Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems

buir.contributor.authorErkip, Nesim Kohen
buir.contributor.orcidErkip, Nesim Kohen|0000-0003-4122-6375
dc.citation.epage11en_US
dc.citation.spage1en_US
dc.contributor.authorErkip, Nesim Kohen
dc.date.accessioned2023-03-03T11:45:38Z
dc.date.available2023-03-03T11:45:38Z
dc.date.issued2022-08-24
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractIn this review, we discuss the data-driven systems and their effects on the implementation of the inventory theory. After overviewing the theory briefly, we group the data-driven approaches to simplify exposition. We consider the use of available data to estimate the parameters of more complex models, and propose developing the theory in that direction, as well. As a pedagogical example, an extension of the standard EOQ model with heterogenous customers is presented. The review proposes a research agenda for inventory problems and concludes with discussing challenges for the future.en_US
dc.identifier.doi10.1016/j.ejor.2022.08.024en_US
dc.identifier.eissn1872-6860
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/11693/112050
dc.language.isoEnglishen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttps://dx.doi.org/10.1016/j.ejor.2022.08.024en_US
dc.source.titleEuropean Journal of Operational Researchen_US
dc.subjectData-driven inventory problemsen_US
dc.subjectInventoryen_US
dc.subjectInventory problem with heterogenous customersen_US
dc.subjectReviewen_US
dc.titleCan accessing much data reshape the theory? Inventory theory under the challenge of data-driven systemsen_US
dc.typeReviewen_US
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