Facility Assets Research Articles

Virtual Tours as Effective Complement to Building Information Models in Computer-Aided Facility Management Using Internet of Things

This study investigates the integration of Building Information Models (BIMs) and Virtual Tour (VT) environments in the Architecture, Engineering and Construction (AEC) industry, focusing on Computer-Aided Facility Management (CAFM), Computerized Maintenance Management Systems (CMMSs), and data Life-Cycle Assessment (LCA). The interconnected nature of tasks throughout a building’s life cycle increasingly demands a seamless integration of real-time monitoring, 3D models, and building data technologies. While there are numerous examples of effective links between IoT and BIMs, as well as IoT and VTs, a research gap exists concerning VT-BIM integration. This article presents a technical solution that connects BIMs and IoT data using VTs to enhance workflow efficiency and information transfer. The VT is developed upon a pilot based on the Controlled Environments for Living Lab Studies (CELLS), a unique facility designed for flexible monitoring and remote-control processes that incorporate BIMs and IoT technologies. The findings offer valuable insights into the potential of VTs to complement and connect to BIMs from a life-cycle perspective, improving the usability of digital twins for beginner users and contributing to the advancement of the AEC and CAFM industries. Our technical solution helps complete the connectivity of BIMs-VT-IoT, providing an intuitive interface (VT) for rapid data visualisation and access to dashboards, models and building databases. The practical field of application is facility management, enhancing monitoring and asset management tasks. This includes (a) sensor data monitoring, (b) remote control of connected equipment, and (c) centralised access to asset-space information bridging BIM and visual (photographic/video) data.

Public Financing of Professional Sports Facilities and Drug Asset Forfeiture

Local governments provide many crucial services from limited budgets, yet often subsidize the profitable, private businesses in professional sports leagues in the United States. Policing represents one important public service. Policing typically constitutes large portions of government budgets and also generates revenue through fines and forfeitures. Existing evidence suggests that large municipal expenditures in other areas can have an ambiguous effect on policing outcomes. This paper addresses the question of whether large public expenditures on sports facilities affect drug asset forfeiture using two-way fixed effects (TWFE) and generalized dynamic model specifications (GDMS). The results are similar across estimation methods, with static TWFE results suggesting a treatment effect of $1,274–5,589 in additional forfeiture per million in subsidies and results from the newer GDMS estimators suggesting $7,703 per million in subsidies. The results imply that, beyond generating no tangible local economic benefits, public subsidization of sports facilities also leads police to make up budget shortfalls by more aggressive policing, which has important implications for racial equity.

Application of BIM Implementation Process in the Operation and Maintenance of Information Management System in Building Facilities

The appalling state of building facilities in Nigeria, poses a great concern to stakeholders. This stems from lack of adequate information management in the operation and maintenance of building facilities. Therefore, the study is aimed at assessing the application of BIM implementation process in the operation and maintenance of information management system in building facilities. The study made use of a quantitative research approach, making the population for the study to encompass facility management practitioners (Onsite Facility Engineers, Onsite Facility Technicians, Facility Management Professionals [IFMA] and Facility Management Company owners) who are fully registered with International Facility Management Association (IFMA) in Abuja-Nigeria. The sample size for the study is 184 and the respondents were selected by a systematic random sampling method with a close ended questionnaire used for the data collection. The questionnaire is administered via Google forms; and questionnaires shared through the google form link were answered and the results were collected through google response tools, and 121 copies of the questionnaire were duly filled, returned and used for data analysis. The result shows that the implementation of BIM in operation and maintenance of facilities is very low as manual and stand-alone computer system are still predominant in most of the operations carried out by the practitioners and the stakeholders. The study further revealed that Improvement in asset information management that lead to increased efficiency of facility assets is significantly affect by the operational system. The result also shows that Facility managers are traditionally included late in the building lifecycle and posed a high challenge to most practitioners and this has made the application of BIM in operation and maintenance of information management in facility management very negligible, as such the paper suggest that BIM usage in the O&M of buildings should be encouraged and imbibed right from the planning and designing stages of building facilities. Facility managers/professional should also be included right from the inception of a building life cycle to the end of the building.

