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A Distributed Blocking Flowshop Scheduling with Setup Times Using Multi-Factory Collaboration Iterated Greedy Algorithm

Author

Listed:
  • Chenyao Zhang

    (School of Computer Science, Liaocheng University, Liaocheng 252059, China)

  • Yuyan Han

    (School of Computer Science, Liaocheng University, Liaocheng 252059, China)

  • Yuting Wang

    (School of Computer Science, Liaocheng University, Liaocheng 252059, China)

  • Junqing Li

    (School of Computer Science, Shandong Normal University, Jinan 252000, China)

  • Kaizhou Gao

    (Macau Institute of Systems Engineering, Macau University of Science and Technology, Macau 999078, China)

Abstract

As multi-factory production models are more widespread in modern manufacturing systems, a distributed blocking flowshop scheduling problem (DBFSP) is studied in which no buffer between adjacent machines and setup time constraints are considered. To address the above problem, a mixed integer linear programming (MILP) model is first constructed, and its correctness is verified. Then, an iterated greedy-algorithm-blending multi-factory collaboration mechanism (mIG) is presented to optimize the makespan criterion. In the mIG algorithm, a rapid evaluation method is designed to reduce the time complexity, and two different iterative processes are selected by a certain probability. In addition, collaborative interactions between cross-factory and inner-factory are considered to further improve the exploitation and exploration of mIG. Finally, the 270 tests showed that the average makespan and RPI values of mIG are 1.93% and 78.35% better than the five comparison algorithms on average, respectively. Therefore, mIG is more suitable to solve the studied DBFSP_SDST.

Suggested Citation

  • Chenyao Zhang & Yuyan Han & Yuting Wang & Junqing Li & Kaizhou Gao, 2023. "A Distributed Blocking Flowshop Scheduling with Setup Times Using Multi-Factory Collaboration Iterated Greedy Algorithm," Mathematics, MDPI, vol. 11(3), pages 1-25, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:581-:d:1043873
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    References listed on IDEAS

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