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Multi-objective optimization of dual resource integrated scheduling problem of production equipment and RGVs considering conflict-free routing

Author

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  • Qinglei Zhang
  • Jing Hu
  • Zhen Liu
  • Jianguo Duan

Abstract

In flexible job shop scheduling problem (FJSP), the collision of bidirectional rail guided vehicles (RGVs) directly affects RGVs scheduling, and it is closely coupled with the allocation of production equipment, which directly affects the production efficiency. In this problem, taking minimizing the maximum completion time of RGVs and minimizing the maximum completion time of products as multi-objectives a dual-resource integrated scheduling model of production equipment and RGVs considering conflict-free routing problem (CFRP) is proposed. To solve the model, a multi-objective improved discrete grey wolf optimizer (MOID-GWO) is designed. Further, the performance of popular multi-objective evolutionary algorithms (MOEAs) such as NSGA-Ⅱ, SPEA2 and MOPSO are selected for comparative test. The results show that, among 42 instances of different scales designed, 37, 34 and 28 instances in MOID-GWO are superior to the comparison algorithms in metrics of generational distance (GD), inverted GD (IGD) and Spread, respectively. Moreover, in metric of Convergence and Diversity (CD), the Pareto frontier (PF) obtained by MOID-GWO is closer to the optimal solution. Finally, taking the production process of a construction machinery equipment component as an example, the validity and feasibility of the model and algorithm are verified.

Suggested Citation

  • Qinglei Zhang & Jing Hu & Zhen Liu & Jianguo Duan, 2024. "Multi-objective optimization of dual resource integrated scheduling problem of production equipment and RGVs considering conflict-free routing," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-30, January.
    • Handle: RePEc:plo:pone00:0297139
    DOI: 10.1371/journal.pone.0297139
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    References listed on IDEAS

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    1. Yaser Kaboudani & Seyyed Hassan Ghodsypour & Hamidreza Kia & Amin Shahmardan, 2020. "Vehicle routing and scheduling in cross docks with forward and reverse logistics," Operational Research, Springer, vol. 20(3), pages 1589-1622, September.
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    Cited by:

    1. Jian Kong & Jinsong Li & Peng Li, 2024. "Optimization of chaotic light output in semiconductor laser systems based on multi-objective optimization algorithm," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-23, April.

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