Leveraging the relationship between BIM and asset management

Pocock, David; Shetty, N K; Hayes, Alan; Watts, Julian

doi:10.1680/iasma.13.00013

Cited by 18 publications

(12 citation statements)

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“…AM also enables asset owners to examine the performance of their assets and related systems to achieve organizational requirements and also integrates all management systems to overwhelm operating in silos (Cooksey et al 2010). Accordingly, AM transforms business objectives into asset-related decisions and assists in financial decision-making, short-term and long-term planning, and in generating scheduled work orders (Pocock et al 2014). Appropriate and reliable assets information; such as asset location, specifications, warranties and maintenance schedules, in a well-structured form are essential for supporting effective decision making during asset operation and management stage Nicał and Wodyński 2016).…”

Section: Introductionmentioning

confidence: 99%

Taxonomy for BIM and Asset Management Semantic Interoperability

et al. 2018

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At present, the capability to collect information from different sources (BIM, Sensors, Assets database) for Asset Management (AM) use has generated significant opportunities for asset owners and Facility Managers. Building Information Modeling (BIM) in particular, is considered as a potentially effective data pool for storing and managing project information during the 15 building lifecycle, providing a common data environment for stakeholder data and guarantying 16 information availability and credibility at the handover stage. However, this data integration in a BIM environment has come along with issues related to the establishment of an effective process to extract, store, manage, integrate and distribute data to ensure interoperability. Further to the interoperability issue, an important challenge is the identification of what data is relevant, reliable, useful and also can add value to the AM processes. This research explores the asset owner requirements from BIM in the operation and maintenance stage from an AM perspective. The research aim is twofold: first, to synthesize the non-geometric BIM data required for AM 23 and develop a relevant taxonomy. And secondly, to develop an Application Programing Interface 24 2 (API) plug-in for Autodesk Revit in order to implement the proposed taxonomy. To achieve the aims of this study, a critical review of previous literature, face-to-face and focus group interviews with BIM and Facilities Management (FM) experts were conducted. The main output is a sixty-parameter Asset Consuming Energy Information Management (ACE-IM) taxonomy and the relevant API plug-in which can help BIM professionals to identify the required data to be submitted to Facility Managers in order to improve AM processes.

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Section: Introductionmentioning

confidence: 99%

Taxonomy for BIM and Asset Management Semantic Interoperability

et al. 2018

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“…This is sometimes accompanied by challenges regarding the interoperability of information models with all the other organisational asset information system(s). Therefore, information requirements should be set out by the facilities management early in the projects, to ensure the delivered information models are compatible (Pocock et al, 2014).…”

Section: Financial Asset Managementmentioning

confidence: 99%

BIM-enabled facilities management (FM): a scrutiny of risks resulting from cyber attacks

Ghadiminia

Mayouf

Cox

et al. 2021

JFM

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Purpose Building information modelling (BIM) creates a golden thread of information of the facility, which proves useful to those with the malicious intent of breaching the security of the facility. A cyber-attack incurs adverse implications for the facility and its managing organisation. Hence, this paper aims to unravel the impact of a cybersecurity breach, by developing a BIM-facilities management (FM) cybersecurity-risk-matrix to portray what a cybersecurity attack means for various working areas of FM. Design/methodology/approach This study commenced with exploring cybersecurity within various stages of a BIM project. This showcased a heightened risk of cybersecurity at the post-occupancy phase. Hence, thematic analysis of two main domains of BIM-FM and cybersecurity in the built environment led to the development of a matrix that illustrated the impact of a cybersecurity attack on a BIM-FM organisation. Findings Findings show that the existing approaches to the management of cybersecurity in BIM-FM are technology-dependent, resulting in an over-reliance on technology and a lack of cybersecurity awareness of aspects related to people and processes. This study sheds light on the criticality of cyber-risk at the post-occupancy phase, highlighting the FM areas which will be compromised as a result of a cyber-attack. Originality/value This study seeks to shift focus to the people and process aspects of cybersecurity in BIM-FM. Through discussing the interconnections between the physical and digital assets of a built facility, this study develops a cyber-risk matrix, which acts as a foundation for empirical investigations of the matter in future research.

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“…The potential of BIM to facilitate architects and engineers in design works as well as the construction of the facilities is inarguable. It was claimed that Stage 7 (In Use) will receive the biggest impact if BIM is implemented in the property development project (Pocock et al, 2014). Pocock et al 2014 suggested how the building owner and the professionals such as engineers and architects could benefit in the implementation of BIM in their projects.…”

Section: The Integration Of Building Information Modelling (Bim) Intomentioning

confidence: 99%

The development of facilities management-development process (FM-DP) integration framework

Tucker

Masuri

2018

Journal of Building Engineering

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This paper aims to establish the critical factors for the integration of FM in the development process and to demonstrate the development of the Facilities Management-Development Process (FM-DP) integration framework. The framework will be useful to provide a guideline to enable professionals in FM and/or other professionals in property development industry to optimise the role of FM in the development process. A quantitative approach is adopted in which a statistical analysis was carried out based on the data obtained through the questionnaire survey. The purification of the scale was conducted followed by correlation and MANOVA. The results demonstrate that there are 15 factors to optimise the role of FM across eight (8) stages of RIBA Plan of Work 2013. The literature review reveals that FM has been given a low priority in the property development industry, resulting in FM being inadequately integrated into the development process. There are attempts from the industry and academia to integrate FM in the development process. However, there is a lack of evidence showing the establishment of a systematic generic mechanism for FM-DP integration. The research discovered that there are 15 factors to be considered at distinct stages of the RIBA Plan of Work 2013 to fully harness the role of FM in the development process. The establishment of FM-DP integration framework has satisfied the gap that needs to be filled.

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Leveraging the relationship between BIM and asset management

Cited by 18 publications

References 0 publications

Taxonomy for BIM and Asset Management Semantic Interoperability

Taxonomy for BIM and Asset Management Semantic Interoperability

BIM-enabled facilities management (FM): a scrutiny of risks resulting from cyber attacks

The development of facilities management-development process (FM-DP) integration framework

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