OR in spare parts management: A review

Hu, Qiwei; Boylan, John E.; Chen, Huijing; Labib, Ashraf

doi:10.1016/j.ejor.2017.07.058

Cited by 131 publications

(88 citation statements)

References 199 publications

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“…The approach has not been tested in other companies, which limits the generalization of the design across various application domains (van Aken et al, ). In framing the problem, we do identify commonalities with other OEMs and find in the literature common after‐sales conditions and requirements across industries, providing initial evidence that the results may be transferable (Bundschuh & Dezvane, ; Cohen & Lee, ; Hu, Boylan, Chen, & Labib, ; Huiskonen, ; Kennedy, Patterson, & Fredendall, ; Wagner et al, ; Wagner & Lindemann, ). Nevertheless, we leave it to future research to investigate the assessment of switchover share in other empirical settings.…”

Section: Discussionmentioning

confidence: 73%

Assessing the potential of additive manufacturing for the provision of spare parts

Heinen

Hoberg

2019

J of Ops Management

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Spare parts are a particularly interesting application for switching production from traditional manufacturing (TM) to additive manufacturing (AM). Research assessing AM has primarily addressed cost models centering on the production process or the operations management of separate spare parts. By combining case study, modeling, and design science elements, we adopt a holistic perspective and develop a design to examine the systematic leverage of AM in spare parts operations. Contextually grounded in problems faced by a leading material handling equipment manufacturer that is challenged by common characteristics of after‐sales operations, we engage with practice to propose a portfolio level analysis examining the switchover share from TM to AM. Using a data set of 53,457 spare parts over 9 years, we find that up to 8% of stock keeping units (SKUs) and 2% of total units supplied could be produced using AM, even if unit production costs are four times those of TM. This result is driven by low demand, high fixed costs, and minimum order quantities in TM. Finally, we present the evaluation by the case company's management and highlight five areas of opportunity and challenge.

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Section: Discussionmentioning

confidence: 73%

Assessing the potential of additive manufacturing for the provision of spare parts

Heinen

Hoberg

2019

J of Ops Management

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“…In addition to that, an evaluation of the impact of imperfect or incomplete information could bring the methods closer to a practical setting. Lastly, as all methods require a large database to be available, we propose the investigation of the potential to combine installed base information together with more traditional methods, as similarly suggested by Furtak et al (2015); Hu et al (2017); Andersson & Jonsson (2018). Such approaches, as presented by Jalil et al (2011) and Romeijnders et al (2012), allow to apply a simple method that requires little (advanced) data and enrich it with installed base information.…”

Section: Future Research Directionsmentioning

confidence: 99%

“…The focus mainly lies on techniques based on historical demand data, and the authors hardly consider other sources of information. The work by Hu et al (2017) presents a framework for operational research in spare parts management. This paper does take into account other factors than the time series data alone.…”

Section: Introductionmentioning

confidence: 99%

Forecasting spare part demand with installed base information: A review

Auweraer

Boute

Syntetos

2019

International Journal of Forecasting

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The classical spare part demand forecasting literature studies methods to forecast intermittent demand. The majority of these methods do not consider the underlying demand generating factors. Demand for spare parts originates from the part replacements of the installed base of machines, which are either done preventively or upon breakdown of the part. This information from service operations, which we refer to as installed base information, can be used to forecast future spare part demand. In this paper we review the literature on the use of such installed base information for spare part demand forecasting to asses (1) what type of installed base information can be useful; (2) how this information can be used to derive forecasts; (3) what is the value of using installed base information to improve forecasting; and (4) what are the limits of the currently existing methods. The latter serve as motivation for future research.

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“…The particular characteristics of spare parts have created a strong need for the implementation of appropriate techniques to manage the complexity of the spare parts supply chain. In this context, the literature has presented the classification of spare parts as an essential and useful step to facilitate the decision-making process [11] and to help managers to focus on the most important items.…”

Section: Spare Parts Characteristicsmentioning

confidence: 99%

A review of spare parts supply chain management

Achetoui

Mabrouki

Mousrij

2019

j. sist. manaj. ind.

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The particular characteristics of spare parts have prompted several authors to provide substantial results for effective spare parts supply chain management. In this context, the purpose of this paper is to present the significant contributions that researchers have proposed, over time, for the spare parts supply chain management. The literature has shown that the particular characteristics of spare parts have a significant impact on inventory performance and customer demand fulfillment. For this reason, most of the contributions were focused on spare parts classification methods, forecasting methods and inventory optimization. The focus of researchers on some areas of spare parts management allowed us to identify some promising perspectives that were not developed in the literature, such as the development of performance measurement frameworks for the spare parts supply chain and the measurement of organizational maturity.

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OR in spare parts management: A review

Cited by 131 publications

References 199 publications

Assessing the potential of additive manufacturing for the provision of spare parts

Assessing the potential of additive manufacturing for the provision of spare parts

Forecasting spare part demand with installed base information: A review

A review of spare parts supply chain management

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