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Multi-objective parallel machine scheduling problems by considering controllable processing times

Author

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  • Cheng-Hsiang Liu

    (National Pingtung University of Science and Technology, Neipu, Taiwan)

  • Wan-Ni Tsai

    (National Pingtung University of Science and Technology, Neipu, Taiwan)

Abstract

This study examines parallel machine scheduling problems with controllable processing times. The processing time of each job can be between lower and upper bounds, and a cost is associated with the processing of a job on a machine. The processing time of a job can be decreased, which may lower the cycle time, although doing so would incur additional costs. This study develops two multi-objective mathematical models, which consist of two and three inconsistent objective functions, respectively. The first model minimizes the total manufacturing cost (TMC) and the total weighted tardiness (TWT) simultaneously, while the second uses makespan (Cmax as an additional objective function typically improves TWT and worsens TMC.

Suggested Citation

  • Cheng-Hsiang Liu & Wan-Ni Tsai, 2016. "Multi-objective parallel machine scheduling problems by considering controllable processing times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(4), pages 654-663, April.
  • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:4:p:654-663
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    Cited by:

    1. Prasit Kailomsom & Charoenchai Khompatraporn, 2023. "A Multi-Objective Optimization Model for Multi-Facility Decisions of Infectious Waste Transshipment and Disposal," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Rui Zhang, 2017. "Sustainable Scheduling of Cloth Production Processes by Multi-Objective Genetic Algorithm with Tabu-Enhanced Local Search," Sustainability, MDPI, vol. 9(10), pages 1-26, September.

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