Criticality-Based Management of Facility Assets

Effective facility asset management requires specific skills and tools to optimize the use of limited resources, making a decision support system essential. This research introduces a comprehensive decision support system, which is a framework organized into three models: the criticality model, the rehabilitation model, and the optimum criticality model to manage the rehabilitation of facility assets. The criticality model utilizes the Analytical Hierarchy Process (AHP) to assess the group of assets. Emphasizing criticality as a central management factor, this model lays the foundation for subsequent decision-making. The rehabilitation model employs an Artificial Neural Network (ANN), integrating Customer Level of Service (CLoS), Technical Level of Service (TLoS), and asset criticality to determine appropriate rehabilitation actions. NeuralTools 7.5 is leveraged for precise predictions of rehabilitation strategies tailored to specific assets. The third model, optimum criticality, focuses on prioritizing rehabilitation activities within the constraints of limited budgets. Lingo 20.0 is utilized to optimize rehabilitation activities, considering budget limitations and other constraints, offering a strategic approach to maximize the impact of available resources. This integrated framework provides decision-makers with a systematic and data-driven approach to facility management, enhancing the efficiency and effectiveness of rehabilitation actions. An academic building was chosen as a hypothetical example to implement the three models and suggest the essential considerations for managing both the academic building itself and other infrastructure assets. The results obtained demonstrate that the principles and methodologies encapsulated in this project can be extrapolated and scaled up for application to large-scale infrastructure assets, ensuring the sustenance of the requisite level of service and the management of acceptable risk on a broader scale.

Analisis Kualitas Aset Fasilitas Koridor Jalan sebagai Ruang Publik

Braga Street is a commercial area consisting of road corridors and pedestrian paths. Ideally, optimally functioning public spaces have the best quality so that they have the carrying capacity of community activities. Increasing the activities of urban communities creates many ideas, collaborations, and businesses that support economic growth. To realize the effectiveness of public space, facility assets in public space are the main factor that affects the quality of public space. Evaluation of facility assets on Jalan Braga, Bandung is needed to assess the quality of its assets. The evaluation was carried out using the Public Space Quality Index (PSQI) method. The quality of facility assets is assessed based on aspects of accessibility, maintenance, attractiveness, comfort, safety and security. From the evaluation results, accessibility aspects are categorized as quality class A (highest), maintenance aspects are quality class B (high), attractiveness aspects are categorized as quality class A (highest), comfort aspects are categorized as quality class B (high), and safety and security aspects are categorized as quality class B (high). Overall, Jalan Braga's facility assets are categorized as quality class B (high).

Operation Principles of the Industrial Facility Infrastructures Using Building Information Modeling (BIM) Technology in Conjunction with Model-Based System Engineering (MBSE)

The current industrial facility market necessitates the digitization of both production and infrastructure to ensure compatibility. This digitization is presently accomplished using Building Information Modeling and digital twin technologies, as well as their integrated usage, which enhances convergence and adds further value to facility assets. However, these technologies primarily focus on the physical components of industrial facilities, neglecting processes, requirements, and functions. To address these gaps, the inclusion of the Model-Based System Engineering approach, a proven benchmark in systems engineering, is essential. This inclusion is the main objective of this research. This article outlines methods and principles for integrating Model-Based System Engineering into the informational modeling of existing industrial facilities to address current market gaps. It offers practical steps for such integration and compares it to other methods, positioning Model-Based System Engineering as a pivotal tool for enhancing the value of industrial facility digital assets. The main findings include the proposal of BIM and MBSE integration, which aims to create a competitive advantage for industrial facilities by improving customer service and operational efficiency, requiring collaboration from various stakeholders.

Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network

Aircraft hangar fire detection systems are essential for protecting both the facility's assets and the contents of an aircraft. In terms of predicting a fire outbreak at an aircraft hangar, the Intelligent Aircraft Hangar Fire detection is considered as a high-performance system that is designed based on the principle of a wireless sensor network (WSN), which operates by employing three sensor nodes at different locations inside the aircraft hangar to transmit gas concentrations in the air to a base station (BS) and send the resulting data from the sensor nodes to a server for analysis and visualization of the risk level. The server uses Machine Learning (ML) techniques to analyze the acquired data along with the sample gas data and displays the report in real time. When the smoke (gas) concentration is high, the server predicts a fire outbreak by displaying a high concentration zone on the Graphic User Interface (GUI). By this, the server automatically issues a warning and identifies the potential fire location. The technology is built to protect aircraft assets, hangar buildings, and human (personnel) life. A crucial part in the early detection of fire is played by the intelligent system

