IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p9266-d441602.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/9266/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/21/9266/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gonçalves, J.F. & Mendes, J.J.M. & Resende, M.G.C., 2008. "A genetic algorithm for the resource constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1171-1190, September.
    2. Gómez Sánchez, Mariam & Lalla-Ruiz, Eduardo & Fernández Gil, Alejandro & Castro, Carlos & Voß, Stefan, 2023. "Resource-constrained multi-project scheduling problem: A survey," European Journal of Operational Research, Elsevier, vol. 309(3), pages 958-976.
    3. Yangyang Liang & Nanfang Cui & Tian Wang & Erik Demeulemeester, 2019. "Robust resource-constrained max-NPV project scheduling with stochastic activity duration," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(1), pages 219-254, March.
    4. Browning, Tyson R. & Yassine, Ali A., 2010. "Resource-constrained multi-project scheduling: Priority rule performance revisited," International Journal of Production Economics, Elsevier, vol. 126(2), pages 212-228, August.
    5. Wendi Tian & Erik Demeulemeester, 2014. "Railway scheduling reduces the expected project makespan over roadrunner scheduling in a multi-mode project scheduling environment," Annals of Operations Research, Springer, vol. 213(1), pages 271-291, February.
    6. Morteza Davari & Erik Demeulemeester, 2019. "The proactive and reactive resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 22(2), pages 211-237, April.
    7. Yan Zhao & Nanfang Cui & Wendi Tian, 2020. "A two-stage approach for the critical chain project rescheduling," Annals of Operations Research, Springer, vol. 285(1), pages 67-95, February.
    8. Anıl Can & Gündüz Ulusoy, 2014. "Multi-project scheduling with two-stage decomposition," Annals of Operations Research, Springer, vol. 217(1), pages 95-116, June.
    9. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    10. Xiang Chu & Qiu-Yan Zhong & Shahid G. Khokhar, 2015. "Triage Scheduling Optimization for Mass Casualty and Disaster Response," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 32(06), pages 1-20, December.
    11. Krüger, Doreen & Scholl, Armin, 2009. "A heuristic solution framework for the resource constrained (multi-)project scheduling problem with sequence-dependent transfer times," European Journal of Operational Research, Elsevier, vol. 197(2), pages 492-508, September.
    12. Wuliang Peng & Jiali lin & Jingwen Zhang & Liangwei Chen, 2022. "A bi-objective hierarchical program scheduling problem and its solution based on NSGA-III," Annals of Operations Research, Springer, vol. 308(1), pages 389-414, January.
    13. Lova, Antonio & Maroto, Concepcion & Tormos, Pilar, 2000. "A multicriteria heuristic method to improve resource allocation in multiproject scheduling," European Journal of Operational Research, Elsevier, vol. 127(2), pages 408-424, December.
    14. Kolisch, Rainer, 1998. "Integrated scheduling, assembly area- and part-assignment for large scale, make-to-order assemblies," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 468, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    15. Hongbo Li & Erik Demeulemeester, 2016. "A genetic algorithm for the robust resource leveling problem," Journal of Scheduling, Springer, vol. 19(1), pages 43-60, February.
    16. HazIr, Öncü & Haouari, Mohamed & Erel, Erdal, 2010. "Robust scheduling and robustness measures for the discrete time/cost trade-off problem," European Journal of Operational Research, Elsevier, vol. 207(2), pages 633-643, December.
    17. Bruni, M.E. & Di Puglia Pugliese, L. & Beraldi, P. & Guerriero, F., 2017. "An adjustable robust optimization model for the resource-constrained project scheduling problem with uncertain activity durations," Omega, Elsevier, vol. 71(C), pages 66-84.
    18. Briskorn, Dirk & Leung, Joseph & Pinedo, Michael, 2008. "Robust scheduling on a single machine usinge time buffers," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 639, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    19. Xue Li & Zhengwen He & Nengmin Wang & Mario Vanhoucke, 2022. "Multimode time-cost-robustness trade-off project scheduling problem under uncertainty," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1173-1202, July.
    20. Said, Samer S. & Haouari, Mohamed, 2015. "A hybrid simulation-optimization approach for the robust Discrete Time/Cost Trade-off Problem," Applied Mathematics and Computation, Elsevier, vol. 259(C), pages 628-636.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9266-:d:441602. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.