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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 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.

As the use of building information modeling (BIM) for facilities management (FM) continues to grow, questions remain around the quality and completeness of digital assets to support FM practices. This paper aims to examine the current gap between digital and physical assets in the absence of formal information requirements and its impact on the handover process.

An action-research was carried out with a large public organization to understand the challenges of their current FM processes and the steps required in developing an asset information model (AIM) from a project information model (PIM). A mixed method approach was employed with interviews, document analysis and an exploratory pilot case study.

This paper investigates the process, the challenges and the level of effort of the information commissioning process to create a fit-for-use AIM. Four distinct steps were identified in the process as follows: analyzing the handover PIM and documents, extracting FM-specific information, populating the model with the information and attaching operations and maintenance (O&M) documents. The research highlights the significant amount of effort that is required when no specific asset information requirements are formulated at the project onset.

The paper presents an information commissioning process that helps to develop an AIM from a PIM. Understanding the impact of the lack of requirements on the information commissioning process can help asset owners understand the importance of defining and articulating their information requirements up front.

This paper provides empirical evidence of the impact of the absence of formal information requirements on the development of a fit-for-use AIM.

The purpose of this paper is to provide a unique conceptual framework for integrated asset management strategy that includes making use of available facility assessment methods and tools such as BREEAM In-Use, and Leadership in Energy and Environmental Design (LEED); and highlights proposes areas of commonality between these and the use of as-built Building Information Modelling, that ultimately becomes the Asset Information Model (AIM). This framework will consider the emerging requirements for the capture of Building Performance Attribute Data (BPAD), and how these can be managed in order to assist with effective post-construction building performance evaluation.

A review of the current process relevant to the development of as-built BIMs and AIMs was undertaken which included a discussion of BIM standards and of the COBie process. This was combined with data provided by industry practitioners. This led to the concept of BPADs being developed, to be used within existing green building tool, BREEAM In-Use, COBIE and FM/Asset management methods. In turn these methodologies were used to identify possible synergies and areas of integration in AIM-enabled environments.

Recognising the cyclical nature of asset management and BIM, a conceptual model was generated. It was found that BPADs could be aggregated within an AIM model which could influence the delivery of effective facilities and asset management. The model considers the use of existing Building Management Systems (BMS) and Computer Aided Facility Management Systems (CAFMs) and identifies issues associated with the overall sustainability strategy.

A conceptual framework is generated that proposes the use of effective information management and aggregation of BPAD within an AIM.

Currently, building information modelling (BIM) is largely seen as a 3D model, not as an information model or information management tool. This wrong perception of BIM and low interest in 3D asset management (AM) is one of the major reasons for the slow adoption by clients in the architectural, engineering and construction (AEC) industry. The purpose of this paper is to identify the techniques and strategies of streamlining AM systems for BIM-based integration, and how the information is captured from physical assets towards BIM-based integration for clients to derive value from BIM investments.

A qualitative case study strategy was used to study the strategic implementation process of integrating BIM with AM systems and the business value of BIM in AM by a large asset owner in the UK.

The paper identifies key strategies in the adoption of BIM-based processes by an asset owner, the implementation process, the challenges and the benefits attained. Several barriers were identified as the challenges of adopting BIM-based processes in AM: complexity and cost associated with BIM; irrelevance of 3D geometric data in AM processes; nature of asset ownership structure; managing the asset handover process; managing change within the organisation. Organisations will have to consider the following issues in streaming asset information with BIM: the development for a clear strategy prior to adoption; connecting the strategy to the business goals; and conducting the discovery exercise to identify organisational information needs.

The research addresses a significant gap in the development of techniques and strategies for asset owners to streamline BIM with AM systems and derive business value from such integration. The research context is a case study involving a large owner-operator in the UK that has been able to derive value from BIM systems in their AM processes. The key value of the paper is improving asset owners’ understanding of BIM in AM by demonstrating the implementation strategies, linkage to organisational objectives, challenges, value management process and business value of BIM in AM. Another contribution of the paper is improving the understanding of BIM, which is usually viewed as 3D models and that 3D geometric data do not have much value for AM tasks.

Adoption of building information modelling (BIM) in facilities management (FM) provides an information platform to store and exchange asset data. Quantity Surveyors, with cost management expertise, are increasingly involved in FM roles in the operation phase. However, no study has been conducted on how BIM may assist Quantity Surveyors when contracted in FM roles. This study aims to identify the potential benefits and challenges of using BIM by Quantity Surveyors in FM roles.

Interviews were conducted with eight professionals from an international built and natural asset design and management company and its FM business partner in Australia.

Lack of complete and accurate data was the main issue faced by Quantity Surveyors in FM. The benefits of BIM in FM were digitizing and storing asset information and developing a cost database that would be useful for Quantity Surveyors, whereas challenges included keeping model data up to date, cost, industry resistance to change and contractors' lack of model use.

This study contributes to revealing the niche adoption of BIM by Quantity Surveyors in FM and identifying the issues faced by Quantity Surveyors in FM roles using BIM. It contributes to the knowledge of BIM adoption in post-construction. Findings will be useful to develop strategies for adopting BIM in FM and supporting Quantity Surveyors' roles in FM.

