Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction

Mehrdad Arashpour, Vineet Kamat, Yu Bai, Ron Wakefield, Babak Abbasi

Research output: Contribution to journalArticleResearchpeer-review

Abstract

In advanced manufacturing of building elements, process integration and utilization of multi-skilled resources enhance the flexibility of production networks against variations in demand and resource availability. This research study aims to incorporate the required cost and time for cross-training multi-skilled resources into resource planning computations. Towards this aim, minimizing the cost of utilizing multi-skilled resources in off-site construction is formulated using integer and probabilistic optimization models. Production data of two prefabrication networks in Brisbane and Melbourne, Australia are used to derive computational results and validate models. The main contribution of this research study is to analyze the costeffectiveness of deploying multi-skilled resources with the aim of improving production flexibility. The modeling methodology and findings are of practical use to off-site manufacturers that experience variations in production demand and resource availability.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalAutomation in Construction
Volume95
DOIs
Publication statusPublished - 1 Nov 2018

Keywords

  • Agile workforce
  • Cost modeling
  • Cross-training resources
  • Integer and linear programming
  • Performance measures
  • Prefabricated building elements
  • Project management
  • Resource planning theory
  • Skill-chaining
  • Workflow variance

Cite this

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title = "Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction",
abstract = "In advanced manufacturing of building elements, process integration and utilization of multi-skilled resources enhance the flexibility of production networks against variations in demand and resource availability. This research study aims to incorporate the required cost and time for cross-training multi-skilled resources into resource planning computations. Towards this aim, minimizing the cost of utilizing multi-skilled resources in off-site construction is formulated using integer and probabilistic optimization models. Production data of two prefabrication networks in Brisbane and Melbourne, Australia are used to derive computational results and validate models. The main contribution of this research study is to analyze the costeffectiveness of deploying multi-skilled resources with the aim of improving production flexibility. The modeling methodology and findings are of practical use to off-site manufacturers that experience variations in production demand and resource availability.",
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Optimization modeling of multi-skilled resources in prefabrication : Theorizing cost analysis of process integration in off-site construction. / Arashpour, Mehrdad; Kamat, Vineet; Bai, Yu; Wakefield, Ron; Abbasi, Babak.

In: Automation in Construction, Vol. 95, 01.11.2018, p. 1-9.

Research output: Contribution to journalArticleResearchpeer-review

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T2 - Theorizing cost analysis of process integration in off-site construction

AU - Arashpour, Mehrdad

AU - Kamat, Vineet

AU - Bai, Yu

AU - Wakefield, Ron

AU - Abbasi, Babak

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