The features of Anglican churches in Malaysia and their maintenance practices

PurposeThis paper aims to explore the history of Anglican churches in Malaysia and discusses their typical features and their respective maintenance practices.Design/methodology/approachA narrative review of 84 literacy sources published between 1967 and 2020 on the development and features of Anglican churches in Malaysia, along with recommendations on maintenance practices from the asset and facilities management perspective. The exploration of churches’ features follows three main disciplines in building maintenance according to the Jabatan Kerja Raya Guideline for as-built buildings in Malaysia.FindingsThe findings of the study have then been tabulated to form a maintenance framework to recommend suitable maintenance practices on specific building components based on different materials. The paper argues that as places of worship, the assets of religious facilities are intangible compared to any other types of building that serve a tangible function (i.e. shelter, commercial or industrial operation). Throughout the exploration of their maintenance practices suggested by vast sources of literature, it is proven that the maintenance of churches is not as straightforward as merely remedying the defects, but it requires the maintenance to radically minimise any disturbance to their aesthetics, thus making maintenance a more challenging task at churches.Originality/valueThis paper proposes a maintenance framework for Anglican churches in Malaysia by categorising building disciplines and their corresponding building components, which supports future research to improve the maintenance practices of religious facilities.

Toward Improving BIM Acceptance in FM: A Conceptual Model Integrating TTF and TAM

Substantial research has been performed on Building Information Modeling (BIM) in various topics, for instance, the use and benefit of BIM in design, construction, sustainable environment building, and Facility assets over the past several years. Although there are various studies on these topics, Building Information Modeling (BIM) awareness through facilities management is still relatively poor. The researcher's interest is increased in BIM study is based heavily upon the perception that it can facilitate the exchange and reuse of information during various project phases. This property and others can be used in the Iraqi Construction industry to motivate the government to eliminate the change resistance to use innovations in the Iraqi construction industry. Even though many scholars and practitioners agree on the potential application and benefits of BIM in construction/ Facilities Management FM, it is yet unknown why BIM is used and what criteria facilitate BIM achievement in O&M. As long as the actual usage and acceptance of BIM in the Operation and Maintenance phase is still a central issue in practice, therefor depending on the extensive well ground literature review a conceptual acceptance model is proposed in this paper by applying the technology acceptance theories such as Technology Acceptance Model (TAM) and Task Technology Fit (TTF) to explore how the extent of facilities management staff going to accept and adopt the new international technology (BIM).

Development of a Campus Facility Management Operational Framework Using a Modified Delphi Method

An effective facility management process is crucial to overall firm performance and is becoming a core competency for organizations seeking to gain a competitive advantage. The recent literature on facility management reveals that poor facility management is a major cause of management inefficiency, leading directly to budget overruns, maintenance delays, repetition of work, variations, noncompliance incidents, unnecessary risk, and dissatisfied customers. Therefore, facility management firms should pay close attention to the most critical success factors in order to effectively manage and measure performance. This paper presents a multidimensional campus facility management performance framework (CFMPF) that addresses both operational and systematic factors. Facility management companies, owners, contractors, and consultants can use this framework to identify systemic weaknesses using key indicators to specifically assess the effectiveness and success of facility management. The significance of 45 key facility management success factors across seven categories was determined via a literature review, expert interviews, and the Delphi method. The seven process groups are: Campus Facility Work Force Management, Campus Facility Communication Management, Campus Facility Systems Management, Campus Facility Organizational Management, Campus Facility Financial Management, Campus Sustainability & Environment Management, and Campus Facility Assets Management. To verify the overall agreement via the Delphi rounds, the score percentage and standard deviation to mean ratio were examined. Mean value and interrater agreement (IRA) analyses were conducted to evaluate the correlation between the factors and facility performance. This research adds to the body of knowledge by presenting a systematic operational framework for campus facility management that identifies the underlying factors influencing performance and fills the gaps left by previous studies.

