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dc.contributor.authorVan der Auweraer, Sarah
dc.contributor.authorZhu, Sha
dc.contributor.authorBoute, Robert
dc.date.accessioned2021-05-27T14:36:13Z
dc.date.available2021-05-27T14:36:13Z
dc.date.issued2021en_US
dc.identifier.issn0925-5273
dc.identifier.doi10.1016/j.ijpe.2021.108186
dc.identifier.urihttp://hdl.handle.net/20.500.12127/6946
dc.description.abstractThis paper analyzes the value of different sources of installed base information for spare part demand forecasting and inventory control. The installed base is defined as the set of products (or machines) in use where the part is installed. Information on the number of products still in use, the age of the products, the age of their parts, as well as the part reliability may indicate when a part will fail and trigger a demand for a new spare part. The current literature is unclear which of this installed base information adds most value – and should thus be collected – for inventory control purposes. For this reason, we evaluate the inventory performance of eight methods that include different sets of installed base information in their demand forecasts. Using a comparative simulation study we identify that knowing the size of the active installed base is most valuable, especially when the installed base changes over time. We also find that when a failure-based prediction model is used, it is important to work with the part age itself, rather than the machine age. When one is not able to collect information on the part age, a logistic regression on the machine age might be a valuable alternative to a failure-based prediction model. Our findings may support the prioritization of data collection for spare part demand forecasting and inventory control.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectInstalled Base Informationen_US
dc.subjectForecastingen_US
dc.subjectDynamic Inventory Controlen_US
dc.subjectSpare Partsen_US
dc.subjectValue of Informationen_US
dc.titleThe value of installed base information for spare part inventory controlen_US
dc.identifier.journalInternational Journal of Production Economicsen_US
dc.source.volume239
dc.source.issueSeptember
dc.contributor.departmentLuxembourg Centre for Logistics and Supply Chain Management, University of Luxembourg, Luxembourg 4365, Luxembourgen_US
dc.contributor.departmentDepartment of information & organizations management, ESCP Paris, Paris 75015, Franceen_US
dc.contributor.departmentKU Leuvenen_US
vlerick.knowledgedomainOperations & Supply Chain Managementen_US
vlerick.typearticleVlerick strategic journal articleen_US
vlerick.vlerickdepartmentTOMen_US
dc.identifier.vperid102358en_US


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