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Research on optimization of spare parts inventory policy considering maintenance priority

Author

Listed:
  • Yu-kun Chen

    (Mechanical Engineering College)

  • Qi Gao

    (Mechanical Engineering College)

  • Xiao-bo Su

    (Mechanical Engineering College
    Shijiazhuang Division of Army Infantry College)

  • Shun Fang

    (Joint Service College of National Defense University)

  • Chi-ming Guo

    (Mechanical Engineering College)

Abstract

Aiming at multi-echelon inventory optimization of spare parts, the process of equipment support under preemptive maintenance and non-preemptive maintenance were analyzed. The support time of spare parts in each maintenance sites was calculated and a model of expected backorder was established. The marginal effect algorithm was utilized to calculate the maintenance priority assignment and inventory policy of spare parts. Finally, through a numerical example, the inventory project of spare parts obtained by the proposed model can greatly reduce the cost of the spare parts while ensuring the availability of the equipment, and which can improve the military and economic benefits of the equipment support commendably.

Suggested Citation

  • Yu-kun Chen & Qi Gao & Xiao-bo Su & Shun Fang & Chi-ming Guo, 2018. "Research on optimization of spare parts inventory policy considering maintenance priority," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(6), pages 1336-1345, December.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:6:d:10.1007_s13198-018-0748-3
    DOI: 10.1007/s13198-018-0748-3
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    References listed on IDEAS

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    1. E Topan & Z P Bayindir, 2012. "Multi-item two-echelon spare parts inventory control problem with batch ordering in the central warehouse under compound Poisson demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(8), pages 1143-1152, August.
    2. Parvaneh Samouei & Amir Kheirkhah & Parviz Fattahi, 2015. "A network approach modeling of multi-echelon spare-part inventory system with backorders and quantity discount," Annals of Operations Research, Springer, vol. 226(1), pages 551-563, March.
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    4. Paterson, Colin & Kiesmüller, Gudrun & Teunter, Ruud & Glazebrook, Kevin, 2011. "Inventory models with lateral transshipments: A review," European Journal of Operational Research, Elsevier, vol. 210(2), pages 125-136, April.
    5. Levner, Eugene & Perlman, Yael & Cheng, T.C.E. & Levner, Ilya, 2011. "A network approach to modeling the multi-echelon spare-part inventory system with backorders and interval-valued demand," International Journal of Production Economics, Elsevier, vol. 132(1), pages 43-51, July.
    6. Craig C. Sherbrooke, 1968. "Metric: A Multi-Echelon Technique for Recoverable Item Control," Operations Research, INFORMS, vol. 16(1), pages 122-141, February.
    7. Costantino, Francesco & Di Gravio, Giulio & Tronci, Massimo, 2013. "Multi-echelon, multi-indenture spare parts inventory control subject to system availability and budget constraints," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 95-101.
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    Cited by:

    1. Rasool Motahari & Yasser Saeidi Sough & Hamed Aboutorab & Morteza Saberi, 2021. "Joint optimization of maintenance and inventory policies for multi-unit systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 587-607, June.

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