Journal articles on the topic 'Asset maintenance'
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Wicaksana, Arif, Harmono Harmono, and Sari Yuniarti. "Pengaruh inventarisasi aset, penggunaan aset, pengamanan dan pemeliharaan aset terhadap optimalisasi aset tetap tanah pada pemerintah Kabupaten Malang." Publisia: Jurnal Ilmu Administrasi Publik 6, no. 1 (April 30, 2021): 1–14. http://dx.doi.org/10.26905/pjiap.v6i1.5514.
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In the era of national transformation and regional autonomy, there have been many breakthroughs in the management of land fixed assets, but many financial problems and land assets have not been implemented optimally, effectively and efficiently in their management. This study was used to analyze the effect of asset management on the optimization of fixed land assets in Malang Regency Government. The independent variables used in this study were asset inventory, asset use, asset security, and maintenance, while the dependent variable used asset utilization and asset optimization with a sample of 62 respondents. This type of research is quantitative using multiple regression analysis and path analysis method. The results showed that there was an indirect effect of asset inventory, asset use, and asset security and maintenance on asset optimization through asset utilization where security and asset maintenance had a significant and positive effect, while asset inventory and asset use had no effect on asset optimization. The direct effect of asset inventory, asset use, asset security, and maintenance on asset optimization shows that asset inventory and asset security have a significant and positive effect on asset optimization, while asset use has no effect on asset optimization. In addition, asset utilization has a significant and positive effect on asset optimization.
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Jayakody, J. A. N. N., M. C. M. Nasvi, D. J. Robert, S. K. Navaratnarajah, L. C. Kurukulasuriya, F. Giustozzi, C. Gunasekara, and S. Setunge. "Development of a Cross-Asset Model for the Maintenance of Road and Water Pipe Assets using AHP Method." Civil Engineering Journal 10, no. 2 (February 1, 2024): 336–61. http://dx.doi.org/10.28991/cej-2024-010-02-01.
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Roads and water pipe assets undergo various deterioration processes due to the high demand for their services. Maintenance of these assets is often planned as individual assets, and the interdependency among different assets is neglected. An integrated framework for cross-asset maintenance is required for optimum utilization of the available funds for asset maintenance. To date, there are very few studies focusing on the use of the analytical hierarchy process (AHP) for cross-asset maintenance of roads and water pipe assets. Therefore, this research aims to develop an integrated fund allocation model for the maintenance of road and water pipe assets. A model was developed using AHP analysis based on expert opinions captured through a questionnaire in order to obtain optimum maintenance fund allocation for the cross-assets, roads, and water pipes. Then, a case study corridor segment with the considered cross-assets was selected, and a trade-off analysis was conducted for the intervention alternatives considering different levels of service (LOS) of the asset elements. The results of the trade-off analysis can be used to identify the optimum intervention alternative that satisfies the budget requirement and results in the maximum benefit. Overall, asset managers can use the approach presented in the present study to develop a cross-asset fund allocation model when multiple assets are involved in maintenance. Doi: 10.28991/CEJ-2024-010-02-01 Full Text: PDF
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Sung, Po Hsun, Jyh Dong Lin, Shun Hsing Chen, Yung Lin Chen, and Andrew Yang. "Study of Utilizing the Asset Management System into Asphalt Pavement Maintenance of Freeway." Advanced Materials Research 723 (August 2013): 893–900. http://dx.doi.org/10.4028/www.scientific.net/amr.723.893.
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Asset management is a method that transferred the assets into cost to management. The main object is that to calculate the value of assets and assess the benefit of investment. When utilized the asset management method on freeway pavement management, it must been founded on assets inventory and historic maintenance. To calculate all the cost of assets could list the value of all the assets. The most important work of asset management was assessing the assets. All the assets were analyzed the survival life of all the assets and find out period of the depreciation in the study. It is 8.9 years that the period between newly construction and first maintenance. It is 4.5 years that the period between maintenances. The assess model was set by the two periods. The results cross by the assess model was that the assets service level was great.
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Shin, Jong-Ho, and Hong-Bae Jun. "On condition based maintenance policy." Journal of Computational Design and Engineering 2, no. 2 (January 7, 2015): 119–27. http://dx.doi.org/10.1016/j.jcde.2014.12.006.
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Abstract In the case of a high-valuable asset, the Operation and Maintenance (O&M) phase requires heavy charges and more efforts than the installation (construction) phase, because it has long usage life and any accident of an asset during this period causes catastrophic damage to an industry. Recently, with the advent of emerging Information Communication Technologies (ICTs), we can get the visibility of asset status information during its usage period. It gives us new challenging issues for improving the efficiency of asset operations. One issue is to implement the Condition-Based Maintenance (CBM) approach that makes a diagnosis of the asset status based on wire or wireless monitored data, predicts the assets abnormality, and executes suitable maintenance actions such as repair and replacement before serious problems happen. In this study, we have addressed several aspects of CBM approach: definition, related international standards, procedure, and techniques with the introduction of some relevant case studies that we have carried out.
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Wahyuning Astuti, Reny, Riswan, and Ragil Bayu Rasul Liyanda. "SIMASET SIMASET PERANGKAT TEKNOLOGI INFORMASI PADA KANTOR KESEHATAN PELABUHAN KELAS III JAMBI." FORTECH (Journal of Information Technology) 5, no. 2 (November 24, 2021): 35–41. http://dx.doi.org/10.53564/fortech.v5i2.729.
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An organization or company certainly has assets to support its operational activities, so it is very important to maintain the assets themselves. Not maintaining assets and asset data can be an important problem for the organization or company. This asset maintenance system aims to facilitate the maintenance of asset data, especially at the Jambi Class III Port Health Office. The Jambi Class III Health Office is a Technical Implementation Unit within the Ministry of Health which is under and responsible to the Directorate General of Disease Prevention and Control. Asset maintenance in the office still uses the manual method, namely the person in charge of the room comes directly to make a request for repairs, making it difficult for officers to maintain these assets. To overcome this problem, we need a form of asset maintenance system that can assist in the repair request process. Making this application is done by collecting data, system planning, system analysis, system design and database. The database used is MySQL. The input requirements for the Information Technology Equipment Asset Maintenance System are asset data, room data, and work area data. The process requirements needed are: Login process, request process, and input, update, and delete processes. The output data produced is in the form of information that will be attached, including: the request report is approved, and the request data report is rejected. The purpose of making this thesis is the creation of a Web-Based Information Technology Device Asset Maintenance System. With the existence of a new system that has been designed and created by researchers, it can help facilitate the parties involved in maintaining information technology equipment assets.
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Santos, Pedro, Matilde Pato, Nuno Datia, José Sobral, Noel Leitão, Manuel Ramos Ferreira, and Nuno Gomes. "Recommending Words Using a Bayesian Network." Electronics 12, no. 10 (May 12, 2023): 2218. http://dx.doi.org/10.3390/electronics12102218.
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Asset management involves the coordinated activities of an organisation to derive value from assets, which may include physical assets. It encompasses activities related to design, construction, installation, operation, maintenance, renewal, and asset disposal. Asset management ensures the coordination of all activities, resources, and data related to physical assets. Recording and monitoring all maintenance activities is a key part of asset management, often done using work orders (WOs). Technicians typically create WOs using “free text”, which can result in missing or ungrammatical words, making it difficult to identify trends and analyse information. To standardise the terminology used for the same asset maintenance operation, this paper proposes a method that suggests words to technicians as they complete WOs. The word suggestion algorithm is based on past maintenance records, and a Bayesian network-based recommender system adapts to present needs verified by technicians using implicit user feedback. Implementing this system aims to normalise the terms used by technicians when filling in a WO. The corpus for this work comes from asset management records collected in a health facility in Portugal operated by a private company.
