An integrated decision support system for building asset management based on BIM and Work Breakdown Structure

Development of a Building Information Modelling Asset (BIMAsset) value realisation model

This study aims to determine the Management of Land and Building Assets in Tolotio Village, Tibawa District, Gorontalo Regency. The research method uses a qualitative type. The results of the study indicate that the management of land and building assets in Tolotio Village, Tibawa District, Gorontalo Regency has not been running well, where 1 (one) of 4 (four) indicators measured, namely the planning indicator is optimal, namely the existence of planning activities by the Tolotio Village Government together with other stakeholders. those in Tolotio Village plan for the village's needs every year which are contained in the Village Government Work Plan (RKPDes). Meanwhile, 3 (three) other indicators measured, namely organization, direction and supervision were not optimal. This can be seen from the process of administering and reporting land and building assets that have not organized all land and building assets in Tolotio Village and the inability of the Tolotio Village Government in directing and supervising land and building assets into productive physical resources.

PurposeThis 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.Design/methodology/approachA 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.FindingsBIM 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.Originality/valueThis 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.

The purpose of this paper is to explain the mutually supportive relationship between building information modelling (BIM) and asset management. In doing so, it will enhance the ability of infrastructure owners and their suppliers to develop and implement processes, tools and collaborative working practices that optimise infrastructure asset costs and performance over the entire life cycle of assets. The paper has been produced to help mitigate the danger of treating BIM and asset management as isolated practices; reinforce the need to consider BIM implementation in the context of wider asset management policies, practices and systems and vice versa; and maximise the benefits from investments being made in the development and implementation of BIM and asset management. Asset management and BIM knowledge activities and standards have emerged in the UK construction industry as more or less parallel initiatives and have been crystallised in standards such as BS PAS 55 (Asset management – Specifications for the optimized management of physical assets) and the soon-to-be-published ISO 55000 and PAS1192-2 (Specification for information management for the capital/delivery phase of construction projects using building information modelling), respectively. This paper explains the relationship between these two disciplines and why they must be considered together if the full benefits of each are to be realised for both the asset owner and its service providers.

Abstract. The integration of Building Information Modelling (BIM) and Geographical Information Systems (GIS) is gaining momentum in digital built Asset Management (AM), and has the potential to improve information management operations and provide advantages in process control and delivery of quality AM services, along with underlying data management benefits through entire life cycle of an asset. Work has been carried out relating GeoBIM/AM to buildings as well as infrastructure assets, where the potential financial savings are extensive. While information form BIM maybe be sufficient for building-AM; for infrastructure AM a combination of GIS and BIM is required. Scientific literature relating to this topic has been growing in recent years and has now reached a point where a systematic analysis of current and potential uses of GeoBIM in AM for Infrastructure is possible. Three specific areas form part of the analysis – a review of BIM and Infrastructure AM and GIS and Infrastructure AM leads to a better understanding of current practice. Combining the two, a review of GeoBIM and Infrastructure AM allows the benefits of, and issues relating to, GeoBIM to be clearly identified, both at technical and operational levels. A set of 54 journal articles was selected for in-depth contents analysis according to the AM function addressed and the managed asset class. The analysis enabled the identification of three categories of issues and opportunities: data management, interoperability and integration and AM process and service management. The identified knowledge gaps, in turn, underpin problem definition for the next phases of research into GeoBIM for infrastructure AM.

Purpose – The role of engineering asset management (AM) system as a controlling element within organizations is not well defined or understood. The purpose of this paper is to include the role of AM in the organizational strategy making, an issue that has not received sufficient attention. The focus of the paper is on how such role is maintained by the AM system activities, relationships and mechanisms over the asset-related activities of an organization. Design/methodology/approach – As an approach, a reference framework is required that allows research of this area. By combining a number of possible views of an organizational management system a comprehensive view can be established. A review of literature was used to establish a framework identifying the AM system as an integrated part of the organization's management system. Findings – A framework is established that focuses on planning and controlling asset-related activities by involving a set of activities, relationships between these activities and feedback mechanisms. A system functional model is proposed integrating the established framework as part of the control of the enterprise system. Research limitations/implications – The framework and system functional model are established on a theoretical basis and practical experience requiring applicability to be proven by further research. Practical implications – Asset managers in capital intensive organizations can utilize the framework and the system functional model in order to study their AM system, its relationships and to consider how it may be improved. Originality/value – Exploring a holistic and relatively new concept.

