Academic literature on the topic 'Building information modeling; facility management; decision-making'
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Journal articles on the topic "Building information modeling; facility management; decision-making"
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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.
Dissertations / Theses on the topic "Building information modeling; facility management; decision-making"
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Koort, Hannes. "Room for More of Us? : Important Design Features for Informed Decision-Making in BIM-enabled Facility Management." Thesis, Uppsala universitet, Människa-datorinteraktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447217.
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Building Information Modeling (BIM) is becoming imperative across building disciplines to improve communication and workflow from the first blueprint. Maintenance and facility management is however lagging behind in adoption and research of BIM. Utilizing research-through-design, this study explores BIM-enabled facility management and the critical practice of decision-making at the Celsius building in Uppsala. Contextual design and inquiry were applied to identify and suggest important design features that support decisions related to the task of establishing maximum room occupation. Results show that facility managers can make use of fuzzy multicriteria decision-making and expert heuristics to independently reach conclusions. Important design features were found to heavily rely on the existing building models, where context-view filtered to room capacity data in the existing BIM-system effectively supported the users’ assessment of data. The filtered, aggregated information presented in a simplified mobile format was insufficient for decision-making, suggesting that the building model was more important than initially perceived.
Book chapters on the topic "Building information modeling; facility management; decision-making"
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López, Antonio Jesús Guillén, Adolfo Crespo Márquez, Jose A. Sanz, Khairy A. H. Kobbacy, Samir M. Shariff, Etienne Le Page, and Vicente González-Prida. "Asset Management for Buildings within the Framework of Building Information Modeling Development." In Optimum Decision Making in Asset Management, 121–38. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0651-5.ch006.
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Buildings lifecycle management is an area of great interest. Due this, the R&D is being promoting worldwide looking for new effective maintenance tools and methodologies. In this scenario there are two development lines whose convergence can bring great advances in this area: Asset Management (AM) and Building Information Modeling (BIM). BIM models are transforming the way buildings are conceived, designed, constructed and managed. But current use of BIM concentrates on preplanning, design, construction and integrated project delivery of buildings and facilities, rather than maintenance and building operation management. Asset Management tools, including Facilities Management (FM), and application frameworks provide the approach and required elements to get more efficiency and efficacy in the building lifecycle management. This chapter introduces the application of AM for building and how the development of BIM models is the key element to allow its effective implementation.
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Song, Yonghui, Jürgen Bogdahn, Andy Hamilton, and Hongxia Wang. "Integrating BIM with Urban Spatial Applications." In Handbook of Research on Building Information Modeling and Construction Informatics, 363–81. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-928-1.ch016.
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BIM as a developing concept is adding sophisticated data structures to 3D building models. From recent experience, it can be seen that BIM is enabling the sharing and management of building information. However, BIM is a building scale concept; to fully consider and assess the building information, BIM should be put in the larger geospatial information context, because buildings cannot be isolated from the context of their surrounding neighbourhood and city environment. A review of (3D-) GIS tells us that GIS adds an attribute database to geospatial data, and therefore greatly enables geographical analysis. Geo-spatial related decision-making now-a-days can hardly be done without the help of GIS systems. This chapter reviews recent research into integration of geo-spatial information and building information and in particular, it reviews the VEPS project, its scenarios and approaches, achievements and future development. This review shows the benefit of integrating BIM with the urban scale contextual data. More than that, this chapter also discusses the range of stakeholders such as building contractors, estate agents, city management, and public sector that will benefit from the integration of BIM and (3D-) GIS. Finally, there is a discussion of the way forward in the integration of BIM and urban models.
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"Streamlining Business Operations in Civil Construction Using AI." In Advances in Business Information Systems and Analytics, 210–32. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5291-9.ch009.
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The concept of artificial intelligence stems from the approach to empower machines to act independently of their human masters. This has been found to be extremely useful in situations where routine or repetitive actions are required to be taken based on given data patterns for which complex algorithms and decision-making processes are required to be executed. In such cases, AI has been proved to be effective in replacing humans. While instances of AI substituting humans may appear to pose potential threats to jobs, induction of AI in manufacturing processes can reduce instances of accidents owing to human fatigue or otherwise threat to life and limb working in dangerous environments. In this chapter, the authors discuss the role of artificial intelligence in building information modeling and knowledge management. They also explain how AI can be used as a building block for a safer and productive work environment.
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Bag, Surajit. "Identification of Green Procurement Drivers and Their Interrelationship Using Fuzzy TISM and MICMAC Analysis." In Encyclopedia of Information Science and Technology, Fourth Edition, 3086–102. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch270.
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The objective of the current study is to identify the leading green procurement drivers and identify the interrelationships using fuzzy total interpretive structural modeling and MICMAC approach. For the purpose of this study, twenty-five drivers were identified from existing literature which influences green procurement practices and finally refined through experts' opinion. The final fuzzy model consists of fuzzy relationships between one to one criteria. The key drivers which emerged from Fuzzy TISM and MICMAC analyses are Government policy and Regulations, Total Quality Environmental management, Management Support, Management Review, Continuous education of employees, Cross functional team building, Organization Culture, and Green process and Technology. The green procurement model may assist supply chain practitioners in better decision making and successful implementation of green procurement programs.
Conference papers on the topic "Building information modeling; facility management; decision-making"
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Middleton, Bobby D., and Carmen Mendez. "Integrating Safety, Operations, Security, and Safeguards Into the Design of Small Modular Reactors." In ASME 2014 Small Modular Reactors Symposium. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smr2014-3336.
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The existing regulatory structure for nuclear power plants impacts both the design and the operation of the facility [1]. The current structure has been known to be overly conservative in several instances. This overly conservative approach results in operational costs to the facility that decrease the profit margin for nuclear power companies. The current design and build process also results in expensive retrofitting and contributes excess costs to the operations of the facility [1]. The current fleet of nuclear reactors is composed mainly of large light water reactors (LWRs) that can, to some extent, counteract these operational costs by the sheer volume of energy produced. However, the deliberately small size of small modular reactors (SMRs) prevents them from benefitting from this economy of scale. In order to be built and operated economically, SMR vendors must find ways to bring the life cycle costs in line with the economic requirements of nuclear power companies. Sandia National Laboratories has developed a framework that allows vendors and operators to address many of the operational costs during the design and manufacture stages of the SMR life cycle. The framework allows certain operational costs to be addressed in the design stages, thereby decreasing the operational costs, especially those costs associated with staffing and retrofitting. The framework pulls together best practices that have been applied successfully in other industries. Concurrent Engineering (CE) frames the procedural stages, from defining the expectations of the facility deployment, through the identification of regulatory requirements, to the pre-conceptual, conceptual and detailed design stages. A Project Management Organization is critical to the time management and success of implementing CE. The use of Integrated Safety, Operations, Security, and Safeguards (ISOSS) will lead to achieve a more efficient, cost-effective, and reliable plant. The Balance Model is introduced as a tool to document conflicts between functional areas and identify balancing strategies for conflict resolution in the requirements. Life-Cycle Cost Analysis (LCCA) is proposed as a variable for decision making. Facility Lifecycle Management with Building Information Modeling (BIM) is encouraged to support the Build, Activation, Continued Operations and Decommissioning of the facility [1]. To ensure that the deployment of SMR is effective and cost efficient, the ideal time to implement the framework is now, before SMR designs reach the detailed stage. SMRs hold a lot of potential and this framework can help the nuclear industry realize that potential.