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Mulyana, Dadan, and Maulana Sidiq. "Perancangan Desain Sistem Basis Data Pengelolaan Aset." Jurnal Sistem Informasi Galuh 1, no. 1 (January 11, 2023): 15–20. http://dx.doi.org/10.25157/jsig.v1i1.2917.
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Galuh University is a private university that has 7 faculties, 1 Postgraduate Program, Institute for Research and Community Service (LPPM), Internal Quality Assurance Agency (BPMI), Libraries and Cooperation Offices. Of the many places in Galuh University, it becomes a problem that must be faced in asset management. The management of these assets still relies on the role of humans who cannot collect a lot of asset data. If the person forgets it will be a problem especially regarding the type of asset that makes the payment and if it is late, it will be subject to sanctions or fines. This research is to make it easier to calculate the number of assets and record the maintenance of these assets. This asset management application will be web-based using the PHP programming language and MySQL as the database. The results of this study are in the form of a database design which will later be implemented on a website that can be accessed by asset managers who will record asset maintenance and also as a reminder of asset maintenance at Galuh University
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John A, Shibu. "Asset Inspection Management System as a Reliable Inspection/ Monitoring Tool." Materials Evaluation 78, no. 12 (December 1, 2020): 1276–85. http://dx.doi.org/10.32548/2020.me-04125.
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Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).
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He, Guo Xiang. "Design and Development of the Enterprise Asset Management System Based on EAM." Applied Mechanics and Materials 416-417 (September 2013): 2066–71. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.2066.
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The paper describe the EAM function by proposing the main modules and major business processes, abstracting the main business processes.it implements preventive maintenance of assets, assets track, the whole process of life-cycle management based on the equipment,asset account and treat management maintenance as the core, the submission, approval,implementation of work order as main line. EAM can effectively improve the efficiency of equipment maintenance, reduce maintenance and repair costs, improve asset reliability and value.
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Masya, Fajar, Joko Triloka, and Hary Sabita. "ASSET MANAGEMENT SYSTEM IN HIGHER EDUCATION INSTITUTION USING TDWI BIG DATA MATURITY MODEL." International Research Journal of Computer Science 9, no. 7 (July 31, 2022): 141–45. http://dx.doi.org/10.26562/irjcs.2022.v0907.001.
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Asset management is the process of recording, collecting data, reporting and documenting assets at a specific time based on existing provisions, proper asset management can support operational activities especially in the maintenance, repair, and procurement of assets for the organization. This study aims to addition to acquiring additional assets data and calculating devaluation of assets, including tracking their location, collating data regarding their operation and maintenance status, with the aim of improving the overall utilization of the assets The methodology used in this research is TDWI Big Data Maturity, which can accommodate changes during the system design process, by taking samples based on the business process of asset management in one of the private institution. This study produced a web-based asset management information system that can assist in managing and tracking asset data and logistic items.
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Martinetti, Alberto, Erik Jan Schakel, and Leo A. M. van Dongen. "Flying asset." Journal of Quality in Maintenance Engineering 24, no. 2 (May 14, 2018): 152–69. http://dx.doi.org/10.1108/jqme-12-2016-0073.
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Purpose The purpose of this paper is to create a framework to provide a scalable maintenance program for unmanned aircraft systems (UAS) in order to choose the most suitable and feasible maintenance strategy in terms of reliability. Design/methodology/approach The paper opted for a reliability-centered maintenance-based approach to develop the framework using a UAS as the starting point of the research. A linear and user-friendly design of the methodology based on a Boolean flowchart was chosen in order to lead the analyst through the process avoiding as much as possible subjectivity decision-making issues. Finally, the framework was, on the component level, performed by a UAS company gathering feedback on its applicability. Findings An agile and structured decision-making framework for developing scalable maintenance program of UAS is provided. The proposed solution gives the opportunity to tailor the maintenance strategy to the technical characteristics, considering not only the single component but also situations and conditions in which the machine will operate. Research limitations/implications Because of the chosen research approach, the framework is potentially applicable to every UAS. A first trial of the method was run on a multirotor vehicle equipped with eight electric brushless motors. Further studies focused on different UAS will be mandatory in order to obtain comparable and robust findings and a reliable approach. Practical implications This study offers a different scheme to elaborate a specific maintenance solution related to the characteristics of the system. It strives to remedy the drawbacks of the traditional approach for a manned aircraft not completely suitable for systems with such different functions, features and tasks. The authors believe that the method presented in this paper will provide a new selection tool for choosing maintenance actions based on the features of the UAS. Originality/value This paper provides a new and usable solution to include the maintenance actions in the management of pioneering products. In spite of the maintenance program representing an essential aspect to provide reliable assets, frameworks to create programs and to help manufacturers and users are still difficult to find or to apply to different UAS. This gap enhances the misunderstanding that the maintenance is not required or essential for the unmanned aircrafts management.
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Jung, Chan-Mook, Papia Ray, and Surender Reddy Salkuti. "Asset management and maintenance: a smart grid perspective." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (October 1, 2019): 3391. http://dx.doi.org/10.11591/ijece.v9i5.pp3391-3398.
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<p>This paper presents the importance, issues and challenges related to Smart Grid. It also evaluates various approaches for Smart Grid planning and operation. It discusses tools for asset management and their applicability to the next generation grid. Aging assets, uncertainty in load demand profile and renewable energy resources, and demand management create a challenge for the optimal operation and maintenance of electrical grid. This paper addresses the challenges and opportunities to improve transmission and distribution systems asset maintenance. This paper also presents the asset replacement alternatives. This paper also presents the cost-benefit analysis of asset management using the information/real time data from the utility company. This paper will serve a guide for doing the asset management to the electrification process, investment and recovery to sustain reliable and efficient power delivery.</p>
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A. Alabdulkarim, Abdullah, Peter D. Ball, and Ashutosh Tiwari. "Influence of resources on maintenance operations with different asset monitoring levels." Business Process Management Journal 20, no. 2 (April 1, 2014): 195–212. http://dx.doi.org/10.1108/bpmj-12-2012-0135.
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Purpose – The demand for contracts on assets availability has increased. Recently published papers show that the use of asset health monitoring technologies is being encouraged to improve the asset performance. This is based on reason rather than analysis. This paper aims to understand and assess the effect of different types of business processes for maintenance resource levels on the behaviour of the maintenance operations and asset availability located at different customer locations using different asset monitoring levels. Design/methodology/approach – A discrete event simulation (DES) model was developed to mimic complex maintenance operations with different monitoring levels (reactive, diagnostics, and prognostics). The model was created to understand and assess the influence of resources (labour and spare parts) on a particular maintenance operation. The model was created to represent different levels of asset monitoring to be applied in a case study. Subsequently, different levels of spare parts (ranging from deficient inventory to a plentiful spares inventory) and labour were applied to show the effects of those resources on the asset availability. Findings – This research has found that the DES was able to discern different processes for asset monitoring levels in complex maintenance operations. It also provided numerical evidence about applying such asset monitoring levels and proved that the higher asset monitoring level does not always guarantee higher asset availability. Practical implications – The developed model is a unique model that can provide the decision makers of maintenance operations with numerical evidence to select an appropriate asset monitoring level based on their particular maintenance operations. Originality/value – A novel DES model was developed to support maintenance operations decision makers in selecting the appropriate asset monitoring level for their particular operations. This unique approach provides numerical evidence rather than reasoning, and also proves that the higher asset monitoring level does not always guarantee higher asset availability.
