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Bi-objective optimization for a two-depot automated storage/retrieval system

Author

Listed:
  • Xiaoyi Man

    (Donghua University
    Univ Évry, University of Paris-Saclay)

  • Feifeng Zheng

    (Donghua University)

  • Feng Chu

    (Fuzhou University
    Univ Évry, University of Paris-Saclay)

  • Ming Liu

    (Tongji University)

  • Yinfeng Xu

    (Donghua University)

Abstract

Operation management of automated storage and retrieval system (AS/RS) has a great impact on system performance and is a hot research topic. Most existing works for AS/RS operation management address determining storage and retrieval (S/R) machine sequence and minimizing its travel time. In the paper, we study a new bi-objective S/R machine sequencing problem with task release time and due date in a two-depot AS/RS. The objective is to minimize the total travel time of the S/R machine and the total tardiness simultaneously. For the problem, a new bi-objective mixed integer linear programming model is established. Based on problem property analysis, an exact $$\epsilon $$ ϵ -constraint method, a non-dominated sorting genetic algorithm II and a promising heuristic are devised for the problem. Especially, the computational results show the efficiency and effectiveness of the proposed algorithms.

Suggested Citation

  • Xiaoyi Man & Feifeng Zheng & Feng Chu & Ming Liu & Yinfeng Xu, 2021. "Bi-objective optimization for a two-depot automated storage/retrieval system," Annals of Operations Research, Springer, vol. 296(1), pages 243-262, January.
    • Handle: RePEc:spr:annopr:v:296:y:2021:i:1:d:10.1007_s10479-019-03222-1
    DOI: 10.1007/s10479-019-03222-1
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    References listed on IDEAS

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