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Spare Parts Inventory Management: A Literature Review

Author

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  • Shuai Zhang

    (Area of Operations Management, DeGroote School of Business, McMaster University, Hamilton, ON L8S4M4, Canada)

  • Kai Huang

    (Area of Operations Management, DeGroote School of Business, McMaster University, Hamilton, ON L8S4M4, Canada)

  • Yufei Yuan

    (Area of Information System, DeGroote School of Business, McMaster University, Hamilton, ON L8S4M4, Canada)

Abstract

Spare parts are held as inventory to support product maintenance in order to reduce downtime and extend the lifetime of products. Recently, spare parts inventory management has been attracting more attention due to the “right-to-repair” movement which requires that manufacturers provide sufficient spare parts throughout the life-cyle of their products to reduce waste so as to achieve sustainability. In this review, 148 papers regarding spare parts inventory management published from 2010 to 2020 are examined. The studies are classified based on two groups of perspectives. The first group includes the characteristics of spare parts, products, inventory systems, and supply chains, while the second group focuses on the characteristics of research methodologies and topics in the reviewed studies. The novelty of this literature review is three-fold. Firstly, we focus on analyzing the supply chain structure of different inventory networks for managing spare parts. Secondly, we classify the current literature based on analytics techniques, i.e., descriptive analytics, predictive analytics, and prescriptive analytics. Finally, the research gaps in this field are discussed from the perspective of reverse logistics, consumer durable goods, inventory network structure and policy, spare parts demand pattern modeling, and big data analytics.

Suggested Citation

  • Shuai Zhang & Kai Huang & Yufei Yuan, 2021. "Spare Parts Inventory Management: A Literature Review," Sustainability, MDPI, vol. 13(5), pages 1-23, February.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2460-:d:505374
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    References listed on IDEAS

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    2. Daniel Y. Mo & Chris Y. T. Ma & Danny C. K. Ho & Yue Wang, 2022. "Design of a Reverse Logistics System with Internet of Things for Service Parts Management," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    3. Weiwei Li & Lisheng Weng & Kaixu Zhao & Sidong Zhao & Ping Zhang, 2021. "Research on the Evaluation of Real Estate Inventory Management in China," Land, MDPI, vol. 10(12), pages 1-29, November.
    4. Tanka Milkova, 2022. "A Stochastic Inventory Management Model with Consideration of Additional Information," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 11(1), pages 167-174, April.

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