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Rasdorf, William, and Ali Almalki. "Highway Asset Deterioration Rates." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 12 (June 19, 2018): 179–86. http://dx.doi.org/10.1177/0361198118781136.
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This paper is about highway asset deterioration rates. Typically, these are difficult to determine. However, using a data collection method adopted in North Carolina (and the resulting data obtained over a 5-year timespan), an approach was developed to determine accurate deterioration rates for several highway assets. This was not previously done, and thus, deterioration was not included as a factor in estimating future maintenance needs for these assets despite the ready availability of the necessary data. This paper focuses on unpaved shoulders and outlines how their deterioration rates were obtained and how such rates can also be obtained for other assets. The resulting deterioration rates are presented and compared over various road systems and geographical regions. With this new knowledge, deterioration rates can now be included in life cycle asset analysis, resulting in more accurate condition predictions and maintenance budgeting. The paper focuses on highway assets and does not address bridge or pavement maintenance.
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Hsiao, David W., Amy J. C. Trappey, Lin Ma, Yat Chih Fan, and Yen Chieh Mao. "Agent-Based Integrated and Collaborative Engineering Asset Management." Materials Science Forum 594 (August 2008): 481–93. http://dx.doi.org/10.4028/www.scientific.net/msf.594.481.
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Engineering assets are fundamentally important to enterprises. Thus, making the best use of engineering assets attracts equipment and system engineers’ attention. The state-of-the-art researches contribute to asset condition monitoring, asset symptom diagnosis, asset health prognosis, and the integration of above knowledge. However, they still lack the combination with enterprise resources to determine the best maintenance/renewal time for the optimization of total enterprise benefits. Consequently, this paper proposes the integrated architectural framework, activity and process models of a multi-agent system called agent-based integrated engineering asset management (AIEAM) based on agent techniques to build collaborative environment for asset manager, diagnosis expert, prognosis expert and enterprise resource manager. An engineering asset management case (for repair and maintenance of automatic parking tower) applying the proposed architecture and models is depicted in the paper.
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Prayogo, Tri, Sri Wahyuni, and Muhammad Iqbal. "A Study of Irrigation Performance Index and Real Cost Value of Irrigation Operations and Maintenance in Surak Irrigation Area." Civil and Environmental Science 004, no. 01 (April 1, 2021): 030–42. http://dx.doi.org/10.21776/ub.civense.2021.00401.4.
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Irrigation Asset Management is required to maintain the value of irrigation asset function and condition. Surak Irrigation Area is located in Lawang Sub-District, Malang Regency. After resurveying in 2020, 21 points of damage were found in Surak Irrigation Area. Irrigation performance index was found to be 77.56% (moderate condition) for which the physical infrastructure aspect is 39.1%, the water availability aspect is 5.4%, the planting index aspect is 4.4%, the supporting facilities for operation and management aspect is 7.8%, the organizational and personnel aspect is 10.8%, the documentation aspect is 3.8%, and the Water User Association aspect is 6.3%. Priority calculation utilized the ranking method, which ranks asset values from the lowest to the highest. The result was that 24 assets are in moderate condition, 43 assets are in good condition, and 146 are in very good condition. The real cost value of irrigation operations and maintenance was calculated to be IDR 1,561,741,648, with IDR 208,506,890 for operating costs and IDR 1,353,234,758 for maintenance costs. For rehabilitation, it was found that 24 assets need regular maintenance and repair, 24 assets need regular maintenance, and 146 assets need routine maintenance
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Haider, Abrar, and Andy Koronios. "E-Prognostics: A Step towards E-Maintenance of Engineering Assets." Journal of Theoretical and Applied Electronic Commerce Research 1, no. 1 (April 1, 2006): 42–55. http://dx.doi.org/10.3390/jtaer1010005.
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Reliability of manufacturing or production processes is heavily dependent upon the flawless operation of asset plant and equipment utilised in the processes. Nevertheless, continuous and seamless flow of information, aimed at real time access to process stakeholders provides the foundation for effective management of these assets. An essential requirement in this regard is the continuous availability of the condition monitoring information and its analyses in order to predict failure conditions as soon as the asset starts deviating away from its standard operational behaviour. This paper presents an integrated approach for prognostics based on radio frequency identification (RFID) technology. It presents an architecture aimed at introducing information processing capabilities at the asset level, thereby equipping the asset to be proactive in identifying its maintenance requirements wirelessly rather than relying on human interaction to examine the asset for irregularities.
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Falato, Antonio. "Happiness Maintenance and Asset Prices." Finance and Economics Discussion Series 2008, no. 19 (January 2008): 1–52. http://dx.doi.org/10.17016/feds.2008.19.
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Falato, Antonio. "Happiness maintenance and asset prices." Journal of Economic Dynamics and Control 33, no. 6 (June 2009): 1247–62. http://dx.doi.org/10.1016/j.jedc.2008.09.007.
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Kayitare Sam, Gikongo. "The Impact of Asset Management on Company’s Operational Performance A Case of Horizon Construction Ltd." International Journal of Scientific Research and Management 9, no. 10 (October 21, 2021): 2465–75. http://dx.doi.org/10.18535/ijsrm/v9i10.em06.
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The efficiency of asset management for various reasons has been the focus for companies, Managers and investors doing construction businesses. The main objective of this research is to ascertain the effect of asset management practices on operational performance within Horizon Construction Ltd. To accomplish the main objective, three specific objectives were formulated. These include; to analyze the effect of standards compliance operational performance within Horizon Construction Ltd; to examine the effect of assets maintenance on operational performance within Horizon Construction Ltd and to assess the effect of budget allocation of funds on operational performance within Horizon Construction Ltd. The related theories including the resource based theory and the contingency theory, were used and analyzed. The population of the research are 200 participants and sample size is 66 respondents. The research tools for data collection are questionnaire, interview and documentation. The findings indicated that each unit of compliance with standards do not significantly influence each unit of operational performance in Horizon Construction Ltd. There is increase in each unit of operational performance when the unit of budget allocation of funds increases at 55.7% in Horizon Construction Ltd. There is an increase in each unit of operation performance when the unit of assets maintenance increases at 30.7% in Horizon Construction Ltd. Budget allocation of funds affects operational performance more than assets maintenance in the same perspective compliance with standards in asset management is on the third priority to affect operational performance in Horizon Construction Ltd. The results indicated that there is a positive auto-correlation between asset management (assets maintenance, compliance with standards, budget allocation of funds) and operational performance in Horizon Construction Ltd. This means that asset management can be associated with operational performance in Horizon Construction Ltd. There is a positive strong correlation between asset management and operational performance (R=0.993). The study concludes also that asset management (compliance with standards; assets maintenance and budget allocation of funds) had positive and significant effect cost efficiency in Horizon Construction Ltd. This means that as much as asset management is taught to the employees, there was an improvement on operational performance that will results in cost effective use of resources in Horizon Construction Ltd. This indicates that once employees are integrated in asset management system they will have accountability that will contribute to operational performance toward the achievement of the set goals within horizon construction Ltd.
