Spare parts demand : linking forecasting to equipment maintenance

Wang, W and Syntetos, A 2011, 'Spare parts demand : linking forecasting to equipment maintenance' , Transportation Research Part E Logistics and Transportation Review, 47 (6) , pp. 1194-1209.

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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 wellknown 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
Themes: Subjects outside of the University Themes
Schools: Schools > Salford Business School > Salford Business School Research Centre
Journal or Publication Title: Transportation Research Part E Logistics and Transportation Review
Publisher: Elsevier
Refereed: Yes
ISSN: 1366-5545
Funders: Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: Professor Aris Syntetos
Date Deposited: 14 Oct 2011 09:20
Last Modified: 16 Feb 2022 13:02

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