Search results

The purpose of this study is to outline the problems associated with asset information management using the Construction Operations Building Information Exchange (COBie) standard and to analyse the causes of industry failure to successfully adopt the standard. Based on this analysis, the paper will propose a process model, namely, Lifecycle Exchange of Asset Data (LEAD) to manage asset dataflow between all building stakeholders from design to construction and ultimately to the facility management team. This model aims to help the construction supply chain to produce complete and high-quality asset data that supports the operation phase of the built environment.

A review of relevant studies provided a theoretical background for this study. The authors then collected and analysed COBie data from five live construction projects using building information modelling (BIM) projects from different design and construction companies. The process model is based on an industry placement within Bouygues UK construction company, which was a Tier 1 building contractor in London in the period from December 2016 to December 2018. The researcher used an inductive approach observing current practises in two construction projects to produce “LEAD” model. Then a focus group was conducted with industry experts to discuss and refine the process model.

Analysis of literature and data collected in the course of this study revealed that although COBie is a BIM Level 2 standard in the UK, there is currently a low success rate in producing complete and accurate COBie data in the UK construction industry. This low rate is because of COBie’s rigid data syntax/structure, complexity and ambiguity of its data exchange process, which suggests that COBie may not be the future of the industry. Based on these findings, the study proposed a process model, namely, “LEAD,” to improve COBie output and also to be used with project-specific information requirements.

To the best of the authors’ knowledge, this paper is one of the first to focus solely on asset data exchange process using COBie standard and highlights the problems the industry faces in this remit. The study is based on industry placement for two years, so the analysis is based on actual and current industry problems. Current industry practices also informed the “LEAD” model, and the model provides a step-by-step guidance in producing and exchanging BIM asset data in all stages of the building lifecycle.

This paper provides a detailed analysis of the most common problems associated with COBie as an asset data exchange standard. Understanding these problems is of high value for industry practitioners to avoid them in projects. The paper also proposed a novel process model that can be used either to improve COBie quality or can be used with any project-specific data requirements.

Asset inventory is an essential part of any building asset management system and is needed by such functions as condition assessment and deterioration prediction. Previous studies in asset management systems have suggested the use of one of the many standard construction classification systems, such as UniFormat or MasterFormat, in achieving the goals of asset management. However, each classification system has its unique features, and it has been developed for different purposes and may not necessarily be directly adaptable to asset management. A proper classification system is thus needed to achieve the goals of building asset management effectively. Such a system must take into consideration the objectives and functions of asset management. Therefore, the purpose of this paper is to establish a unified work breakdown structure (WBS)-based framework for building asset inventory.

The WBS-based framework aims to cover the entire lifecycle of an asset so as to provide the unified classification system for asset inventory. The proposed framework is developed based on appropriate building standards. Also, comprehensive levels of details are included for space functions and locations for all assets in any type of building. Furthermore, this framework takes into consideration utilities in any kind of building project. As such, the WBS-based framework proposed in this research endeavor provides the basis for effective asset management. An educational building case study is presented and discussed to demonstrate the effectiveness of the proposed framework for asset management.

The unified WBS-based framework for building asset management effectively classifies asset inventories and facilitates decision-making in asset management during the lifecycle of an asset.

This research synthesizes a unified WBS-based framework for building asset management, which allows for a more effective lifecycle building asset management.

The purpose of this paper is to explore certain resources, capabilities and competencies needed to improve the performance of physical asset management (PAM).

The analytic hierarchy process (AHP) is used to select and prioritize the most appropriate factors for improving performance. A multi-criteria approach is used to analyze and compare the importance of 6 main criteria and 18 subcriteria identified from a survey of relevant literature.

The study revealed that not all factors are viewed as having equal importance in improving PAM performance, as three of the main factors attained greater importance among the six factors.

This study explored the factors required for managing assets only within the third stage of asset lifecycle, that is, the utilization stage. It is recommended that future studies be conducted in such a way as to determine the importance of similar factors in the other stages of the asset lifecycle, or to identify new factors and add new criteria.