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Cannarile, Francesco, Michele Compare, Francesco Di Maio, and Enrico Zio. "A clustering approach for mining reliability big data for asset management." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 2 (March 28, 2018): 140–50. http://dx.doi.org/10.1177/1748006x17716344.
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Big data from very large fleets of assets challenge the asset management, as the number of maintenance strategies to optimize and administrate may become very large. To address this issue, we exploit a clustering approach that identifies a small number of sets of assets with similar reliability behaviors. This enables addressing the maintenance strategy optimization issue once for all the assets belonging to the same cluster and, thus, introduces a strong simplification in the asset management. However, the clustering approach may lead to additional maintenance costs, due to the loss of refinement in the cluster reliability model. For this, we propose a cost model to support asset managers in trading off the simplification brought by the cluster-based approach against the related extra costs. The proposed approach is applied to a real case study concerning a set of more than 30,000 switch point machines.
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Urrea-Mallebrera, Mario, Luis Altarejos-García, Juan García-Bermejo, and Bartolomé Collado-López. "Condition Assessment of Water Infrastructures: Application to Segura River Basin (Spain)." Water 11, no. 6 (June 4, 2019): 1169. http://dx.doi.org/10.3390/w11061169.
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The paper deals with the condition assessment of water management infrastructures such as storage facilities, water mains and water distribution facilities. The objective is to develop a methodology able to provide a fast, simple assessment of present asset condition, that can also be used for predicting future conditions under different investment scenarios. The authors investigate the use of different methodologies to assess condition with focus on simple, indirect condition indices based on maintenance records, such as Infrastructure Value Index (IVI) and Asset Sustainability Index (ASI). The novelty of the approach presented is the development of a methodology that combines an asset inventory together with maintenance data, that can be integrated hierarchically, delivering an assessment of condition of elements, assets and groups of assets in a bottom-up fashion. The methodology has been applied to a group of water management infrastructures of the Segura River Basin in Spain. The main conclusion is that the proposed methodology allows to assess assets’ sustainability based upon past and current trends in operation and maintenance budgets, providing a baseline for planning future maintenance actions.
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Mahmoodian, Mojtaba, Farham Shahrivar, and Chunqing Li. "Maintenance Prioritisation of Irrigation Infrastructure Using a Multi-Criteria Decision-Making Methodology under a Fuzzy Environment." Sustainability 14, no. 22 (November 9, 2022): 14791. http://dx.doi.org/10.3390/su142214791.
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The aging infrastructure and rising demand in the irrigation industry as a result of population growth have increased maintenance works in recent years. The most efficient asset maintenance practice is proactive. However, while a limited budget and an increase in aging infrastructure has made proactive asset maintenance challenging, customers still expect quality service, and contemporary challenges such as climate change and the competitive market further add to the existing pressure on asset owners. In this context, the present work has the primary objective of developing a novel, accurate, efficient and straightforward methodology for measuring assessment criteria weights and using them to prioritise assets for maintenance. For this aim, fuzzy multi-criteria decision-making (MCDM) methods are developed for the optimisation of asset maintenance prioritisation. Using objective and subjective data, the proposed method will be utilised to prioritise six irrigation channels in Northern Victoria, Australia, for maintenance. To verify the efficiency and accuracy of the developed MCDM method, the prioritised channels are validated by comparing against their existing physical condition. Results prove the ability of the proposed method in distinguishing and taking into account the differences between the channels (in terms of their size, physical condition, financial impacts, etc.) in prioritisation for maintenance. This study will also provide suggestions to improve the existing asset maintenance prioritisation methods in practice
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Nasir, A. A. M., S. Azri, U. Ujang, and Z. Majid. "CONCEPTUAL MODEL OF 3D ASSET MANAGEMENT BASED ON MYSPATA TO SUPPORT SMART CITY APPLICATION IN MALAYSIA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-4/W3-2020 (November 23, 2020): 313–22. http://dx.doi.org/10.5194/isprs-archives-xliv-4-w3-2020-313-2020.
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Abstract. Urbanization is the access to modernization and development around the world. Nowadays, with the current technology development, smart cities are seen as a new approach in urban management and development. 3D asset management is one of the components to support the idea of smart city. 3D asset management is important to assist the monitoring and maintenance of asset in smart city by enabling visualization of 3D models, locating and query in real-time based. In Malaysia, the government is looking seriously at the issues of asset management and maintenance. This is happened because asset management in present day is already moving towards the revolution of smart city but still considered as time consuming and open to human errors as the asset managers or authorities still considering on paper-dependent and manual inspection practise. In the past few years, Malaysia has developing an electronic-based asset management, MySPATA that is made prior to the inefficiency on the asset management system. MySPATA has been introduced as electronic based asset management solution for immovable assets that belong to various department and ministries. However, the creation of MySPATA is considered as bland and time-consuming as its application only storing and displaying asset information. Thus, the implementation of 3D asset management is required for a better and effective management. In this paper, we proposed the conceptual model of 3D asset management by incorporating with the new CityGML standard. The proposed 3D asset management is based on MySPATA module. CityGML plays an important role in demonstrating the 3D asset management for modelling, string and exchanging city models in the international standard. So, the 3D asset management is developed based on MySPATA module that integrated with new CityGML concept. Therefore, with this new approach and concept, the managing of assets will lead for better management and maintenance.
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Maulana, Angga Tri, and Leonardo Gunawan. "Optimization of Railway Infrastructure Asset – A Review." Jurnal Perkeretaapian Indonesia (Indonesian Railway Journal) 7, no. 2 (October 31, 2023): 11–26. http://dx.doi.org/10.37367/jpi.v7i2.285.
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Railway infrastructure assets are key components in the railway transportation system. Optimal asset management is essential to improve the efficiency and productivity of the railway system, as well as help prevent unnecessary costs in the asset life cycle. Reliability, Availability, Maintainability, and Safety (RAMS) and Life Cycle Cost (LCC) methods can be used in managing railway infrastructure assets. RAMS is a method used to assess the performance of high-complexity systems such as rail infrastructure systems. In contrast, LCC is used to evaluate the overall cost of a system or asset over the life cycle. Integrating RAMS and LCC concepts can help plan railways' design, operation, and maintenance. This integration is very flexible as it can be done from the life cycle's design, operation, and maintenance stages. Research shows that using the integration of RAMS and LCC can lead to better strategic decisions in the life cycle of a railway. In selecting assets to support design and maintenance, for example, there are two high-speed rail double-track alternatives of ballasted and ballastless track, with results showing that ballastless track has higher RAMS performance and lower maintenance cost but higher construction costs, so ballasted track solutions are preferred for short-term construction and the ballastless track is preferred for long-term.
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Seneviratne, Dammika, Lorenzo Ciani, Marcantonio Catelani, and Diego Galar. "Smart maintenance and inspection of linear assets: An Industry 4.0 approach." ACTA IMEKO 7, no. 1 (April 1, 2018): 50. http://dx.doi.org/10.21014/acta_imeko.v7i1.519.
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<p class="Abstract">Linear assets have linear properties, for instance, similar underlying geometry and characteristics, over a distance. They show specific patterns of continuous inherent deteriorations and failures. Therefore, remedial inspection and maintenance actions will be similar along the length of a linear asset, but because as the asset is distributed over a large area, the execution costs are greater.</p><p class="Abstract">Autonomous robots, for instance, unmanned aerial vehicles, pipe inspection gauges, and remotely operated vehicles, are used in different industrial settings in an ad-hoc manner for inspection and maintenance. Autonomous robots can be programmed for repetitive and specific tasks; this is useful for the inspection and maintenance of linear assets.</p>This paper reviews the challenges of maintaining the linear assets, focusing on inspections. It also provides a conceptual framework for the use of autonomous inspection and maintenance practices for linear assets to reduce maintenance costs, human involvement, etc., whilst improving the availability of linear assets by effective use of autonomous robots and data from different sources.
