Spare parts demand: Linking forecasting to equipment maintenance

Wang, Wenbin and Syntetos, Argyrios ORCID: https://orcid.org/0000-0003-4639-0756 2011. Spare parts demand: Linking forecasting to equipment maintenance. Transportation Research Part E: Logistics and Transportation Review 47 (6) , pp. 1194-1209. 10.1016/j.tre.2011.04.008

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Abstract

Demand for spare parts is typically intermittent and forecasting the relevant requirements constitutes a very challenging exercise. Why is the demand for spare parts intermittent and how can we use models developed in maintenance research to forecast such demand? We attempt to answer these questions; we present a novel idea to forecast demand that relies upon the very sources of the demand generation process and we compare it with a well-known time-series method. We conclude that maintenance driven models are associated with a better performance under certain conditions. We also outline an inter-disciplinary agenda for further research in this area.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HE Transportation and Communications
Uncontrolled Keywords:	Spare parts; Maintenance; Forecasting; Inventory management; Delay time
Publisher:	Elsevier
ISSN:	1366-5545
Last Modified:	21 Oct 2022 11:00
URI:	https://orca.cardiff.ac.uk/id/eprint/42073

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