-4-145-153.
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A high uncertainty and fuzziness of information in the systems of development and organizations production of technological innovations are forming the need to use adequate management decision-making tools. A key condition for decisions in such systems is, as a rule, the criterion of efficiency. The paper presents the results of the numerical implementation of a methodological approach to evaluating the effectiveness of technological innovations from the standpoint of non-stochastic uncertainty. The approach is based on fuzzy calculations and fuzzy modeling. This approach is aimed at integrating deterministic, stochastic and expert knowledge of the system; it provides an expanded view of the content of the “effectiveness” category itself and the composition of relevant factors, allows you to take into account the restrictions and preferences of decision makers relevant to the system under study. The considered approach is adapted to the specifics of managing technological innovation in an industrial enterprise. The results of the development and numerical implementation of a fuzzy model for evaluating the effectiveness of technological innovations have led to the conclusion that the approach used expands (complements) the composition of the existing methods in this field of knowledge; the numerical value of the efficiency (W) obtained in the fuzzy model can be considered as an additional analytical indicator of information support of the management decision-making process; the significance of this indicator is due to the fact that the indicator W reveals strategically significant prerequisites and provides clarification (justification) of the values of the key technical and economic parameters. The fuzzy W evaluation model allows for combining deterministic and stochastic data with expert estimates and to formalize mental judgments of decision makers using language means of mathematics. Thus, the prerequisites for building an intelligent automated decision-making system in the management of innovative processes and projects in the enterprise are provided.
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Park, Seunghwa, and Inhan Kim. "BIM-Based Quality Control for Safety Issues in the Design and Construction Phases." International Journal of Architectural Research: ArchNet-IJAR 9, no. 3 (November 27, 2015): 111. http://dx.doi.org/10.26687/archnet-ijar.v9i3.881.
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Today’s buildings are getting larger and more complex. As a result, the traditional method of manually checking the design of a building is no longer efficient since such a process is time-consuming and laborious. It is becoming increasingly important to establish and automate processes for checking the quality of buildings. By automatically checking whether buildings satisfy requirements, Building Information Modeling (BIM) allows for rapid decision-making and evaluation. In this context, the work presented here focuses on resolving building safety issues via a proposed BIM-based quality checking process. Through the use case studies, the efficiency and usability of the devised strategy is evaluated. This research can be beneficial in promoting the efficient use of BIM-based communication and collaboration among the project party concerned for improving safety management. In addition, the work presented here has the potential to expand research efforts in BIM-based quality checking processes.
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Mulero-Palencia, Sofía, Sonia Álvarez-Díaz, and Manuel Andrés-Chicote. "Machine Learning for the Improvement of Deep Renovation Building Projects Using As-Built BIM Models." Sustainability 13, no. 12 (June 9, 2021): 6576. http://dx.doi.org/10.3390/su13126576.
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In recent years, new technologies, such as Artificial Intelligence, are emerging to improve decision making based on learning. Their use applied to the Architectural, Engineering and Construction (AEC) sector, together with the increased use of Building Information Modeling (BIM) methodology in all phases of a building’s life cycle, is opening up a wide range of opportunities in the sector. At the same time, the need to reduce CO2 emissions in cities is focusing on the energy renovation of existing buildings, thus tackling one of the main causes of these emissions. This paper shows the potentials, constraints and viable solutions of the use of Machine Learning/Artificial Intelligence approaches at the design stage of deep renovation building projects using As-Built BIM models as input to improve the decision-making process towards the uptake of energy efficiency measures. First, existing databases on buildings pathologies have been studied. Second, a Machine Learning based algorithm has been designed as a prototype diagnosis tool. It determines the critical areas to be solved through deep renovation projects by analysing BIM data according to the Industry Foundation Classes (IFC4) standard and proposing the most convenient renovation alternative (based on a catalogue of Energy Conservation Measures). Finally, the proposed diagnosis tool has been applied to a reference test building for different locations. The comparison shows how significant differences appear in the results depending on the situation of the building and the regulatory requirements to which it must be subjected.
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Mirshokraei, Mehrdad, Carlo Iapige De Gaetani, and Federica Migliaccio. "A Web-Based BIM–AR Quality Management System for Structural Elements." Applied Sciences 9, no. 19 (September 23, 2019): 3984. http://dx.doi.org/10.3390/app9193984.
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This paper investigates quality management (QM) during the execution phase of structural elements by proposing, developing, and testing a complete framework by integrating building information modeling (BIM) and augmented reality (AR) technology. QM during execution is boosted by BIM–AR integration through a dedicated web-based system aimed at reducing the occurrence of omissions and negligence. With such a system, efficiency is improved by allowing the entering of inspection data directly in a shared digital environment, where people involved in QM have permanent access to updated information and inspection results, clearly organized, and entered in real time. The system has been developed in the asp.net framework using C# language where, by generating a web-based checklist and establishing its link to AR, it can enhance the process of information extraction from industry foundation class (IFC) 4D BIM models and the recording of inspection data. A test has been performed on a real case study in Budapest, to assess the effectiveness of the system in the field. Results demonstrate the following benefits brought by such a type of QM system: improved understanding of the design, access to information, and overview of the quality status of the project, leading to reductions in defects and reworking, as well as improved and quicker response and decision-making.