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Moretti, Nicola, and Fulvio Re Cecconi. "A Cross-Domain Decision Support System to Optimize Building Maintenance." Buildings 9, no. 7 (July 4, 2019): 161. http://dx.doi.org/10.3390/buildings9070161.
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Operations and maintenance optimization are primary issues in Facility Management (FM). Moreover, the increased complexity of the digitized assets leads Facility Managers to the adoption of interdisciplinary metrics that are able to measure the peculiar dynamics of the asset-service system. The aim of this research concerns the development of a cross-domain Decision Support System (DSS) for maintenance optimization. The algorithm underpinning the DSS enables the maintenance optimization through a wiser allocation of economic resources. Therefore, the primary metric encompassed in the DSS is a revised version of the Facility Condition Index (FCI). This metric is combined with an index measuring the service life of the assets, one measuring the preference of the owner and another measuring the criticality of each component in the asset. The four indexes are combined to obtain a Maintenance Priority Index (MPI) that can be employed for maintenance budget allocation. The robustness of the DSS has been tested on an office building in Italy and provided good results. Despite the proposed algorithm could be included in a wider Asset Management system employing other metrics (e.g., financial), a good reliability in the measurement of cross-domain performance of buildings has been observed.
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Luthfi Utama, Darin, Firman Syarif, and Abdhy Aulia Adnans. "Factors Affecting the Budget of SKPD Maintenance at the Government of Medan City." International Journal of Research and Review 10, no. 1 (January 10, 2023): 210–18. http://dx.doi.org/10.52403/ijrr.20230123.
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The purpose of this study was to analyze and test the effect of the realization of capital expenditure, fixed asset book value, and the realization of maintenance expenditure on the SKPD maintenance budget in the City Government of Medan. This type of research is causal research. The population in this study were 34 SKPD within the Medan City Government. The method of data collection is done by documentation techniques using secondary data. The sampling method uses a saturated sampling technique (census) where all population members are used as research samples. Hypothesis testing using multiple linear regression analysis. The results of this study indicate that simultaneously the realization of capital expenditure, fixed asset book value, and realization of maintenance expenditure have a significant effect on the Maintenance Budget. Partially, the variable book value of fixed assets and the realization of maintenance expenditure significantly positively affect the Maintenance Budget. In contrast, capital expenditure does not affect the Maintenance Budget. Keywords: Realization of Capital Expenditure, Fixed Assets Book Value, Realization of Maintenance Expenditure, Maintenance Budget.
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Sepe, Marzia, Antonino Graziano, Maciej Badora, Alessandro Di Stazio, Luca Bellani, Michele Compare, and Enrico Zio. "A physics-informed machine learning framework for predictive maintenance applied to turbomachinery assets." Journal of the Global Power and Propulsion Society, May (May 25, 2021): 1–15. http://dx.doi.org/10.33737/jgpps/134845.
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The paper presents an overview of Baker Hughes digital framework for a predictive maintenance service boosted by Machine Learning and asset knowledge, applied to turbomachinery assets. Optimization of the maintenance scenario is performed through a risk model that assesses online health status and probability of failure, by detecting functional anomalies and aging phenomena and evaluating their impact on asset serviceability. Turbomachinery domain knowledge is used to create physics-based models, to configure a severity assessment layer and to properly map maintenance actions to anomaly types. The implemented analytics framework is able also to forecast engine behaviour over the future in order to optimize asset operation and maintenance, minimizing downtime and residual risk. Predictive capabilities are optimized thanks to the hybrid approach, where physics-based knowledge empowers long term prediction accuracy while data-driven analytics ensure fast-events prognostics. Accuracy of the hybrid approach is a differentiator for maintenance optimization, allowing activities to be planned properly and in early advance with respect to outage execution.
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Zhang, Haoyuan, and D. William R. Marsh. "Generic Bayesian network models for making maintenance decisions from available data and expert knowledge." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 5 (October 2018): 505–23. http://dx.doi.org/10.1177/1748006x17742765.
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To maximise asset reliability cost-effectively, maintenance should be scheduled based on the likely deterioration of an asset. Various statistical models have been proposed for predicting this, but they have important practical limitations. We present a Bayesian network model that can be used for maintenance decision support to overcome these limitations. The model extends an existing statistical model of asset deterioration, but shows how (1) data on the condition of assets available from their periodic inspection can be used, (2) failure data from related groups of asset can be combined using judgement from experts and (3) expert knowledge of the deterioration’s causes can be combined with statistical data to adjust predictions. A case study of bridges on the rail network in Great Britain (GB) is presented, showing how the model could be used for the maintenance decision problem, given typical data likely to be available in practice.
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Arthur, S., and R. Burkhard. "Prioritising sewerage maintenance using inferred sewer age: a case study for Edinburgh." Water Science and Technology 61, no. 9 (May 1, 2010): 2417–24. http://dx.doi.org/10.2166/wst.2010.176.
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The reported research project focuses on using a database which contains details of customer contacts and CCTV data for a key Scottish catchment to construct a GIS based sewer condition model. Given the nature of the asset registry, a key research challenge was estimating the age of individual lengths of pipe. Within this context, asset age was inferred using the estimated age of surface developments—this involved overlaying the network in a GIS with historical digital maps. The paper illustrates that inferred asset age can reliably be used to highlight assets which are more likely to fail.
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Salkuti, Surender Reddy. "Overview and Tools of Asset Management in Renewable Energy Based Smart Grid." International Journal of Engineering & Technology 7, no. 2.18 (June 1, 2018): 22. http://dx.doi.org/10.14419/ijet.v7i2.27.13011.
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This paper presents the importance, issues and challenges related to Smart Grid. It also evaluates various approaches for Smart Grid planning and operation. It discusses tools for asset management and their applicability to the next generation grid. The proper asset management reduces the risk of equipment failure, extends the equipment life and minimizes the occurrence of unplanned outages. Aging assets, uncertainty in load demand profile and renewable energy resources, and demand management create a challenge for the optimal operation and maintenance of electrical grid. Frequent condition assessment with asset audit enables a comprehensive assessment of the asset in question and includes objective and transparent asset condition information recommendations for the improved environmental sustainability. This paper addresses the challenges and opportunities to improve transmission and distribution systems asset maintenance. This paper also presents the asset replacement alternatives. It presents the cost-benefit analysis of asset management using the information/real time data from the utility company. This paper will serve a guide for doing the asset management to the electrification process, investment and recovery to sustain reliable and efficient power delivery.
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SABILA, DANDY ALFIAN, MULYADI KOTO, and EVANDA CATUR SAPUTRA. "Optimizing Power Plant Availability and Reliability Excellence through End-to-End Asset Healthiness Monitoring Dashboard." Jurnal Energi dan Ketenagalistrikan 1, no. 2 (December 21, 2023): 166–73. http://dx.doi.org/10.33322/juke.v1i2.44.