Knowledge of the differential impacts of the factors on the performance of PAM can impact asset managers and decision makers in their allocation of resources and focus their work on the highest-ranked rather than the lowest-ranked factors. Also, AHP used provides an effective mean for asset managers to identify priorities among decision criteria in their organization.

To date, no study has explored the impact of six combined factors on the performance of PAM. Previous studies have found that these factors each had equal importance. However, their relative ranking in practice and when they appear together have remained unrecognized.

Currently, owners find it difficult to manage their assets throughout their project life cycle. The fact that asset information models (AIMs) are mandatory as deliverables for building information modeling-driven projects makes it a key requirement for the client to understand in detail those factors affecting asset operation. Hence, because the Kingdom of Saudi Arabia is the most significant market in the Middle East, this study aims to investigate those factors where blockchain and AIMs could impact the asset management (AM) life cycle.

Researchers used a hypothesis-based approach over a systematic literature review and a workshop (descriptive statistics) to understand the current challenges in AM. Later, a second workshop was run to understand the impact factor analysis affecting the operation of the asset life cycle by using asset information modeling and blockchain technology over a multiquantitative method.

Results found that factors affecting the operation of assets could be the improvement of trust and stakeholder’s influences; the availability of handover process products’ accurate data; manufacturers providing detailed product models; increasing the speed of preparing holistic and integrated AM systems; improving collaboration between stakeholders; and returning clients’ investments faster.

Understanding the factors affecting AM life cycle based on the utilization of AIMs and blockchain then allows investors and their team members to work in a secure and collaborative environment that helps them to pre-identify certain risks and improve decision-making in a more effective way, as is required by ISO55000.

The purpose of this paper is to investigate and identify the activity systems that drive building information modelling (BIM) business value in asset management (AM). The utilisation of BIM has widened in scope, functionality, flexibility and interoperability to support the AM business process. However, research concerning BIM business value in AM has been inadequate despite its considerable potential and significance in the attainment of organisational objectives. The realisation of BIM business value requires a concerted effort by the asset owner to be able to determine and appraise the critical activities that drive business value in AM.

The study adopted a qualitative research approach based on a multi-case study strategy that aimed to identify the key business processes that drive BIM business value in AM. The study involved a three-stage research design using interviews and document analysis to facilitate a cross-case analysis from the perspective of the activity systems and dimensions of BIM governance.

The paper identified six critical activity systems that drive BIM business value for an asset owner: BIM strategy, contract management, lifecycle management, maintenance management, work-order management and value realisation management. The study found that the most developed activity system is the BIM strategy, and the least is value realisation management across all cases. Also, the paper points out that the most proficient BIM governance dimension is process, and the least is people across the three cases. The study noted that the ability of an asset owner to realise BIM business value has maturity undertones and that the asset owner could derive BIM business value, if the six activity systems are effectively executed and continuously improved to an advanced stage of maturity.

An original contribution of the study is the development of the understanding of asset owners in relation to the discovery of key activity systems that drive BIM business value in AM. Another significant contribution of this paper is the demonstration of a novel approach to evaluate organisational maturity of asset owners from the perspectives of the activity systems and BIM governance dimensions of people, process and technology.

The purpose of this paper is to address the need for further development of tools that could be used to mitigate obsolescence within the built environment. Literature reviewed within this paper indicates a distinct gap in research, allowing for rising obsolescence-driven investments within asset systems. In addition to further conceptual development, case study testing is required to validate the use of certain existing methods.

This paper has developed a Boolean obsolescence assessment tool, which was then tested within a case study environment. This year-long case study provided real world data across three asset systems within an operational building.

The findings from this preliminary case study indicate that a Boolean tool of this type has the potential to provide significant insight into obsolescence mitigation. Such a tool, implemented in accordance with onsite asset management processes, has the ability to mitigate and avoid obsolescence-driven investments.

This case study is limited because of its length and size. To mitigate the effects that may have been captured, this research project has been developed and continued.

The model featured within this paper originated from an untested obsolescence indexing technique. This model was adapted and extended to improve its accuracy and functionality, which also involved adding weighting mechanisms, resulting in not only an original model but a novel set of results because of the current lack of explicit testing of similar models.

