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Collaborative Scheduling of On-Site and Off-Site Operations in Prefabrication

Author

Listed:
  • Wei Chen

    (Department of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Ying Zhao

    (Department of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Yangqing Yu

    (Department of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China)

  • Kaiman Chen

    (Department of Art and Science, University of Toronto, Toronto, ON M5S 1A1, Canada)

  • Mehrdad Arashpour

    (Department of Civil Engineering, Monash University, Melbourne, VIC 3800, Australia)

Abstract

As a kind of sustainable technology, prefabricated construction has increasingly gained momentum internationally due to its numerous benefits that include, but are not limited to, safe construction, waste minimization, quality improvement, and productivity enhancement. However, productivity in this domain is reliant on the efficiency of both on-site and off-site operations. On this basis, focusing on collaborative scheduling mechanisms, the current paper develops a static scheduling model and a dynamic scheduling model in prefabricated construction, and uses a simulated annealing algorithm (SA) to settle the optimization of operation planning considering delays by risks. The developed models are validated using data from a construction project with multiple suppliers of prefabricated elements. This study contributes to the body of knowledge in prefabricated construction management by streamlining collaborative scheduling in prefabrication. The established models provide construction managers with decision support systems with the aims of minimizing delays and related cost overruns.

Suggested Citation

  • Wei Chen & Ying Zhao & Yangqing Yu & Kaiman Chen & Mehrdad Arashpour, 2020. "Collaborative Scheduling of On-Site and Off-Site Operations in Prefabrication," Sustainability, MDPI, vol. 12(21), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9266-:d:441602
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    References listed on IDEAS

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    Cited by:

    1. Boda Liu & Bin Yang & Jianzhuang Xiao & Dayu Zhu & Binghan Zhang & Zhichen Wang & Miaosi Dong, 2021. "Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    2. Mohamed Hussein & Abdelrahman E. E. Eltoukhy & Amos Darko & Amr Eltawil, 2021. "Simulation-Optimization for the Planning of Off-Site Construction Projects: A Comparative Study of Recent Swarm Intelligence Metaheuristics," Sustainability, MDPI, vol. 13(24), pages 1-41, December.
    3. Claudio Szwarcfiter & Yale T. Herer & Avraham Shtub, 2024. "Shortening the project schedule: solving multimode chance-constrained critical chain buffer management using reinforcement learning," Annals of Operations Research, Springer, vol. 337(2), pages 565-592, June.

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