Performance and cost comparative analysis for M/G/1 repairable machining system with N-policy vacation

Rakesh Kumar Meena, Madhu Jain, Assif Assad, Rachita Sethi and Deepika Garg

Mathematics and Computers in Simulation (MATCOM), 2022, vol. 200, issue C, 315-328

Abstract: The present article presents the performance analysis of a non-Markovian machining system comprised of operating and standby machines together and functioning under N-policy for vacation. The prime motive of this investigation is to schedule the repairman’s vacation policy to return to the repair job as soon as the workload reaches a pre-defined threshold. The supplementary variable approach (SVT) is employed to establish the system steady-state probabilities, which are used to predict the other performance indices. The numerical illustrations have been provided to verify the outcomes of the proposed analytical model. For the design of optimal parameters at the minimum cost, numerical results are also provided using metaheuristic particle swarm optimization and genetic algorithm techniques

Keywords: Machine repair problem; Optimal policy; M/G/1 queue; Supplementary variable technique; Particle swarm optimization; Genetic algorithm (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:200:y:2022:i:c:p:315-328

DOI: 10.1016/j.matcom.2022.04.012

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