BIM-based integrated management workflow design for schedule and cost planning of building fabric maintenance

Chen, Chao and Tang, Llewellyn (2019) BIM-based integrated management workflow design for schedule and cost planning of building fabric maintenance. Automation in Construction, 107 . p. 102944. ISSN 0926-5805

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Abstract

The operation and maintenance (O&M) is the longest and costliest phase during the entire building lifecycle. In recent decades, with the rapidly increasing costs of new constructions, the effective maintenance has become more important to the existing buildings, particularly to their fabric components, which include both architectural and structural items for maintaining physical characteristics and ensuring normal performance of the existing building over its lifecycle. However, building maintenance costs are also increasing dramatically and this situation mainly results from the delay of maintenance work due to inefficient maintenance planning for the facility management purpose. The inefficient maintenance planning is caused due to lack of effective methods and techniques for predicting the uncertainties including schedule and costs during the maintenance stage. Therefore, this paper proposes an innovative management workflow design which integrates Building Information Modelling (BIM) with digital programming to implement efficient schedule and cost planning of building fabric maintenance. Through this BIM-based workflow design, the knowledge gap between maintenance theories and practical maintenance management can be narrowed by a consistent and sustainable building information flow, which is highly linked with the design and construction phase. This study makes a contribution to integrating the traditional maintenance management with digital technologies to improve the management performance and maintenance efficiency of the O&M phase in the future.

Item Type: Article
Keywords: Building information modelling (BIM); Management workflow; Building fabric maintenance; Cost and schedule planning; Digital programming;Integration
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Architecture and Built Environment
Identification Number: https://doi.org/10.1016/j.autcon.2019.102944
Depositing User: Yu, Tiffany
Date Deposited: 24 Sep 2019 01:01
Last Modified: 24 Sep 2019 01:01
URI: http://eprints.nottingham.ac.uk/id/eprint/59090

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