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Evolutionary resource assignment for workload-based production scheduling

Author

Listed:
  • Ilkyeong Moon

    (Seoul National University)

  • Sanghyup Lee

    (Hyundai Heavy Industries Co. LTD.)

  • Moonsoo Shin

    (Hanbat National University)

  • Kwangyeol Ryu

    (Pusan National University)

Abstract

In this paper, we propose an evolutionary method with a simulation model for scheduling jobs including operations specified in terms of workload rather than processing time. It is suggested that processing times should be determined according to the number of assigned resources rather than the workload. The simulation model is used to estimate the result of resource allocation in a time horizon based on preselected rules. The evolutionary methods improve a production schedule in terms of compliance with due dates by selecting an alternative resource allocation rule and changing timing constraints. The results of computational experiments show that compliance with due dates improved by as much as 30 % under the modified production schedule over the initial schedule.

Suggested Citation

  • Ilkyeong Moon & Sanghyup Lee & Moonsoo Shin & Kwangyeol Ryu, 2016. "Evolutionary resource assignment for workload-based production scheduling," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 375-388, April.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:2:d:10.1007_s10845-014-0870-2
    DOI: 10.1007/s10845-014-0870-2
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    References listed on IDEAS

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