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Developing a Flexible Manufacturing Control System Considering Mixed Uncertain Predictive Maintenance Model: a Simulation-Based Optimization Approach

Author

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  • Behrooz Shahbazi

    (Islamic Azad University)

  • Seyed Habib A. Rahmati

    (Islamic Azad University)

Abstract

Nowadays, with the development of information technology infrastructure, most systems are moving towards intelligent models, among which the field of production is no exception. One of the important sketch of production models is in term of predictive maintenance control systems such as reliability centered maintenance (RCM). This research focuses on developing a popular flexible manufacturing system called flexible job shop scheduling problem (FJSP) with predictive maintenance terms of RCM that are able to measure the level of production system reliability and determine the required maintenance activities. Moreover, since in production environments, processing time is an approximate parameter due to the activities in which manpower is involved, processing times of the model are defined with fuzzy functions. Meanwhile, to cope with stochastic nature of RCM and fuzzy nature of the process times, Buckley fuzzy numbers are implemented. In fact, this research introduces a mixed uncertain model that considers mentioned natures of probability and possibility at the same time by means developing fuzzy numbers of process time thorough confidence intervals of them. Then, since developed model is NP-Hard and stochastic, two simulation-based optimization (SBO) approaches are introduced based on two meta-heuristic algorithms called genetic algorithm (GA) and imperialist competition algorithm (ICA). Finally, various creative statistical and qualitative outputs are presented to analysis the performance of the introduced SBOs for solving the developed FJSP integrated with RCM control terms.

Suggested Citation

  • Behrooz Shahbazi & Seyed Habib A. Rahmati, 2021. "Developing a Flexible Manufacturing Control System Considering Mixed Uncertain Predictive Maintenance Model: a Simulation-Based Optimization Approach," SN Operations Research Forum, Springer, vol. 2(4), pages 1-43, December.
    • Handle: RePEc:spr:snopef:v:2:y:2021:i:4:d:10.1007_s43069-021-00098-5
    DOI: 10.1007/s43069-021-00098-5
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    References listed on IDEAS

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    1. Caballé, N.C. & Castro, I.T. & Pérez, C.J. & Lanza-Gutiérrez, J.M., 2015. "A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 98-109.
    2. Toshio Nakagawa, 2007. "Shock and Damage Models in Reliability Theory," Springer Series in Reliability Engineering, Springer, number 978-1-84628-442-7, June.
    3. Aggoune, Riad, 2004. "Minimizing the makespan for the flow shop scheduling problem with availability constraints," European Journal of Operational Research, Elsevier, vol. 153(3), pages 534-543, March.
    4. Chen, Jen-Shiang, 2008. "Scheduling of nonresumable jobs and flexible maintenance activities on a single machine to minimize makespan," European Journal of Operational Research, Elsevier, vol. 190(1), pages 90-102, October.
    5. Mostafa Khatami & Seyed Hessameddin Zegordi, 2017. "Coordinative production and maintenance scheduling problem with flexible maintenance time intervals," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 857-867, April.
    6. Mellouli, Racem & Sadfi, Chrif & Chu, Chengbin & Kacem, Imed, 2009. "Identical parallel-machine scheduling under availability constraints to minimize the sum of completion times," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1150-1165, September.
    7. Pan, Quan-Ke & Wang, Ling & Li, Jun-Qing & Duan, Jun-Hua, 2014. "A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation," Omega, Elsevier, vol. 45(C), pages 42-56.
    8. Zhou, Xiaojun & Lu, Zhiqiang & Xi, Lifeng, 2012. "Preventive maintenance optimization for a multi-component system under changing job shop schedule," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 14-20.
    9. Gregory H. Graves & Chung‐Yee Lee, 1999. "Scheduling maintenance and semiresumable jobs on a single machine," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(7), pages 845-863, October.
    10. Zribi, N. & El Kamel, A. & Borne, P., 2008. "Minimizing the makespan for the MPM job-shop with availability constraints," International Journal of Production Economics, Elsevier, vol. 112(1), pages 151-160, March.
    11. Liao, Lu-Wen & Sheen, Gwo-Ji, 2008. "Parallel machine scheduling with machine availability and eligibility constraints," European Journal of Operational Research, Elsevier, vol. 184(2), pages 458-467, January.
    12. Chung‐Yee Lee & Zhi‐Long Chen, 2000. "Scheduling jobs and maintenance activities on parallel machines," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(2), pages 145-165, March.
    13. Lee, Chung-Yee, 1999. "Two-machine flowshop scheduling with availability constraints," European Journal of Operational Research, Elsevier, vol. 114(2), pages 420-429, April.
    14. Chen, Wen-Jinn, 2009. "Minimizing number of tardy jobs on a single machine subject to periodic maintenance," Omega, Elsevier, vol. 37(3), pages 591-599, June.
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