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Minimizing Makespan in A Two-Machine Flowshop Problem with Processing Time Linearly Dependent on Job Waiting Time

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  • Dar-Li Yang

    (Department of Information Management, National Formosa University, Yun-Lin 632, Taiwan
    Smart Machine and Intelligent Manufacturing Research Center, National Formosa University, Yun-Lin 632, Taiwan)

  • Wen-Hung Kuo

    (Department of Information Management, National Formosa University, Yun-Lin 632, Taiwan)

Abstract

This paper is aimed at studying a two-machine flowshop scheduling where the processing times are linearly dependent on the waiting times of the jobs prior to processing on the second machine. That is, when a job is processed completely on the first machine, a certain delay time is required before its processing on the second machine. If we would like to reduce the actual waiting time, the processing time of the job on the second machine increases. The objective is to minimize the makespan. When the processing time is reduced, it implies that the consumption of energy is reduced. It is beneficial to environmental sustainability. We show that the proposed problem is NP-hard in the strong sense. A 0-1 mixed integer programming and a heuristic algorithm with computational experiment are proposed. Some cases solved in polynomial time are also provided.

Suggested Citation

  • Dar-Li Yang & Wen-Hung Kuo, 2019. "Minimizing Makespan in A Two-Machine Flowshop Problem with Processing Time Linearly Dependent on Job Waiting Time," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:6885-:d:293935
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    Cited by:

    1. Bharat Goyal & Sukhmandeep Kaur & Deepak Gupta, 2024. "A heuristic approach to minimizing the waiting time of jobs in two stage flow shop scheduling," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(1), pages 175-191.

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