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Alwan, Z and Gledson, B J (2015) Towards green building performance evaluation using asset information modelling. Built Environment Project and Asset Management, 5(03), 290-303.
Bosch, A, Volker, L and Koutamanis, A (2015) BIM in the operations stage: Bottlenecks and implications for owners. Built Environment Project and Asset Management, 5(03), 331-43.
Kassem, M, Kelly, G, Dawood, N, Serginson, M and Lockley, S (2015) BIM in facilities management applications: A case study of a large university complex. Built Environment Project and Asset Management, 5(03), 261-77.
Lindkvist, C (2015) Contextualizing learning approaches which shape BIM for maintenance. Built Environment Project and Asset Management, 5(03), 318-30.
Love, P E D, Zhou, J, Matthews, J, Sing, C-P and Carey, B (2015) A systems information model for managing electrical, control, and instrumentation assets. Built Environment Project and Asset Management, 5(03), 278-89.
Motawa, I and Almarshad, A (2015) Case-based reasoning and BIM systems for asset management. Built Environment Project and Asset Management, 5(03), 233-47.
Olatunji, O A and Akanmu, A (2015) BIM-FM and consequential loss: How consequential can design models be?. Built Environment Project and Asset Management, 5(03), 304-17.
Whyte, A and Donaldson, J (2015) Digital model data distribution in civil engineering contracts. Built Environment Project and Asset Management, 5(03), 248-60.
- Type: Journal Article
- Keywords: asset management,civil-engineering,data-distribution,digital-modelling,maintaining-information,managing-information
- ISBN/ISSN:
- URL: https://doi.org/10.1108/BEPAM-02-2014-0009
- Abstract:
Purpose - The use of digital-models to communicate civil-engineering design continues to generate debate; this pilot-work reviews technology uptake towards data repurposing and assesses digital (vs traditional) design-preparation timelines and fees for infrastructure. The paper aims to discuss these issues. Design/methodology/approach - Extending (building-information-modelling) literature, distribution-impact is investigated across: quality-management, technical-applications and contractual-liability. Project case-study scenarios were developed and validated with resultant modelling-application timeline/fees examined, in conjunction with qualitative semi-structured interviews with 11 prominent stakeholder companies. Findings - Results generated to explore digital-model data-distribution/usage identify: an 8 per cent time/efficiency improvement at the design-phase, and a noteworthy cost-saving of 0.7 per cent overall. Fragmented opinion regarding modelling utilisation exists across supply-chains, with concerns over liability, quality-management and, the lack of Australian-Standard contract-clause(s) dealing directly with digital-model document hierarchy/clarification/reuse. Research limitations/implications - Representing a small-scale/snapshot industrial-study, findings suggest that (model-distribution) must emphasise checking-procedures within quality-systems and, seek precedence clarification for dimensioned documentation. Similarly, training in specific file-formatting (digital-model-addenda) techniques, CAD-file/hard-copy continuity, and digital-visualisation software, can better regulate model dissemination/reuse. Time/cost savings through digital-model data-distribution in civil-engineering contracts are available to enhance provision of society’s infrastructure. Originality/value - This work extends knowledge of 3D-model distribution for roads/earthworks/drainage, and presents empirical evidence that (alongside appropriate consideration of general-conditions-of-contract and specific training to address revision-document continuity), industry may achieve tangible benefits from digital-model data as a means to communicate civil-engineering design.