Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-05T05:00:54.416Z Has data issue: false hasContentIssue false
  • English
  • Français

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

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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

References

Architects, R. I. O. B. (2013) “RIBA plan of work 2013”, RIBA: London, 6(2), 1–27. https://doi.org/10.4324/9780429347184-2Google Scholar
Barbosa, F., Woetzel, J. and Mischke, J. (2017) Reinventing construction: A route of higher productivity: McKinsey Global InstituteGoogle Scholar
BCA Structural Plans and Permit Approvals, Forms and documents, available: https://www1.bca.gov.sg/regulatory-info/building-control/structural-plans-and-permit-approvals [accessed 7 December].Google Scholar
Beaumont, P. (2023) “Turkey earthquake death toll prompts questions over building standards”, The Guardian, 7 February 2023Google Scholar
Dixit, S., Mandal, S. N., Thanikal, J. V. and Saurabh, K. (2019) “Evolution of studies in construction productivity: A systematic literature review (2006–2017)”, Ain Shams Engineering Journal, 10(3), 555–564. 10.1016/j.asej.2018.10.010CrossRefGoogle Scholar
Eppinger, S. D. and Browning, T. R. (2012) Design structure matrix methods and applications, MIT press. https://doi.org/10.7551/mitpress/8896.003.0003CrossRefGoogle Scholar
Forcada, N., Gangolells, M., Casals, M. and Macarulla, M. (2017) “Factors affecting rework costs in construction”, Journal of Construction Engineering and Management, 143(8), 04017032. https://doi.org/10.1061/(asce)co.1943-7862.0001324CrossRefGoogle Scholar
König, C., Kreimeyer, M. and Braun, T. (2008) “Multiple-Domain Matrices as a Framework for Systematic Process Analysis”, in DSM 2008: Proceedings of the 10th International DSM Conference, Stockholm, Sweden, 11.-12.11. 2008Google Scholar
Love, P. E. (2002) “Influence of project type and procurement method on rework costs in building construction projects”, Journal of Construction Engineering and Management, 128(1), 18–29. https://doi.org/10.1061/(asce)0733-9364(2002)128:1(18)CrossRefGoogle Scholar
Love, P. E., Mandal, P. and Li, H. (1999) “Determining the causal structure of rework influences in construction”, Construction Management & Economics, 17(4), 505–517. https://doi.org/10.1080/014461999371420CrossRefGoogle Scholar
Love, P. E., Mandal, P., Smith, J., Irani, Z., Treloar, G. and Faniran, O. (2000) “DECOREM: A Design and Construction Rework Minimisation Model”, in ICSTM.Google Scholar
Ma, G., Hao, K., Xiao, Y. and Zhu, T. (2019) “Critical chain design structure matrix method for construction project scheduling under rework scenarios”, Mathematical problems in engineering, 2019. https://doi.org/10.1155/2019/1595628CrossRefGoogle Scholar
Mubarkoot, M., Altmann, J., Rasti-Barzoki, M., Egger, B. and Lee, H. (2022) “Software Compliance Requirements, Factors, and Policies: a Systematic Literature Review”, Computers & Security, 102985. https://doi.org/10.1016/j.cose.2022.102985CrossRefGoogle Scholar
Mustapha, A. M., Arogundade, O., Misra, S., Damasevicius, R. and Maskeliunas, R. (2020) “A systematic literature review on compliance requirements management of business processes”, International Journal of System Assurance Engineering and Management, 11, 561–576. https://doi.org/10.1007/s13198-020-00985-wGoogle Scholar
Nair, S., De La Vara, J. L., Sabetzadeh, M. and Briand, L. (2014) “An extended systematic literature review on provision of evidence for safety certification”, Information and Software Technology, 56(7), 689–717. https://doi.org/10.1016/j.infsof.2014.03.001CrossRefGoogle Scholar
Palaneeswaran, E., Kumaraswamy, M., Ng, T. and Love, P. (2006) “Neural network modeling for rework related cost overrun and contractual claims in construction projects”, in Proceedings of the Joint International Conference on Computing and Decision Making in Civil and Building Engineering, ICCCBE Montreal, 1393–1402Google Scholar
Tompa, E., Kalcevich, C., Foley, M., Mcleod, C., Hogg-Johnson, S., Cullen, K., Maceachen, E., Mahood, Q. and Irvin, E. (2016) “A systematic literature review of the effectiveness of occupational health and safety regulatory enforcement”, Am J Ind Med, 59(11), 919–933. 10.1002/ajim.22605CrossRefGoogle ScholarPubMed
Wong, Y. Y. B., Joyce, S. C. and Blessing, L. (2021) “A Review of Design Research in Engineering Productivity in the Architecture, Engineering, and Construction o(AEC) Industry”, Proceedings of the Design Society, 1, 201–210. https://doi.org/10.1017/pds.2021.21CrossRefGoogle Scholar
Wong, Y. Y. B., Joyce, S. C. and Blessing, L. (2021b) “Selecting Building Design Process Modelling Approaches: A Review”, Proceedings of the Design Society. https://doi.org/10.1017/pds.2022.8CrossRefGoogle Scholar
Wynn, D. C. and Clarkson, P. J. (2018) “Process models in design and development”, Research in Engineering Design, 29(2), 161–202. https://doi.org/10.1007/s00163-017-0262-7CrossRefGoogle Scholar