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PT Indonesia Power Semarang PGU, a sub-company of PT PLN that Operating power plants with a total capacity of 1,409 MW, has a way to manage assets using a web-based asset management which based on ISO 55001:2014. Our asset management’s pillars such as Work, Planning, and Control (WPC), Supply Chain Management (SCM), and Reliability should be incorporated by risk management to make decision easier. The system is called the end-to-end asset healthiness dashboard. Prior to the implementation of this system, there were increases in the backlog of Work Orders (WO) due to delays in receiving materials (WMATL). From the WO backlog, there were 45.47% WMATL WO in 2018 and 78.47% in 2020. Real-time asset wellness, follow-up tasks related to asset wellness, and Asset Criticality Ranking (ACR) are displayed on the dashboard. When WPC and SCM are integrated as good as possible, ACR selects the assets’s follow-up task related to asset wellness, maintenance is completed quickly and when needed, and the SCM process is accurately linked to maintenance execution and listed in the 52-week planning. By keeping our power plants availability, this condition also makes it easier to maintain the highest priority assets first. In 2021, it successfully reduces WMATL WO by 14.65%. Ultimately, our assets are effectively managed, consistently meeting the reliable electric power needs of our consumers.
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Nasir, Amalin A’ishah Mohd, Suhaibah Azri, and Uznir Ujang. "Asset Management in Malaysia: Current Status." IOP Conference Series: Earth and Environmental Science 1064, no. 1 (July 1, 2022): 012035. http://dx.doi.org/10.1088/1755-1315/1064/1/012035.
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Abstract Asset management is a rapidly growing practice in response to changes in urban development and becoming one of the important practices in Malaysia. As a result, the Malaysian government has raised awareness of asset management to manage and maintain government assets. Thus, the Malaysian government has established MySPATA, a fixed asset management system used by all government ministries to help agencies standardize, manage, and monitor fixed assets. The four asset management documents used in MySPATA are the Government Asset Management Policy (DPAK), Government Comprehensive Asset Management Manual (MPAM), Government Immovable Asset Management Procedures (TPATA), and Immovable Asset Management System. Asset management is concerned mainly with operating assets in Malaysia, including their management, monitoring, maintenance, and disposal. Government agencies are charged with supervising governments and enabling the delivery of public services. Thus, asset management policies and processes are critical for delivering and assisting in effective asset management. Asset management must be effective and efficient to ensure that the assets provided can be handled and utilized for the intended purpose. This study examines Malaysia’s current asset management practices and identifies the advantages and disadvantages of the current approach.
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Suhendar, Heri, Joko Iskandar, Dede Kurniadi, and Yosep Septiana. "ASSET MANAGEMENT SYSTEM DESIGN OF VILLAGE BASED ON GEOGRAPHIC INFORMATION SYSTEM." Jurnal Teknik Informatika (Jutif) 3, no. 4 (August 20, 2022): 815–19. http://dx.doi.org/10.20884/1.jutif.2022.3.4.299.
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Management of an asset by the government is a process that starts from planning to asset inventorying that have been pre-existing or obtained from legitimate assistance so that they can managed appropriately and beneficially for the community. For the government, especially in village regions, management of assets is very important, so that both government apparatus and village community get complete, accurate and real-time information about the assets owned by the village government so that the information can be used for activities of village government and communities optimally. The goal of this research is to design and build an asset management system based on geographic information system (GIS) for government in the village. The GIS-based asset management design system uses a waterfall-model approach with five stages, namely: 1) Analysis, 2) Design, 3) Implementation, 4) Integration Testing, and 5) Maintenance. This asset management application is built with web-based technology using the Leaflet framework that supports Web Map Service (WMS) layers, GeoJSON data, vectors and tile layers, while the database in this application uses MySQL. The results of this GIS-based asset management system design research can be used to store, collect, repair, process, control and monitoring assets so that asset management for activities that benefit the community can be optimally improved. For the maintenance and utilization of asset management applications, training is carried out for operators and supervisors, as well as system support personnel.
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Aryani, Diah, Muhamad Arif Nurdin, and Pandi Baskara. "SISTEM INFORMASI PENGELOLAAN ASET KENDARAAN BERMOTOR PADA STMIK RAHARJA TANGERANG." Journal CERITA 3, no. 1 (February 1, 2017): 75–84. http://dx.doi.org/10.33050/cerita.v3i1.623.
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The development of technology is currently growing rapidly and has been influential in the organization's activities to obtain data and information quickly. So the use of computers is essential in expediting and simplifying the process of data management to achieve the goal. In Higher Education Prog asset management reporting processes in motor vehicles is done manually resulting data search process and reporting of data assets requires significant time and too often there is missing data that affect the process of asset maintenance vehicles. It is therefore proposed to design a vehicle asset management information system using php and mysql. Which aims to be able to overcome the difficulty in finding the desired data and vehicle and asset maintenance delay in making the report.
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Burgin, Leon, and Lauchlan Wallace. "Sense, Insight, Action – Woodside’s Intelligent Asset Journey." APPEA Journal 63, no. 2 (May 11, 2023): S159—S163. http://dx.doi.org/10.1071/aj22262.
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Intelligent Assets, sometimes referred to as digital twins, have gained attention for their ability to optimise operations and enhance decision-making in an increasingly complex and data-driven world. These assets are equipped with sensors and advanced analytics capabilities for real-time monitoring, predictive maintenance, and process automation. By creating a virtual replica of the physical asset or system, organisations can gain real-time insights and data-driven decision support for operations and maintenance. Woodside has advanced its vision for Intelligent Assets through its digital platform, Fuse, which was created to improve decision-making and optimise operations of its assets. The development of Fuse has been guided by the principles of sensing, insight, and action, ensuring safer, higher-performance operations. Fuse brings together multiple data sources, including process control information, sensor data, weather data, and historical performance data, for real-time monitoring of the asset. The platform provides a single pane of glass into the operation of the asset with advanced analytics for a deeper understanding of the performance and enabling action. Woodside provides use cases where sense, insight, and action have come together using their Fuse platform to deliver business outcomes, including enabling virtual operator rounds and condition-based maintenance. However, the implementation of Intelligent Assets can uncover several obstacles, such as data integration, scalability, and user adoption. Woodside seeks to shed light on these challenges and offers valuable insights for organisations striving to achieve successful digital outcomes.
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Bukhsh, Zaharah Allah, and Irina Stipanovic. "Predictive Maintenance for Infrastructure Asset Management." IT Professional 22, no. 5 (September 1, 2020): 40–45. http://dx.doi.org/10.1109/mitp.2020.2975736.
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Hassanain, Mohammad A., Thomas M. Froese, and Dana J. Vanier. "Framework Model for Asset Maintenance Management." Journal of Performance of Constructed Facilities 17, no. 1 (February 2003): 51–64. http://dx.doi.org/10.1061/(asce)0887-3828(2003)17:1(51).
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Too, Eric. "Infrastructure asset: developing maintenance management capability." Facilities 30, no. 5/6 (March 30, 2012): 234–53. http://dx.doi.org/10.1108/02632771211208503.
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Alabdulkarim, Abdullah A., Peter Ball, and Ashutosh Tiwari. "Assessing asset monitoring levels for maintenance operations." Journal of Manufacturing Technology Management 26, no. 5 (June 1, 2015): 632–59. http://dx.doi.org/10.1108/jmtm-01-2013-0003.