The emergence of new digital technologies in the era of the Fourth Industrial Revolution presents a turning point that could change the fate of the traditional ways of designing, build and manage asset data. Disruptive technologies such as Blockchain and theInternet of things (IoT) are one of the main pillars that are driving this revolution. The integration of decentralised networks and automated workflows has the potential to become a pivotal factor in construction projects, especially in supply chain ecosystems within the off-site manufacturing field. Obstacles related to fragmented information, interoperability, transparency and “big data” management are the main drivers for change that the industry needs to address. Whilst organisations and users can automate workflows and processes by utilising IoT technology to transfer data without human-to-human or human-to-computer interaction, the interaction, storage and management of the data generated are not safe or reliable.

The approach outlined in this paper addresses the challenges that IoT and centralised networks present. Blockchain, a peer-to-peer distributed database, offers the possibility to support and maintain the asset information without interruptions in all the stages of the life cycle. The synergy between these technologies, along with other techniques, methods and platforms (such as building information modeling (BIM)), based on a single environment, will support information traceability from the strategic definition to end of life.

The framework of this study presents an excellent opportunity to apply new workflows and processes with the application of new technologies and protocols. It benefits from a well-established platform such as BIM to enable the coordination and management of digital assets as well as giving illustration and collaboration to the supply chain members. IoT and Blockchain are the other layers that work together with the third layer (BIM). This framework proposed the use of these platforms to ensure the information traceability of physical and digital assets, data automation and information management, in a dynamic supply chain ecosystem, bringing efficiency and transparency to stakeholders and users.

This study provides an exploratory framework to be used by the supply chain members in offsite manufacturing, and the architecture, engineering and construction (AEC) industry in general, to track asset information throughout their entire life cycle securely and transparently.

This paper contributes to the knowledge of IoT, Blockchain technology and BIM use in offsite manufacturing under the AEC industry. It provides a basis for future research by professionals, experts and academics regarding these technologies and their workflows.

The purpose of this paper is to design a framework for asset data management in power companies. The authors consider asset data management from a strategic perspective, linking operational-level data with corporate strategy and taking into account the organizational context and stakeholder expectations.

The authors conducted a multiple case study based on a literature review and three series of in-depth interviews with experts from three Russian electric power companies.

The main challenge in asset data management for electric power companies is the increasing amount and complexity of asset data, which is frequently incomplete or inaccurately collected, hard to translate to managerial language, focused primarily on the operational level. Such fragmented approach negatively affects strategic decision-making. The proposed framework introduces a holistic approach, provides context and accountability for decision-making and attributes data flows, roles and responsibilities to different management levels.

The limitations of our study lie in the exploratory nature of case study research and limited generalization of the observed cases. However, the authors used multiple sources of evidence to ensure validity and generalization of the results. This article is a first step toward further understanding of the issues of transformation in power companies and other asset intensive businesses.

The novelty of the framework lies in the scope, focus and detailed treatment of asset data management in electric power companies.

The purpose of this paper is to assess the effectiveness of operational property asset management in Scottish Councils and the extent to which this achieves best value. Appropriate criteria for evaluating asset management effectiveness include the effective use of capital resources, efficient and effective use of property assets, and improved service delivery.

The paper is based on a survey investigating 32 Scottish councils. A questionnaire survey and interview of a select number of key stakeholders were carried out.

The research findings suggest that councils have been less successful in efficiently and effectively using property assets to reduce operating and maintenance costs. They have equally been unsuccessful in bringing about increased staff efficiency. Furthermore, there is a problem of improving service delivery, as councils have been less successful in introducing cross‐service working and co‐location as well as ensuring that properties are easily accessible users. However, councils have been very successful in making effective use of capital receipts to support capital projects.

Unlike other parts of the UK, asset management in Scottish councils has only recently been introduced. This might account for the dearth of similar research on asset management in Scottish councils, making it difficult to compare findings.

As no similar study has been carried out on asset management in Scottish councils, the findings of this research contribute to literature on asset management and best value, thus highlighting the Scottish perspective.