This paper aims to investigate how digital capabilities associated with building information modelling (BIM) can integrate a wide range of information to improve built asset management (BAM) decision-making during the in-use phase of hospital buildings.

A comprehensive document analysis and a participatory case study was undertaken with a regional NHS hospital to review the type of information that can be used to better inform BAM decision-making to develop a conceptual framework to improve information use during the health-care BAM process, test how the conceptual framework can be applied within a BAM division of a health-care organisation and develop a cloud-based BIM application.

BIM has the potential to facilitate better informed BAM decision-making by integrating a wide range of information related to the physical condition of built assets, resources available for BAM and the built asset’s contribution to health-care provision within an organisation. However, interdepartmental information sharing requires a significant level of time and cost investment and changes to information gathering and storing practices within the whole organisation.

This research demonstrated that the implementation of BIM during the in-use phase of hospital buildings is different to that in the design and construction phases. At the in-use phase, BIM needs to integrate and communicate information within and between the estates, facilities division and other departments of the organisation. This poses a significant change management task for the organisation’s information management systems. Thus, a strategically driven top-down organisational approach is needed to implement BIM for the in-use phase of hospital buildings.

This paper aims to propose a space-oriented solution as an interface enabling the knowledge transfer between the building and the facilities management (FM) industry.

The research gap is explored based on practical investigations in six large-scale hospitals in China. The theory of engineering systems integration inspires the proposed solution. A practical scenario is demonstrated to explain the workflow of this solution.

It is founded that lagging information updates of FM systems in hospital project are one of the main reasons for inefficient and costly FM workflow. Building information modelling (BIM) model could provide accurate building information to the FM systems at the building handover stage. However, few researchers focus on the continuous information transfer solution from the BIM model to FM systems during the building in-use phase. An interface should be established for the “conversation” between the frequent changes of building and the FM systems in the post-construction period.

The information updates in three FM systems due to space changes in a hospital project is considered as a practical scenario in this paper. It is presented with the workflow and the data logic chain.

The originality of this paper is to propose a solution to integrate the space information provided by the BIM model with the parameters of particular FM systems. This solution deploys a BIM model for the FM industry. The solution could allow the FM personnel to ease operations and maintenance workflow by updating the space information in the BIM model.

Effective management of highways requires management of diverse data sets including traffic volume data, roadway, and road edge and road-side data. Like all major infrastructure clients, highways administration authorities are under pressure to use such platforms for better management of data that, in addition to creating other opportunities, allows improved life cycle management of asset data and predictive analytics. This paper aims to review such opportunities and the value that can be generated through integrated life cycle data management by leveraging Big Data and building information modelling (BIM).

A literature review is initially performed to systematically gather information to identify and understand BIM as a collaborative platform. Data management applications in other industries are also reviewed. Interviews were conducted and two industry workshops were organised to understand BIM implementation challenges within highways development projects and the role BIM can play in bridging inefficiencies resulting from loss of information at handover phases. The overall understanding lead to drawing up user needs, gathering system requirements and eventually a system architecture design to promote efficient information management throughout the asset lifecycle.

It is observed that data from the design and construction phases of projects can be used to inform asset registers from an earlier stage. This information can be used to plan maintenance schedules. Moreover, it can also be integrated with data generated from numerous other sensors to develop a better picture of network operations and support key decision-making. Effective road network management involves collection and analysis of huge data from a variety of sources including sensors, mobiles, assets and Open Data. Recent growth in Big Data analytics and data integration technologies provides new opportunities to optimise operations of highways infrastructure.

The system architecture designed for this research is translated into a prototype system as a proof of concept. However, it needs to be tested and validated by end users to be transformed into a useful solution for the industry.

This paper provides an enhanced understanding of new opportunities created to optimise operations of highways infrastructure using the recent growth in Big Data analytics and data integration technologies.

Advancements in digital technologies have provided significant opportunities to improve the Architecture, Engineering, Construction and Owner-operated (AECO) sector’s performance through superior data management, streamlined processes and cooperative working practices. However, whilst academic literature widely espouses these benefits during the design and construction phases of development, research suggests that the operational phase of a building’s lifecycle has yet to fully realise performance improvements available through the application of digital modelling technology. The purpose of this paper is to synthesise extant digital modelling, asset management and emergent digital asset management literature, to report upon the beneficial implications of digitalised asset management and identify obstacles hampering its adoption in industry.

A componential synthesis of future work reported upon in extant literature is organised into thematic categories that indicate potential research avenues and a trajectory for digital asset management research and practice.

Themes identified include: imprecise Building Information Modelling definitions; isolated software development; data interoperability; intellectual property and virtual property rights; and skills and training requirements. Notably, increased environmental performance also arose as a theme requiring further research but received considerably less academic coverage than the other obstacles identified.

The work presents a comprehensive review of digital technologies utilised within the AECO sector and as such provides utility to researchers, policy makers and practitioners to enhance their knowledge capabilities.