IMPLEMENTATION OF MAINTENANCE AND RELIABILITY MANAGEMENT SYSTEM (MRMS) IN PERTAMINA HULU ENERGY SUBHOLDING UPSTREAM (PHE SHU) THROUGH FIELD ASSESSMENT OF ISO 55001

As part of the integrated efforts that need to be made to achieve the target of becoming a world-class energy company, PHE SHU seeks to carry out the implementation of the Asset Integrity Management System (AIMS) and develop a MRMS which involves a solid team and is able to complete implementation in a timely, effective, efficient and highly competitive manner, to achieve a production target of 1 million bbl/day and 12 bcf/day in 2030 for national energy security referring to the international standard ISO 55001. MRMS is a reference for the governance of the reliability program and maintenance of production facility assets in the Upstream Subholding environment in the operational phase of the Pertamina Group asset management life cycle. identification of Failure Mode Effect Analysis (FMEA) preparation of maintenance strategy programs in the form of task selection for failure mode control based on studies in FMEA namely preparation of detection work programs in rotating equipment in the form of Predictive Maintenance (PdM) activities, task selection of detection programs in static equipment in the form of RBl activity. Task selection prevention in the form of Preventive Maintenance (PM) activities. Failure finding (function test), including determining time intervals for carrying out inspection activities for the PdM, RBI, PM, function test, ORDC (Operator Routine Duty Check List) programs based on the historical failure rate stated in PAREDA in ensuring that Upstream Oil and Gas Assets are optimized, sustainable, safe & reliable operations.

Development of the framework for quantitative cyber risk assessment in nuclear facilities

Industrial control systems in nuclear facilities are facing increasing cyber threats due to the widespread use of information and communication equipment. To implement cyber security programs effectively through the RG 5.71, it is necessary to quantitatively assess cyber risks. However, this can be challenging due to limited historical data on threats and customized Critical Digital Assets (CDAs) in nuclear facilities. Previous works have focused on identifying data flows, the assets where the data is stored and processed, which means that the methods are heavily biased towards information security concerns. Additionally, in nuclear facilities, cyber threats need to be analyzed from a safety perspective. In this study, we use the system theoretic process analysis to identify system-level threat scenarios that could violate safety constraints. Instead of quantifying the likelihood of exploiting vulnerabilities, we quantify Security Control Measures (SCMs) against the identified threat scenarios. We classify the system and CDAs into four consequence-based classes, as presented in NEI 13–10, to analyze the adversary impact on CDAs. This allows for the ranking of identified threat scenarios according to the quantified SCMs. The proposed framework enables stakeholders to more effectively and accurately rank cyber risks, as well as establish security and response strategies.

Improving Data-Driven Infrastructure Degradation Forecast Skill with Stepwise Asset Condition Prediction Models

Organizations with large facility and infrastructure portfolios have used asset management databases for over ten years to collect and standardize asset condition data. Decision makers use these data to predict asset degradation and expected service life, enabling prioritized maintenance, repair, and renovation actions that reduce asset life-cycle costs and achieve organizational objectives. However, these asset condition forecasts are calculated using standardized, self-correcting distribution models that rely on poorly-fit, continuous functions. This research presents four stepwise asset condition forecast models that utilize historical asset inspection data to improve prediction accuracy: (1) Slope, (2) Weighted Slope, (3) Condition-Intelligent Weighted Slope, and (4) Nearest Neighbor. Model performance was evaluated against BUILDER SMS, the industry-standard asset management database, using data for five roof types on 8549 facilities across 61 U.S. military bases within the United States. The stepwise Weighted Slope model more accurately predicted asset degradation 92% of the time, as compared to the industry standard’s continuous self-correcting prediction model. These results suggest that using historical condition data, alongside or in-place of manufacturer expected service life, may increase the accuracy of degradation and failure prediction models. Additionally, as data quantity increases over time, the models presented are expected to improve prediction skills. The resulting improvements in forecasting enable decision makers to manage facility assets more proactively and achieve better returns on facility investments.