With the rising adoption of building information modelling (BIM) for asset management within the architecture, engineering and construction sectors, BIM-enabled asset management during the operation and maintenance phase has been increasingly attracting more and more attention in both research and practice. This paper provides a comprehensive review and analysis of the development of state-of-the-art research and industry standards that impact on BIM and asset management within the operation and maintenance phase. However, in the aspects of both information richness and analytical capability, BIM is not always enough in delivering effective and efficient asset management, particularly in the operation and maintenance phase. Therefore, a framework for future development of smart asset management is proposed, integrating the concept of digital twins. Digital twins integrate artificial intelligence, machine learning and data analytics to create dynamic digital models that are able to learn and update the status of the physical counterpart from multiple information sources. The findings will contribute to inspiring novel research ideas and promote widespread adoption of digital-twin-enabled asset management within the operation and maintenance phase.

Information Quality for Effective Asset Management: A literature review

Although a considerable amount of research has addressed the use of building information modelling (BIM) in facilities management (FM) within the past years, there is limited systematic review on investigating the potentials of BIM within the operation and maintenance (O&M) life cycle phase. Yet, this phase could account for approximately 60% of the total life cycle costs of assets. The purpose of this paper is to conduct a systematic literature review on the application of BIM in the O&M phase to identify current research trends, research gaps and future directions. This study achieves the aforementioned purpose by adopting the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P). It employs qualitative and quantitative techniques to analyse the articles from a combination of three multi-disciplinary research databases, namely—Scopus, Web of Science and Engineering Village, which also comprises Compendex, InSpec, GeoRef and GeoBase sub-databases. After an in-depth review of 196 selected journal articles, this study systemically presents: (1) bibliometric analyses of the literature in BIM and O&M; (2) research patterns and trends; (3) drivers and barriers to BIM–O&M integration; and (4) research gaps mapped into a standard project management lifecycle to guide future research directions. The content analysis reveals that BIM has mainly been integrated under seven functions: information management (IM), advanced technology (AT), maintenance and asset management (MAM), indoor management (IM), performance assessment (PA), visualisation (V), and lean management (LM). Findings of the study reveal that the UK, USA and China are the top ranked countries with regards to research outputs on BIM–O&M integrations. The majority of BIM integrations within O&M falls under the information management function, whereas the least research output was recorded under lean management. In addition, the majority of studies focused on institutional and infrastructure facility types, but residential, industrial and commercial buildings were underrepresented, despite their disproportionate physical dominance within most societies. Findings also show that potential drivers and barriers for BIM integrations within O&M can be classified into three main categories—technical, organisational, and legal/contractual. It is then concluded that the application of BIM within O&M is still emerging, which further emphasises the need for more studies that address value realization in the context of BIM in O&M, with particular focus on the specific O&M principles for different building types.

The purpose of this paper is to discover the current methods that facility managers use to manage and track assets and identify a set of attributes for Building Information Modelling (BIM) that can improve the efficiency of the current facility management (FM) practice. A survey of over 100 facility management professionals addressed demographics such as industry sector, number of buildings managed, and use of industry standards or internally developed guidelines for data management. This information is correlated with their current asset management strategies to identify minimum sets of attributes that may be used for an FM-specific BIM. In addition, the survey asked the FM professionals their opinion on the importance of specific asset attributes and data management information that could be included in a BIM for FM. The findings of this paper indicate that there is a consensus on basic information (asset type, unique identification, manufacturer, model number, serial number) needed for asset management, and that there is no generally accepted system on how this is done in current practice. FM professionals and software providers may use the information in this paper to establish baseline sets of data to include in BIM during the design phase of projects. This paper provides insight and data as to the current practice of asset management by facility managers. Understanding the actual needs of the FM industry will assist in future research to implement BIM for FM.

