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A two-phase approach for integrating preventive maintenance with production and delivery in an unreliable coal mine

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  • Song Jiu

    (Southwest Jiaotong University)

Abstract

We consider a coal mine that extracts raw coal by a set of coal mining equipment (CME), separates out multiple products by a set of coal washing equipment, and delivers the products through a fleet of trains over a multi-period horizon. The equipment requires a daily preventive maintenance (PM) and each CME is subject to random failures and repairs. We study a joint PM, production, and delivery problem that determines when to perform the PM and how to manage coal production and delivery in each period, to minimize the expected total cost. We formulate a multi-period stochastic optimization model that delicately integrates the static PM decisions with the adaptive production-delivery decisions, which is extremely difficult to solve due to CME’s decision-dependent operating status. We propose a novel two-phase solution approach to overcome this difficulty. Phase 1 firstly determines the PM decisions using a scenario-based variable neighborhood search algorithm. Using the PM solution and the resultant set of scenarios as input parameters, Phase 2 adaptively determines the production-delivery decisions using a forward-looking algorithm in a rolling horizon manner. We show numerically that our approach consistently produces good-quality and robust solutions while preserving tractability for varying problem instances.

Suggested Citation

  • Song Jiu, 2021. "A two-phase approach for integrating preventive maintenance with production and delivery in an unreliable coal mine," Journal of Heuristics, Springer, vol. 27(6), pages 991-1020, December.
    • Handle: RePEc:spr:joheur:v:27:y:2021:i:6:d:10.1007_s10732-021-09482-0
    DOI: 10.1007/s10732-021-09482-0
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    1. Parag Pendharkar & James Rodger, 2000. "Nonlinear programming and genetic search application for production scheduling in coal mines," Annals of Operations Research, Springer, vol. 95(1), pages 251-267, January.
    2. Finke, Gerd & Gara-Ali, Ahmed & Espinouse, Marie-Laure & Jost, Vincent & Moncel, Julien, 2017. "Unified matrix approach to solve production-maintenance problems on a single machine," Omega, Elsevier, vol. 66(PA), pages 140-146.
    3. Jun Dong & Chunming Ye, 2020. "Research on Two-Stage Joint Optimization Problem of Green Manufacturing and Maintenance for Semiconductor Wafer," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-22, January.
    4. Peng, Hao & van Houtum, Geert-Jan, 2016. "Joint optimization of condition-based maintenance and production lot-sizing," European Journal of Operational Research, Elsevier, vol. 253(1), pages 94-107.
    5. Dehayem Nodem, F.I. & Kenné, J.P. & Gharbi, A., 2011. "Simultaneous control of production, repair/replacement and preventive maintenance of deteriorating manufacturing systems," International Journal of Production Economics, Elsevier, vol. 134(1), pages 271-282, November.
    6. Yihai He & Changchao Gu & Zhaoxiang Chen & Xiao Han, 2017. "Integrated predictive maintenance strategy for manufacturing systems by combining quality control and mission reliability analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5841-5862, October.
    7. Zied Hajej & Rezg Nidhal & Chelbi Anis & Maryem Bouzoubaa, 2020. "An optimal integrated production and maintenance strategy for a multi-wind turbines system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6417-6440, November.
    8. Shishvan, Masoud Soleymani & Benndorf, Jörg, 2019. "Simulation-based optimization approach for material dispatching in continuous mining systems," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1108-1125.
    9. Liu, Jialu & Yang, Sheng & Wu, Aiguo & Hu, S. Jack, 2012. "Multi-state throughput analysis of a two-stage manufacturing system with parallel unreliable machines and a finite buffer," European Journal of Operational Research, Elsevier, vol. 219(2), pages 296-304.
    10. Zied Hajej & Sadok Turki & Nidhal Rezg, 2015. "Modelling and analysis for sequentially optimising production, maintenance and delivery activities taking into account product returns," International Journal of Production Research, Taylor & Francis Journals, vol. 53(15), pages 4694-4719, August.
    11. Karin Thörnblad & Ann-Brith Strömberg & Michael Patriksson & Torgny Almgren, 2015. "Scheduling optimisation of a real flexible job shop including fixture availability and preventive maintenance," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 9(1), pages 126-145.
    12. Dhouib, K. & Gharbi, A. & Ben Aziza, M.N., 2012. "Joint optimal production control/preventive maintenance policy for imperfect process manufacturing cell," International Journal of Production Economics, Elsevier, vol. 137(1), pages 126-136.
    13. Allaoui, H. & Lamouri, S. & Artiba, A. & Aghezzaf, E., 2008. "Simultaneously scheduling n jobs and the preventive maintenance on the two-machine flow shop to minimize the makespan," International Journal of Production Economics, Elsevier, vol. 112(1), pages 161-167, March.
    14. Gharbi, A. & Kenne, J.-P. & Beit, M., 2007. "Optimal safety stocks and preventive maintenance periods in unreliable manufacturing systems," International Journal of Production Economics, Elsevier, vol. 107(2), pages 422-434, June.
    15. Wang, Ting & Baldacci, Roberto & Lim, Andrew & Hu, Qian, 2018. "A branch-and-price algorithm for scheduling of deteriorating jobs and flexible periodic maintenance on a single machine," European Journal of Operational Research, Elsevier, vol. 271(3), pages 826-838.
    16. Li, Guo & Liu, Mengqi & Sethi, Suresh P. & Xu, Dehua, 2017. "Parallel-machine scheduling with machine-dependent maintenance periodic recycles," International Journal of Production Economics, Elsevier, vol. 186(C), pages 1-7.
    17. I. Ece Içyüz & Jean-Philippe P. Richard & Erdem Eskigun & Dharma Acharya, 2016. "A Two-Model Solution Approach for the Monthly Coal Train Reservations Planning Problem," Transportation Science, INFORMS, vol. 50(3), pages 926-946, August.
    18. Fei Zhao & Wenbin Wang & Rui Peng, 2015. "Delay-time-based preventive maintenance modelling for a production plant: a case study in a steel mill," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(12), pages 2015-2024, December.
    19. Alexandros, Diamantidis C. & Chrissoleon, Papadopoulos T., 2009. "Exact analysis of a two-workstation one-buffer flow line with parallel unreliable machines," European Journal of Operational Research, Elsevier, vol. 197(2), pages 572-580, September.
    20. Renqian Zhang & Xuefang Sun, 2018. "Integrated Production-Delivery Lot Sizing Model with Limited Production Capacity and Transportation Cost considering Overtime Work and Maintenance Time," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-10, April.
    21. Song, Dong-Ping, 2009. "Production and preventive maintenance control in a stochastic manufacturing system," International Journal of Production Economics, Elsevier, vol. 119(1), pages 101-111, May.
    22. M. Assid & A. Gharbi & A. Hajji, 2015. "Joint production, setup and preventive maintenance policies of unreliable two-product manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 53(15), pages 4668-4683, August.
    23. Abraham Duarte & Eduardo G. Pardo, 2020. "Special issue on recent innovations in variable neighborhood search," Journal of Heuristics, Springer, vol. 26(3), pages 335-338, June.
    24. Shijin Wang & Ming Liu, 2016. "Two-machine flow shop scheduling integrated with preventive maintenance planning," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(3), pages 672-690, February.
    25. Sirikarn Chansombat & Pupong Pongcharoen & Christian Hicks, 2019. "A mixed-integer linear programming model for integrated production and preventive maintenance scheduling in the capital goods industry," International Journal of Production Research, Taylor & Francis Journals, vol. 57(1), pages 61-82, January.
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