Integrated Scheduling of the Production and Maintenance of Parallel Machine Job-shop Considering Stochastic Machine Breakdowns

Journal Title: Journal of Engineering Management and Systems Engineering - Year 2022, Vol 1, Issue 1

Abstract

The integrated scheduling of production and maintenance can make equipment maintenance in line with the production pace, so as to effectively prevent anormal interruptions of the production process due to equipment failure, and ensure the smooth implementation of the production scheduling plan. Aiming at the parallel machine job-shop environment, and considering stochastic machine failures and different degradation speeds of parallel machines, this paper introduced the minimal maintenance and preventive maintenance strategies to establish an integrated scheduling model for production and maintenance, designed a genetic algorithm based on process coding and binary hybrid coding to solve the model, and verified the correctness of the proposed model and the effectiveness of the algorithm through an instance. This study provided an effective decision-making method for parallel machine job-shop scheduling problems.

Authors and Affiliations

Zhiyuan Zhao, Qilong Yuan

Keywords

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  • EP ID EP731828
  • DOI 10.56578/jemse010103
  • Views 47
  • Downloads 0

How To Cite

Zhiyuan Zhao, Qilong Yuan (2022). Integrated Scheduling of the Production and Maintenance of Parallel Machine Job-shop Considering Stochastic Machine Breakdowns. Journal of Engineering Management and Systems Engineering, 1(1), -. https://europub.co.uk/articles/-A-731828