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A simulated multi-objective model for flexible job shop transportation scheduling

Author

Listed:
  • Yiyi Xu

    (CESI-LINEACT laboratory
    Neoma Business School)

  • M’hammed Sahnoun

    (CESI-LINEACT laboratory)

  • Fouad Ben Abdelaziz

    (Neoma Business School)

  • David Baudry

    (CESI-LINEACT laboratory)

Abstract

This paper proposes a new dynamic algorithm based on simulation approach and multi-objective optimization to solve the FJSP with transportation assignment. The objectives considered in scheduling jobs and transportation tasks in a flexible job shop manufacturing system include makespan, robot travel distance, time difference with due date and critical waiting time. The results obtained from the computational experiments have shown that the proposed approach is efficient and competitive.

Suggested Citation

  • Yiyi Xu & M’hammed Sahnoun & Fouad Ben Abdelaziz & David Baudry, 2022. "A simulated multi-objective model for flexible job shop transportation scheduling," Annals of Operations Research, Springer, vol. 311(2), pages 899-920, April.
    • Handle: RePEc:spr:annopr:v:311:y:2022:i:2:d:10.1007_s10479-020-03600-0
    DOI: 10.1007/s10479-020-03600-0
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