Stocking strategy for service parts – a case study

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Abstract
Cite
Botter, René, and Leonard Fortuin. “Stocking Strategy for Service Parts – a Case Study”. International Journal of Operations &Amp; Production Management, vol. 20, no. 6, 2000, pp. 656-74, https://doi.org/10.1108/01443570010321612.
Botter, R., & Fortuin, L. (2000). Stocking strategy for service parts – a case study. International Journal of Operations &Amp; Production Management, 20(6), 656-674. https://doi.org/10.1108/01443570010321612
Botter R, Fortuin L. Stocking strategy for service parts – a case study. International Journal of Operations & Production Management. 2000;20(6):656-74.
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Description

Struggling with service part inventories? This case study presents a pragmatic approach to address the challenges of managing service part inventories, which often cannot be managed using standard inventory control methods. By developing a structured framework built into a spreadsheet, the study tackles the key questions of inventory control: Which parts should be stocked? Where should they be stocked? How many of them should be stocked? The research develops a practical tool for determining stocking strategies for service parts, addressing the limitations of traditional inventory control models. The resulting tool is tested in a real-life situation, demonstrating its potential to generate significant cost savings. This study offers a valuable resource for organizations seeking to optimize their service part inventories. By providing a structured and pragmatic approach, the research enables businesses to make informed decisions about stocking levels and locations, ultimately improving efficiency and reducing costs. The tool developed in this case study can be adapted and applied in various industries facing similar inventory management challenges.

As a contribution to the International Journal of Operations & Production Management, this paper is well-suited to the journal’s focus on improving operational efficiency and effectiveness. The case study provides a practical approach to addressing inventory control challenges, a key aspect of operations management. The research findings offer actionable insights for optimizing stocking strategies and reducing costs, aligning with the journal’s goal of providing solutions to real-world operational problems.

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Citations Analysis
The first research to cite this article was titled The applicability of a multi‐attribute classification framework in the healthcare industry and was published in 2006. The most recent citation comes from a 2023 study titled The applicability of a multi‐attribute classification framework in the healthcare industry . This article reached its peak citation in 2015 , with 5 citations.It has been cited in 31 different journals, 3% of which are open access. Among related journals, the International Journal of Production Economics cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year