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Purpose – Asset management has recently gained significance due to emerging business models such as Product Service Systems where the sale of asset use, rather than the sale of the asset itself, is applied. This leaves the responsibility of the maintenance tasks to fall on the shoulders of the manufacturer/supplier to provide high asset availability. The use of asset monitoring assists in providing high availability but the level of monitoring and maintenance needs to be assessed for cost effectiveness. There is a lack of available tools and understanding of their value in assessing monitoring levels. The paper aims to discuss these issues. Design/methodology/approach – This research aims to develop a dynamic modelling approach using Discrete Event Simulation (DES) to assess such maintenance systems in order to provide a better understanding of the behaviour of complex maintenance operations. Interviews were conducted and literature was analysed to gather modelling requirements. Generic models were created, followed by simulation models, to examine how maintenance operation systems behave regarding different levels of asset monitoring. Findings – This research indicates that DES discerns varying levels of complexity of maintenance operations but that more sophisticated asset monitoring levels will not necessarily result in a higher asset performance. The paper shows that it is possible to assess the impact of monitoring levels as well as make other changes to system operation that may be more or less effective. Practical implications – The proposed tool supports the maintenance operations decision makers to select the appropriate asset monitoring level that suits their operational needs. Originality/value – A novel DES approach was developed to assess asset monitoring levels for maintenance operations. In applying this quantitative approach, it was demonstrated that higher asset monitoring levels do not necessarily result in higher asset availability. The work provides a means of evaluating the constraints in the system that an asset is part of rather than focusing on the asset in isolation.
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Venner, Marie. "Maintenance Quality Management and Environmental Stewardship." Transportation Research Record: Journal of the Transportation Research Board 1911, no. 1 (January 2005): 3–12. http://dx.doi.org/10.1177/0361198105191100101.
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Some of the most extensive information management and decision support systems at state departments of transportation (DOTs) are used in maintenance for condition tracking, work planning, budget estimation, and quality assurance. DOTs are confronted with the challenge of managing these and emerging environmental information and decision support needs in integrated systems that incorporate transportation and environmental assets and quality and the activities, materials, labor, budget, and tools needed to assess and manage them. Systems integration remains an elusive goal. Although a few states are pursuing integrated asset management systems, recent leaps forward have been frequently limited to integration of management systems within a single functional area, e.g., integration of Pontis for bridge management with Virtis to bridge load rating. In that decentralized context, this paper presents several leading examples or best practices in asset and maintenance quality management in various areas of maintenance where environmental aspects that are difficult to quantify have begun to be incorporated.
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de Jong, Stephan J., and Wouter W. A. Beelaerts van Blokland. "Measuring lean implementation for maintenance service companies." International Journal of Lean Six Sigma 7, no. 1 (March 7, 2016): 35–61. http://dx.doi.org/10.1108/ijlss-12-2014-0039.
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Purpose – Implementation of lean manufacturing is currently performed in the production industry; however, for the airline maintenance service industry, it is still in its infancy. Indicators such as work in process, cycle time, on-time performance and inventory are useful indicators to measure lean implementation; however, a financial economic perspective taking fixed assets into consideration is still missing. Hence, the purpose of this paper is to propose a method to measure lean implementation from a fixed asset perspective for this type of industry. With the indicators, continuous improvement scenarios can be explored by value stream discrete event simulation. Design/methodology/approach – From literature, indicators regarding asset specificity to measure lean implementation are found. These indicators are analysed by a linear least square method to know if variables are interrelated to form a preliminary model. The indicators are tested by value stream-based discrete event simulation regarding continuous improvement scenarios. Findings – With the new found lean transaction cost efficiency indicators, namely, turnover, gross margin and inventory pre-fixed asset (T/FA, GM/FA and I/FA, respectively), it is possible to measure operation performance from an asset specificity perspective under the influence of lean implementation. Secondly, the results of implementing continuous improvement scenarios are measured with the new indicators by a discrete event simulation. Research limitations/implications – This research is limited to the airline maintenance, repair and overhaul (MRO) service industry regarding component repair. Further research is necessary to test the indicators regarding other airline MRO service companies and other sectors of complex service industries like health care. Practical implications – The lean transaction cost efficiency model provides the capability for a maintenance service company to simulate the effects of process improvements on operation performance for service-based companies prior to implementation. Social/implications – Simulation of a Greenfield process can involve employees with possible changes in processes. This approach supports the adoption of anticipated changes. Originality/value – The found indicators form a preliminary model, which contributes to the usage and linkage of theories on lean manufacturing and transaction cost theory – asset specificity.
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Van Oosterhout, Daniel, and Cees Bil. "Modifying Maintenance Practices within a Maritime Support Solution from a Cultural Perspective." Journal of Industrial Integration and Management 02, no. 01 (March 2017): 1750005. http://dx.doi.org/10.1142/s2424862217500051.
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Maintenance culture is a critical factor in sea power delivery and is embedded throughout all aspects of the maritime support solution. Preliminary research suggests that Royal Australian Navy (RAN) maintenance staff and civilian support organizations do not hold positive attitudes towards asset management. As a result, there is evidence that maintenance culture should be defined and improved. However there are no adequate instruments available to measure this gap in culture and attitude within the RAN, or their associated support organizations. Hence the intent of this research is to validate the theory of a poor maintenance culture across all facets of the RAN ship maintenance support solution. Maintenance culture has for too long been about maintaining ships rather than maintaining ship’s reliability (also known as conducting maintenance for the sake of conducting maintenance). This paper investigates asset maintenance support solutions leveraging experience from alternative industry to augment the culture towards maintaining naval assets.
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Amaechi, Chiemela Victor, Ahmed Reda, Irish Mpho Kgosiemang, Idris Ahmed Ja’e, Abiodun Kolawole Oyetunji, Michael Ayodele Olukolajo, and Ikechi Bright Igwe. "Guidelines on Asset Management of Offshore Facilities for Monitoring, Sustainable Maintenance, and Safety Practices." Sensors 22, no. 19 (September 25, 2022): 7270. http://dx.doi.org/10.3390/s22197270.
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Recent activities in the oil and gas industry have shown an increasing need for monitoring engagements, such as in shipping, logistics, exploration, drilling, or production. Hence, there is a need to have asset management of these offshore assets (or facilities). Much of the offshore infrastructure is currently approaching or past its operational life expectancy. The study presents an overview on asset management of offshore facilities towards monitoring, safe practices, maintenance, and sustainability. This study outlines the major considerations and the steps to take when evaluating asset life extensions for an aging offshore structure (or asset). The design and construction of offshore structures require some materials that are used to make the structural units, such as offshore platform rigs, ships, and boats. Maintaining existing assets in the field and developing new platforms that are capable of extracting future oil and gas resources are the two key issues facing the offshore sector. This paper also discusses fault diagnosis using sensors in the offshore facilities. The ocean environment is constantly corrosive, and the production activities demand extremely high levels of safety and reliability. Due to the limited space and remote location of most offshore operations, producing cost-effective, efficient, and long-lasting equipment necessitates a high level of competence. This paper presents the guidelines on asset monitoring, sustainable maintenance, and safety practices for offshore structures. In this study, the management of offshore structures were also presented with some discussions on fault monitoring using sensors. It also proposes sustainable asset management approaches as guidelines that are advised, with policy implications.
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Md Aslam, Hossain, and Haron Ahmad Tarmizi. "Intelligent BIM record model for effective asset management of constructed facility." MATEC Web of Conferences 195 (2018): 06004. http://dx.doi.org/10.1051/matecconf/201819506004.
