Optimizing decisions in advanced manufacturing of prefabricated products: Theorizing supply chain configurations in off-site construction

Mehrdad Arashpour, Yu Bai, Guillermo Aranda-mena, Alireza Bab-Hadiashar, Reza Hosseini, Pushpitha Kalutara

Research output: Contribution to journalArticleResearchpeer-review

38 Citations (Scopus)


Robust supply decision making is critical to the advanced manufacturing of prefabricated products. Previous related research focused on minimizing cost overruns in off-site construction supply networks by optimizing purchasing decisions. However, decision parameters such as strategic preferences to include or exclude certain suppliers and utilization of multi-supplier configurations are yet to be formulated and analytically solved. The proposed optimization models aim to enhance supply network performance with a smaller overall investment. Toward this aim, three research hypotheses on optimization of supply decisions and configurations are developed and tested. A real-world precast panel production project serves as the test bed to demonstrate the effectiveness of the mathematical programming and analyze cost implications of supply related decisions. The modeling method and results contribute to optimal decision making in advanced manufacturing of prefabricated products.

Original languageEnglish
Pages (from-to)146-153
Number of pages8
JournalAutomation in Construction
Publication statusPublished - 1 Dec 2017


  • Advanced manufacturing
  • Binary or zero-one programming
  • Composite
  • Construction project management
  • Decision support systems
  • Linear modeling theory
  • Network configuration
  • Prefabricated building products
  • Supply chain management
  • Uncertain reliability

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