Smart Airport: Mobile Asset Information Modeling Management based on Gamificative VR Environment --- A Case Study of Ningbo Lishe International Airport Staff Restaurant

With the popularization of Virtual Reality (VR) technology, the application of the complementary advantages of BIM+VR collaboration in facility management (FM) and asset management (AM) is an emerging research field. This theory holds that BIM information generated and acquired in the life cycle of the facility can improve the management of the facility and asset based on the visual expression of VR technology. With this proposition as a starting point, based on the Ningbo Lishe International Airport’s staff restaurant project, the purpose of this paper is to investigate the value of BIM and VR and the challenges they pose in influencing their adoption in AM applications. By establishing a BIM model and a quantitative asset information model, and using the 720 cloud VR platform and related smart devices to complete the visual expression of asset information. The results demonstrated that that the value of BIM+VR in AM comes from the improvement of the existing manual information transfer process, which reduces the data delay to a large extent. Secondly, the accuracy and accessibility of AM data are improved, and the efficiency of the management is improved. The originality of this paper is to prove the great potential of BIM and VR in AM optimization and improvement through real case study, and to provide empirical evidence for the value and challenges of BIM+VR in AM application.

서울시 교육시설 인권영향평가 연구

As part of a long-term road map for the development and operation of the human rights impact assessment system in Seoul, this study was conducted for field assessments of human rights impact assessments on educational facilities among architectural facility assets owned by Seoul city government. In order to derive operational conditions and problems based on the Human Rights Impact Assessment Checklist of Seoul, 11 educational facilities among the assets owned by Seoul city government were pre-invested, and finally, Gocheoc Public Library, Seoul Institute of Technology and Education, Seoul Open City University Headquater, Yongsan Public Library, on-site evaluation was conducted for 4 facilities. As a result of this study, educational facilities were generally highly evaluated in terms of the right to access and the right to move. In terms of the right of mobility, it was confirmed that the efforts of individual institutions to strengthen the right of mobility while reinforcing functions such as remodeling had a greater impact than the early time of building construction. In terms of the right of access to information other than the right of access and mobility, the characteristics of educational facilities were relatively good. In terms of environmental rights, there was a large gap between facilities, and it was confirmed that they were greatly affected by the year of establishment and the initial design. The right to participate was transferred to the entrusted institution in a state where it was hardly reflected in the initial design stage and was evaluated low. Overall, the most serious human rights field was the right to rest, and both facility users and employees were vulnerable.

Finite element simulation and failure analysis of fixed bollard system according to the PAS 68:2013 standard

Fixed bollards are very significant elements in providing urban roadside safety. These structures, called passive systems, allow pedestrians and disabled people to use sidewalks effectively and safely, as well as they have a crucial role in protecting the above-ground assets of infrastructure facilities against run-off-road (ROR) crashes. In this study, structural and safety performance analyses of fixed bollards that protect natural gas above ground Reducing and Metering Station-B (RMS-B) type regulating stations used in many points in Istanbul were made. In this regard, finite element (FE) models of the steel pipe of the fixed bollard, the concrete of the foundation and the soil where the bollard was mounted were created. Existing fixed bollards have been verified with accident data. In the light of the calibration and validation, numerical models were created and combined with the vehicle models specified in PAS 68:2013 standard to simulate dynamic behaviours. The combined FE models were analysed applying LS-DYNA software. As a result of the numerical analysis, the fixed bollard system cannot safely stop the 30000 kg N3, 18000 kg N3 and 7500 kg N2 class vehicles, and cannot prevent them from damaging the RMS-B. Besides, the fixed bollard system cannot provide safety at the speed level of 48 km/h, considering the urban speed limit for 3500 kg N1 and 2500 kg N1G class vehicles. However, the fixed bollard system can safely stop 1500 kg and 900 kg M1 class vehicles up to 64 km/h speed limit. These analyses revealed that considering the regional traffic characteristics of Istanbul, the existing fixed bollard systems are not sufficient for the protection of hazardous roadside facilities and need to be improved. Full-scale crash tests should be carried out in future studies to validate the FE simulation models. Furthermore, various bollard designs should be developed, especially urban road requirements.

Sport Facility Asset Transfer and the Creativity of Volunteer-Run Public Facilities

Influenced by the world economic environment, many sports facilities expenditure after the Games will bring a heavy economic burden to the government. It is very important to deliver sports facilities to the community and the local governmentThis article aims to use literature analysis to critically analyse the argument that the asset transferral of the local government sport facilities to volunteers could transform sport services by stimulating creativity in local communities. It mainly uses the concept of social innovation and the Big Society to recognise the challenges and benefits during and after the sport facility transfer.

