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Criticality classification of spare parts: A case study

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  • Molenaers, An
  • Baets, Herman
  • Pintelon, Liliane
  • Waeyenbergh, Geert

Abstract

This paper proposes a spare part classification method based on item criticality. Starting from a multi-criteria analysis, the proposed model converts relevant criteria impacting item criticality into a single score presenting the criticality level. The obtained criticality level is used to rationalize the efficiency of the spare parts inventory policy. The model presents the multi-criteria classification problem in a logic decision diagram where AHP is used to solve the multi-criteria decision sub-problems at the different decision nodes of the diagram. The method was tested and implemented in a petrochemical plant and the results of this case study are presented.

Suggested Citation

  • Molenaers, An & Baets, Herman & Pintelon, Liliane & Waeyenbergh, Geert, 2012. "Criticality classification of spare parts: A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 570-578.
    • Handle: RePEc:eee:proeco:v:140:y:2012:i:2:p:570-578
    DOI: 10.1016/j.ijpe.2011.08.013
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    Cited by:

    1. Binoy Debnath & Md Shihab Shakur & Fahmida Tanjum & M. Azizur Rahman & Ziaul Haq Adnan, 2022. "Impact of Additive Manufacturing on the Supply Chain of Aerospace Spare Parts Industry—A Review," Logistics, MDPI, vol. 6(2), pages 1-25, April.
    2. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    3. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    4. Boliang Lin & Jiaxi Wang & Huasheng Wang & Zhongkai Wang & Jian Li & Ruixi Lin & Jie Xiao & Jianping Wu, 2017. "Inventory-transportation integrated optimization for maintenance spare parts of high-speed trains," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    5. Reza Barabadi & Mohammad Ataei & Reza Khalokakaie & Ali Nouri Qarahasanlou, 2021. "Spare-part management in a heterogeneous environment," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-14, March.
    6. Chekurov, Sergei & Metsä-Kortelainen, Sini & Salmi, Mika & Roda, Irene & Jussila, Ari, 2018. "The perceived value of additively manufactured digital spare parts in industry: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 205(C), pages 87-97.
    7. Natalie M. Scala & Jayant Rajgopal & Luis G. Vargas & Kim LaScola Needy, 2016. "Group Decision Making with Dispersion in the Analytic Hierarchy Process," Group Decision and Negotiation, Springer, vol. 25(2), pages 355-372, March.
    8. Hung, Yi-Feng & Hsiao, Jui-Yi, 2013. "Inventory rationing decision models during replenishment lead time," International Journal of Production Economics, Elsevier, vol. 144(1), pages 290-300.
    9. Sheikh-Zadeh, Alireza & Rossetti, Manuel D. & Scott, Marc A., 2021. "Performance-based inventory classification methods for large-Scale multi-echelon replenishment systems," Omega, Elsevier, vol. 101(C).
    10. Petchrompo, Sanyapong & Parlikad, Ajith Kumar, 2019. "A review of asset management literature on multi-asset systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 181-201.
    11. Jan Block & Alireza Ahmadi & Xun Xiao & Uday Kumar, 2019. "Spares provisioning strategy for periodically replaced units within the fleet retirement period," 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. 10(3), pages 299-315, June.
    12. Yang, Liu & Li, Haitao & Campbell, James F. & Sweeney, Donald C., 2017. "Integrated multi-period dynamic inventory classification and control," International Journal of Production Economics, Elsevier, vol. 189(C), pages 86-96.
    13. Javier Serra Parajes & Adolfo Crespo Márquez & Antonio Sola Rosique, 2018. "Criticality analysis for preventive maintenance optimization purposes in gas network infrastructures," Journal of Risk and Reliability, , vol. 232(4), pages 464-472, August.

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