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DESIGN PROCESS MODELLING TO MEASURE ENGINEERING PRODUCTIVITY IN BUILDING DESIGN

Published online by Cambridge University Press:  19 June 2023

Yvonne Yu Bing Wong ,
Sam Conrad Joyce  and
Lucienne Blessing
Yvonne Yu Bing Wong*
Affiliation:
Singapore University of Technology and Design
Sam Conrad Joyce
Affiliation:
Singapore University of Technology and Design
Lucienne Blessing
Affiliation:
Singapore University of Technology and Design
*
Wong, Yvonne, Singapore University of Technology and Design, Singapore, [email protected]

Abstract

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A multi-domain Matrix (MDM) is used to identify and analyse rework loops within the Building Design (BD) process caused by building regulations. To model this process, we used information from official documents, plans of work, email archives, and anecdotal evidence as a case study. Findings reveal that MDM can identify the rework loops caused by building regulations, this information forms the basis to improve current BD processes. The complexity of the rework loop including the processes, people and, deliverables involved in the rework loop is also identified. Further analysis can also use the MDM to estimate the costs incurred with each rework cycle. This MDM can also identify rework loops in other engineering design processes due to design changes.

This study is part of a PhD project exploring engineering productivity in the construction industry using DRM. The results present an MDM that provides situation-specific insight, offering areas of process improvement, and support through engineering productivity measurement. This is one of the few studies that models rework loops in the BD process caused by regulations.

Keywords

Process modellingDesign processDesign managementBuilding DesignEngineering Productivity
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 1307 - 1316
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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