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

Deepak Gupta, Sonia Goel and Neeraj Mangla ()
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Deepak Gupta: Maharishi Markandeshwar (Deemed To Be University)
Sonia Goel: Maharishi Markandeshwar (Deemed To Be University)
Neeraj Mangla: Maharishi Markandeshwar (Deemed To Be University)

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 3, No 10, 1162-1169

Abstract: 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.

Keywords: Flow shop scheduling; Equipotential machines; Optimization; Elapse time; Operational cost (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01411-5

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