A new approach for modelling variability in residential construction projects

Mehrdad Arashpour, Ron Wakefield, Nick Blismas, Eric Wai Ming Lee

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The construction industry is plagued by long cycle times caused by variability in the supply chain. Variations or undesirable situations are the result of factors such as non-standard practices, work site accidents, inclement weather conditions and faults in design. This paper uses a new approach for modelling variability in construction by linking relative variability indicators to processes. The mass homebuilding sector was chosen as the scope of the analysis because data is readily available. Numerous simulation experiments were designed by varying size of capacity buffers in front of trade contractors, availability of trade contractors, and level of variability in homebuilding processes. The measurements were shown to lead to an accurate determination of relationships between these factors and production parameters. The variability indicator was found to dramatically affect the tangible performance measures such as home completion rates. This study provides for future analysis of the production homebuilding sector, which may lead to improvements in performance and a faster product delivery to homebuyers.

Original languageEnglish
Pages (from-to)83-92
Number of pages10
JournalAustralasian Journal of Construction Economics and Building
Volume13
Issue number2
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Computer simulaion
  • Optimim level of work-in-process inventory
  • Production
  • Project management
  • Queuing
  • Residential construction
  • Variability in supply chain

Cite this

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A new approach for modelling variability in residential construction projects. / Arashpour, Mehrdad; Wakefield, Ron; Blismas, Nick; Lee, Eric Wai Ming.

In: Australasian Journal of Construction Economics and Building, Vol. 13, No. 2, 2013, p. 83-92.

Research output: Contribution to journalArticleResearchpeer-review

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