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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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    1. Weiping Jiang & Lirong Luo & Zezhou Wu & Jianbo Fei & Maxwell Fordjour Antwi-Afari & Tao Yu, 2019. "An Investigation of the Effectiveness of Prefabrication Incentive Policies in China," Sustainability, MDPI, vol. 11(19), pages 1-24, September.
    2. Fred Edmond Boafo & Jin-Hee Kim & Jun-Tae Kim, 2016. "Performance of Modular Prefabricated Architecture: Case Study-Based Review and Future Pathways," Sustainability, MDPI, vol. 8(6), pages 1-16, June.
    3. Pan Gong & Yue Teng & Xiao Li & Lizi Luo, 2019. "Modeling Constraints for the On-Site Assembly Process of Prefabrication Housing Production: A Social Network Analysis," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    4. Lawrence, Stephen R. & Morton, Thomas E., 1993. "Resource-constrained multi-project scheduling with tardy costs: Comparing myopic, bottleneck, and resource pricing heuristics," European Journal of Operational Research, Elsevier, vol. 64(2), pages 168-187, January.
    5. Van de Vonder, Stijn & Demeulemeester, Erik & Herroelen, Willy & Leus, Roel, 2005. "The use of buffers in project management: The trade-off between stability and makespan," International Journal of Production Economics, Elsevier, vol. 97(2), pages 227-240, August.
    6. Lambrechts, Olivier & Demeulemeester, Erik & Herroelen, Willy, 2008. "A tabu search procedure for developing robust predictive project schedules," International Journal of Production Economics, Elsevier, vol. 111(2), pages 493-508, February.
    7. Leung, T. W. & Chan, Chi Kin & Troutt, Marvin D., 2003. "Application of a mixed simulated annealing-genetic algorithm heuristic for the two-dimensional orthogonal packing problem," European Journal of Operational Research, Elsevier, vol. 145(3), pages 530-542, March.
    8. Mohanty, R. P. & Siddiq, M. K., 1989. "Multiple projects -- Multiple resources constrained scheduling: A multiobjective analysis," Engineering Costs and Production Economics, Elsevier, vol. 18(1), pages 83-92, October.
    9. Tsubakitani, Shigeru & Deckro, Richard F., 1990. "A heuristic for multi-project scheduling with limited resources in the housing industry," European Journal of Operational Research, Elsevier, vol. 49(1), pages 80-91, November.
    10. Herroelen, Willy & Leus, Roel, 2004. "The construction of stable project baseline schedules," European Journal of Operational Research, Elsevier, vol. 156(3), pages 550-565, August.
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    Cited by:

    1. 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.
    2. 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.

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