Skip to the content

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.

[img] PDF - Published Version
Restricted to Repository staff only

Download (511kB) | Request a copy

    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 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: Colleges and Schools > College of Business & Law > Salford Business School > Operations and Global Logistics Management
    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 10:20
    Last Modified: 20 Jan 2014 20:52
    URI: http://usir.salford.ac.uk/id/eprint/18315

    Document Downloads

    More statistics for this item...

    Actions (login required)

    Edit record (repository staff only)