Implementasi Program Penanganan Prasarana Dan Sarana Umum (PPSU) Di Kelurahan Melawai Kecamatan Kebayoran Baru Kota Administrasi Jakarta Selatan

Jakarta has a relatively low number of settlements and the level of comfort index for residents of Jakarta is still at an average level. This is due to the lack of good public infrastructure. The Provincial Government of DKI Jakarta has made a program for Handling Infrastructure and Public Facilities (PPSU) in order to accelerate the functioning of locations / infrastructures and assets of public facilities as well as damaged, dirty or unsuitable utilization. The Program launched in order to optimize services to the community. The purpose of this research is to explain how the implementation of Public Infrastructure and Management Handling Program (PPSU) in Melawai sub-district, explains the factors that influence the implementation and analyze strategies in improving the program. This study uses descriptive qualitative research method with an inductive approach. Data collection comes from observations, interviews and documentation. Data analysis techniques in this study use data reduction, data presentation and conclusion drawing and finding strategies by SWOT analysis. Based on the result, founded by the author, the implementation of PPSU in Melawai sub-district has not been running optimally. As has not yet been seen to be maximum are the support of community participation to engage in environmental cleaning up activities, the frequent accumulation of rubbish heaps, dirty sewers and illegal graffiti have not been handled. The success of the program have not been achieved because of influenced by the low performance of PPSU officers in terms of work motivation and less discipline. The author recommends a strategy by periodically evaluating the performance of PPSU officers and improving the operational (monitoring, coaching and supervising) operations of PPSU officers intensively and sustainably.

An application of metadata-based image retrieval system for facility management

For facility management, photography is an efficient and accurate method of recording the physical state of infrastructure. However, without an effective organizational scheme, the difficulty of retrieving relevant photos from historical databases can become overly burdensome for highly complex or long-lived assets. To make strategic decisions, it is crucial to retrieve the right information from a plurality of sources in a timely manner. The main objective of this paper is to present a method for organizing and retrieving photos from massive facility management photo databases using photo-metadata: photographed location, camera perspective, and image semantic content information. Indoor localization experiments were performed using Bluetooth technology to infer the location information. Perspective is inferred from the device’s on-board inertial measurement unit (IMU). Image semantic content is inferred using a Convolutional Neural Network (CNN)-based deep learning algorithm. Fusing these three features, seven query options were provided for the user when retrieving images. Leveraging Building Information Modeling (BIM) as a process and Geographic Information Systems (GIS) as a framework, this paper also envisions a federated information management by connecting 2D and 3D facility assets with our real-world map which can be smoothly bridged with our image retrieval system. The realization of the integrated application with BIM and GIS is significantly beneficial for the facility management domain by advancing the understanding of projects in a broader view with a federated data platform. In this research, the framework is illustrated with 21 institutional buildings within the University of Texas at Austin’s main campus, and the authors conclude that the proposed metadata-based image retrieval system can ultimately enhance the better-informed decision-making process through rapid information retrieval.

A novel Neutrosophic-based machine learning approach for maintenance prioritization in healthcare facilities

The development of decision support tools for use in the maintenance management and renewal prioritization of healthcare facility assets is considered a highly challenging task due to the multiplicity of uncertainties and subjectivity levels available in such a decision-making process. Accordingly, this study utilizes a combination of Neutrosophic logic, Analytic Network Process (ANP) and Multi-Attribute Utility Theory (MAUT) to reduce the subjectivity pertaining to expert-driven decisions and produce a reliable ranking of hospital building assets based on their variable criticality levels and performance deficiencies. This is further integrated with the novel use of machine learning algorithms in this field, namely: Decision Trees, K-Nearest Neighbors and Naïve Bayes to automate the priority setting process and make it reproducible diminishing the need for additional expert judgments. The developed model was applied to Canadian healthcare facilities, and its corresponding predictive performance was validated by means of comparison against a previously established model, and its excelling capability was clearly demonstrated. Accordingly, the developed integrated framework is expected to aid in creating a consistent, unbiased and automated prioritization scheme for hospital asset renewals, which in turn is expected to contribute to an efficient, informed and sound resources allocation process.