Building Information Modelling (BIM) is a transformative technology that integrates three-dimensional modelling with asset management, offering enhanced visualization and improved decision-making capabilities throughout the building lifecycle.This study explores the implementation of scan to BIM technology for asset management in the Faculty of Civil Engineering and Built Environment (FKAAB) at Universiti Tun Hussein Onn Malaysia.The methodology involved three key phases: laser scanner data collection, asset database development, and asset validation.A Traverse survey and Trigonometry method were used to collect precise coordinate data, which was processed and integrated into a BIM model using Autodesk Revit and ARCHIBUS software.The resulting asset database significantly improved the accuracy and reliability of asset information, facilitating better management and maintenance.The study showed the benefits of scanning to BIM technology in asset management and suggested future research on automating data integration and exploring Artificial Intelligence (AI) and Machine Learning (ML) applications.

Purpose- In recent years, digital transformation using Building Information Modelling (BIM) systems has reshaped asset management. This process involves systematically maintaining and improving assets throughout an organization's lifecycle, with a focus on sustainability objectives. However, the current asset management process often wastes time and resources searching for asset information. This research aims to create a BIM-based framework, address the disconnection between asset management models and key indicators of sustainability, and help achieve the organisation's sustainability objectives.Methodology- This paper explores the relationship between asset management and sustainability objectives, establishing an integrated framework from existing literature. A seven-step approach to developing information needs is also proposed.Findings- It was found that asset information requirements are often formed without a direct link to the organisational objectives they are intended to achieve or are difficult to detect adequately. Recognising the cyclical nature of asset management and BIM and generating a framework.Implications- The framework will help address the disconnection between design aspirations and key indicators of sustainability.Originality value- The framework aligns asset management with sustainability objectives and integrates with BIM for a unified asset management platform.

WBS-based dynamic multi-dimensional BIM database for total construction as-built documentation

The design of the civil engineering works in High Speed Two (HS2) is a good example of what can be achieved when the Building Information Modelling (BIM) process is embraced. Central to the BIM process is a three-dimensional (3D) model that communicates the civil design to enable construction, asset management, operation and maintenance in a fully collaborative and coordinated multi-disciplinary environment. Software developers of leading BIM packages have responded to the requirements of HS2 and similar projects by delivering feature-rich applications to enable design and BIM to go hand-in-hand. HS2, however, is under a tight programme to deliver a 3D model with a Level of Detail (LOD) beyond what has been required on most projects to date, and this has resulted in exhaustive testing of the software. Such requirements have identified gaps in the BIM software tools for drainage designers. Drainage designers utilise hydraulic modelling software to design and test their designs. This software must be efficient, reliable and, most importantly, have all the design tools necessary to design and test a drainage network to meet the client’s requirements. HS2 Ltd’s requirements under the Asset Data Dictionary Definition Document (AD4) are to provide spatially accurate 3D models along with detailed and relevant asset data. The integrated project team delivering the HS2 Area North works opted to achieve this by delivering fully attributed BIM models. However, software developers of leading drainage design packages do not have the BIM capabilities required to provide a BIM model with the LOD required in HS2 on their own. They must be integrated with a BIM software. This leaves drainage designers using two separate systems with a requirement to integrate two software packages to work seamlessly together in a BIM environment. To overcome this, a suite of tools was developed using Visual Basic for Applications (VBA) to convert from MicroDrainage (a drainage design tool) to Bentley OpenRoads Designer (a BIM package) and fully attribute the BIM models. The tools have been developed specifically for HS2 feature definitions and requirements, however, with further development, they could be customisable for use on other projects thus improving the level of detail, accuracy and efficiency future deliverables on future projects.

In order to continue to deliver high quality service while meeting the goals expected of them, asset managers are increasingly required to utilize advances like advanced information management systems, automated data collection, and the integration of a range of data types. Through a review of asset management systems and research undertaken into its use in building design organizations in South-East Queensland, Australia, the use of Building Information Modelling (BIM) for life cycle sustainable asset management is discussed. The results of this research indicate that while there has been development of BIM and other advanced information systems in asset management, further work is required to fully achieve the potential for using these systems. Options for better facilitating this process include improved sharing of BIM models, interoperability between systems, improved training and having an Open BIM approach to facilitate its development