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    Forecasting spare part demand with installed base information: a Review

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    Publication type
    Journal article with impact factor
    Author
    Van der Auweraer, Sarah
    Boute, Robert
    Syntetos, Aris
    Publication Year
    2019
    Journal
    International Journal of Forecasting
    Publication Volume
    35
    Publication Issue
    1
    Publication Begin page
    181
    Publication End page
    196
    
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    Abstract
    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.
    Keyword
    Spare Parts, Demand Forecasting, Literature Review, Maintenance, Installed Base
    Knowledge Domain/Industry
    Operations & Supply Chain Management
    DOI
    10.1016/j.ijforecast.2018.09.002
    URI
    http://hdl.handle.net/20.500.12127/6017
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ijforecast.2018.09.002
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