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Simulation-based optimization approach for simultaneous scheduling of vehicles and machines with processing time uncertainty in FMS

Author

Listed:
  • James T. Lin

    (National Tsing Hua University)

  • Chun-Chih Chiu

    (National Tsing Hua University)

  • Yu-Hsiang Chang

    (National Tsing Hua University)

Abstract

Many stochastic factors, such as vehicle congestion, deadlock or conflict, or stochastic processing time have significant effects on performance in scheduling problem in flexible manufacturing system (FMS). This paper proposed a simulation-based optimization, L-GAOCBA, to address the simultaneous scheduling of vehicles and machines in FMS. The simulation model is constructed to evaluate the performance of scheduling decision, and includes stochastic elements, such as vehicle congestion, deadlock, and uncertain processing time. Genetic algorithm (GA) combined with local search, L-GA, plays important role in exploring the good design alternative based on simulation output. Optimal computing budget allocation (OCBA) embedded with L-GA is used to allocate the number of replications for reducing simulation replications. The design of experiments is used to analyze and set the parameters of L-GA and OCBA. This study shows that L-GAOCBA is superior for enhancing solution quality and search efficiency.

Suggested Citation

  • James T. Lin & Chun-Chih Chiu & Yu-Hsiang Chang, 2019. "Simulation-based optimization approach for simultaneous scheduling of vehicles and machines with processing time uncertainty in FMS," Flexible Services and Manufacturing Journal, Springer, vol. 31(1), pages 104-141, March.
    • Handle: RePEc:spr:flsman:v:31:y:2019:i:1:d:10.1007_s10696-017-9302-x
    DOI: 10.1007/s10696-017-9302-x
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    References listed on IDEAS

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    1. Ümit Bilge & Gündüz Ulusoy, 1995. "A Time Window Approach to Simultaneous Scheduling of Machines and Material Handling System in an FMS," Operations Research, INFORMS, vol. 43(6), pages 1058-1070, December.
    2. Lacomme, Philippe & Larabi, Mohand & Tchernev, Nikolay, 2013. "Job-shop based framework for simultaneous scheduling of machines and automated guided vehicles," International Journal of Production Economics, Elsevier, vol. 143(1), pages 24-34.
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    Cited by:

    1. Andrea Maria Zanchettin, 2022. "Robust scheduling and dispatching rules for high-mix collaborative manufacturing systems," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 293-316, June.
    2. Kaustav Kundu & Martin J. Land & Alberto Portioli-Staudacher & Jos A. C. Bokhorst, 2021. "Order review and release in make-to-order flow shops: analysis and design of new methods," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 750-782, September.

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