Forecasting spare part demand with installed base information: A review

Sarah Van der Auweraer*, Robert Boute, Aris A. Syntetos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The classical spare part demand forecasting literature studies methods for forecasting intermittent demand. However, the majority of these methods do not consider the underlying demand-generating factors. The demand for spare parts originates from the replacement of parts in the installed base of machines, either 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 the future demand for spare parts. This paper reviews the literature on the use of such installed base information for spare part demand forecasting in order to asses (1) what type of installed base information can be useful; (2) how this information can be used to derive forecasts; (3) the value of using installed base information to improve forecasting; and (4) the limits of the existing methods. This serves as motivation for future research.

Original languageEnglish (US)
Pages (from-to)181-196
Number of pages16
JournalInternational Journal of Forecasting
Volume35
Issue number1
DOIs
StatePublished - Jan 1 2019

Keywords

  • Demand forecasting
  • Installed base
  • Literature review
  • Maintenance
  • Spare parts

ASJC Scopus subject areas

  • Business and International Management

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