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Reliability-based maintenance and job scheduling for identical parallel machines

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  • R. Jamshidi
  • Mir Mehdi Seyyed Esfahani

Abstract

Quality has an important role in manufacturing, and on the other hand, machine condition has a significant effect on quality. Based on this fact, all manufacturers integrate the production scheduling with maintenance activities to keep the machines in perfect conditions. In this paper, we propose a mixed integer nonlinear model to optimise the quality cost, maintenance cost, earliness–tardiness cost and interruption cost simultaneously. We assume that if machines work in undesirable conditions, their quality is reduced, resulting in quality cost. On the other hand, if the machines are repaired to decrease the quality cost, maintenance cost and other cost such as earliness–tardiness cost and interruption cost are imposed to the manufacturer. Several numerical instances are implemented by the proposed model to show the model effectiveness to obtain the best maintenance and production scheduling with minimum quality cost.

Suggested Citation

  • R. Jamshidi & Mir Mehdi Seyyed Esfahani, 2015. "Reliability-based maintenance and job scheduling for identical parallel machines," International Journal of Production Research, Taylor & Francis Journals, vol. 53(4), pages 1216-1227, February.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:4:p:1216-1227
    DOI: 10.1080/00207543.2014.951739
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    Cited by:

    1. Azimpoor, Samareh & Taghipour, Sharareh & Farmanesh, Babak & Sharifi, Mani, 2022. "Joint Planning of Production and Inspection of Parallel Machines with Two-phase of Failure," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    2. Yuzhakov, Vladimir Nikolaevich (Южаков, Владимир Николаевич) & Talapina, E. V. (Талапина, Э. В.) & Alexandrov, Oleg (Александров, Олег) & Tikhomirov, Y. A. (Тихомиров, Ю. А.) & Dobrolyubova, Elena (До, 2015. "The Concept of the Federal Law on Public Administration in the Russian Federation [Концепция Федерального Закона О Государственном Управлении В Российской Федерации]," Published Papers om30, Russian Presidential Academy of National Economy and Public Administration.
    3. Zhong-Zhong Jiang & Na He & Xuwei Qin & Minghe Sun & Pengfei Wang, 2022. "Optimizing production and maintenance for the service-oriented manufacturing supply chain," Annals of Operations Research, Springer, vol. 316(1), pages 33-58, September.

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