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Asset management is a continuous process that runs throughout the lifecycle of a constructed facility. The current practice of asset management is paper-based consisting of manual inspection and proves to be time consuming, tedious, and prone to human error. Building Information Modelling (BIM) has been found to be an emerging technology and core of information management for the design, construction, operation and maintenance (O&M) process. Though the usefulness of BIM has been greatly realized in the AEC (Architecture, Engineering and Construction) industry, its use for O&M, particularly in asset management, is still in its infancy. This research describes a framework of an intelligent BIM record model that can capture all the assets in BIM during the construction of a building facility. All the information necessary for operation and maintenance along with the location would be stored in a database integrating with the BIM. The database library can be interrogated with BIM and serves as a repository of asset management for the built facility. The BIM record model would help to take informed decisions regarding operations, maintenance, servicing, repair and replacement of an asset hence saving labour-intensive asset inventory, time and money, and preventing the wastage of unnecessary tools acquisition.
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Bardhi, Diana. "Road Asset Management Assessment." European Journal of Engineering and Formal Sciences 4, no. 2 (October 15, 2021): 25. http://dx.doi.org/10.26417/646qpv23t.
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Albanian Road Authority (ARA) under the administration of the Ministry of Energy and Infrastructure. It is responsible agency for the process of construction and maintenance of national and regional roads. Albanian Development Fund (ADF) is the agency for construction of rural and regional road infrastructure, also training for maintenance and management of municipalities responsible for maintenance of the urban and rural roads. ARA and ADF are using public funds for the construction of road infrastructure network, so due to restriction budgetary in road maintenance they the need to develop a strategy for the management and financial of maintenance, based on current accounting principles and efficiency of public funds in order to ensure safety and cost saving users. This includes the use of a balance of investments made to launch a database for years and the development of basic documents for the planning and control of public spending in these activities. The question that arises and requires an analysis is: a generally accepted value will be calculated for the infrastructure during its useful life, using the principles of sound accounting and valuation of real estate activities internationally applied. The results show that the existing accounting standards are suitable for use in infrastructure management, allowing a better control of public spending on infrastructure, while the principles of technical assessment of public infrastructure assets require the creation of a database and inventory for all road classification.
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Aushoof, Pasya Faishal, Nurlaila Fadjarwati, and Mariah Rabiatul Qibtiyah. "EVALUASI KINERJA PEMELIHARAAN ASET BANGUNAN PABRIK BLOK A – 06 DI PT. KAWASAN BERIKAT NUSANTARA (PERSERO)." Pondasi 25, no. 1 (December 25, 2020): 1. http://dx.doi.org/10.30659/pondasi.v25i1.13032.
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AbstractPT. Kawasan Berikat Nusantara (Persero) owns the building assets of block factory A-06 with an area of 5,400 m² with the condition of the building does not undergo improvement (indcondition) so that the offer price is low and the cost of repair of the building is high. There is also a waiting time when repairs are made so that investors need to wait for repairs to be completed. In the know of the performance of asset maintenance in the building of Block factory A – 06 used Key Maintenance Performance Indicators (Muchiri, 2010) based on 2 working areas (dimensions) are Leading Indicators and Lagging Indicators. The method used in the study is a descriptive method with a quantitative approach through data collection techniques for both interviews and documentation studies. The result of maintenance performance evaluation of the building assets of block plant A – 06 is known that the maintenance has been done is not optimal. A recommendation to solve the problem is to make a replanning of the A – 06 block factory building asset maintenance system.Keywords: evaluation of asset maintenance performance, building asset, building, Key Maintenance Performance Indicators.AbstrakPT. Kawasan Berikat Nusantara (Persero) memiliki aset bangunan pabrik blok A – 06 dengan luas 5.400 m² dengan kondisi bangunan tidak mengalami perbaikan (indcondition) sehingga harga penawaran sewanya rendah dan biaya perbaikan bangunannya tinggi. Terdapat juga waktu tunggu saat perbaikan dilakukan sehingga investor perlu menunggu perbaikan diselesaikan. Dalam mengetahui kinerja pemeliharaan aset pada bangunan pabrik blok A – 06 digunakan Key Maintenance Performance Indicators (Muchiri, 2010) berdasarkan 2 area kerja (dimensi) yaitu Leading Indicators dan Lagging Indicators. Metode yang digunakan dalam penelitian yakni metode deskriptif dengan pendekatan kuantitatif melalui teknik pengumpulan data baik wawancara dan studi dokumentasi. Hasil evaluasi kinerja pemeliharaan aset bangunan pabrik blok A – 06 diketahui bahwa pemeliharaan yang telah dilakukan tidak optimal. Rekomendasi pemecahan masalahnya adalah dibuat perencanaan ulang sistem pemeliharaan aset bangunan pabrik blok A - 06.Kata Kunci : evaluasi kinerja pemeliharaan aset, aset bangunan, Key Maintenance Performance Indicators.
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Lucas, Zeffrey. "Coal seam gas production: the operational and maintenance challenges." APPEA Journal 50, no. 2 (2010): 720. http://dx.doi.org/10.1071/aj09084.
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Compared to conventional gas, coal seam gas (CSG) production introduces additional complexities in operation due to the remoteness, number and distribution of the producing wells, the quantity of associated water and the variability in characteristics of each well. The potential irregularity in gas production is further highlighted when integrating with relatively steady state downstream facilities such as LNG production and power generation. Margins are particularly sensitive to operating cost because of the remoteness and distributed nature of the producing assets. Cost effective and reliable production of gas to the flow tolerances needed downstream requires that operations management, ongoing field development, asset maintenance and regulatory compliance be systematic and highly integrated. Experience shows that for operations reliant on distributed and remote assets, including CSG, that the ratio of predictive/preventive to corrective maintenance correlates directly to surety of gas production, with little margin to compensate for less than required reliability or low maintenance productivity. For CSG production it is difficult to avoid significant lost production as a consequence of higher levels of unplanned asset downtime. The remoteness, number of assets and operating cost constraints simply makes it difficult to overcompensate for lower reliability. Corrective actions are significantly more expensive when compared with centrally located assets because of the heightened pressure to correct in the shortest possible time. Further, deterioration of the maintenance regime compounds the effect as the emerging backlog of critical issues reduces the ability of crews to keep up with the preventative maintenance programme. Achieving a reliable outcome in CSG operations is therefore more reliant on a robust operations and maintenance management arrangement that also effectively incorporates the ongoing discrete activities of drilling, well completions, start-up and abandonment. To achieve these outcomes operators must ensure: the early development of maintenance philosophies, systems and processes during the project phase that consider the frequency of field variations for life of asset; a well planned system start up, commissioning and transition into first production; and, a constant focus on efficient deployment of resources, fit for purpose reliability and maintenance routines, logistics support and sparing plans, use of appropriate remote monitoring technologies and an incorporated regulatory compliance management plan. In its presentation PSN will demonstrate, through case study examples from its operations supporting coal seam gas and gas production assets in the United States and distributed and remote assets for the Western Australian Water Corporation, the challenges and management focal points critical to effective CSG production. The case studies will demonstrate the benefits achieved by PSN’s operations and maintenance management approach in the following areas: operations and maintenance readiness; distributed asset management; managing field development and modifications; implementing high performance maintenance; environmental monitoring and compliance; resource utilisation models; and, workforce training and development
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Chemweno, Peter, Liliane Pintelon, Adriaan Van Horenbeek, and Peter N. Muchiri. "Asset maintenance maturity model: structured guide to maintenance process maturity." International Journal of Strategic Engineering Asset Management 2, no. 2 (2015): 119. http://dx.doi.org/10.1504/ijseam.2015.070621.
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