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Optimization of production scheduling in two stage Flow Shop Scheduling problem with m equipotential machines at first stage

Author

Listed:
  • Deepak Gupta

    (Maharishi Markandeshwar (Deemed To Be University))

  • Sonia Goel

    (Maharishi Markandeshwar (Deemed To Be University))

  • Neeraj Mangla

    (Maharishi Markandeshwar (Deemed To Be University))

Abstract

Scheduling jobs on equipotential machines is an activity that is very much a part of industrial scheduling. This research reports a methodology for minimizing the make span and operating cost of machineries in flow shop scheduling problem with m-equipotential machineries at first stage in addition single machine at second stage. In our research, we develop an algorithm for finding the optimal schedule for two stage flow shop scheduling problem using branch and bound technique. Modified distribution method is applied to find the optimum allocation of processing time of jobs to equipotential machines. The procedure helps the manager to reduce the time of manufacturing and overall production cost.

Suggested Citation

  • Deepak Gupta & Sonia Goel & Neeraj Mangla, 2022. "Optimization of production scheduling in two stage Flow Shop Scheduling problem with m equipotential machines at first stage," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1162-1169, June.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:3:d:10.1007_s13198-021-01411-5
    DOI: 10.1007/s13198-021-01411-5
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    References listed on IDEAS

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    1. Shijin Wang & Ming Liu & Chengbin Chu, 2015. "A branch-and-bound algorithm for two-stage no-wait hybrid flow-shop scheduling," International Journal of Production Research, Taylor & Francis Journals, vol. 53(4), pages 1143-1167, February.
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    8. Gmys, Jan & Mezmaz, Mohand & Melab, Nouredine & Tuyttens, Daniel, 2020. "A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 284(3), pages 814-833.
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