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dc.contributor.authorEhrenthal, Joachim-
dc.contributor.authorHonhon, D.-
dc.contributor.authorVan Woensel, T.-
dc.date.accessioned2019-07-25T14:25:15Z-
dc.date.available2019-07-25T14:25:15Z-
dc.date.issued2014-10-16-
dc.identifier.issn0377-2217de_CH
dc.identifier.issn1872-6860de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17764-
dc.description.abstractWe investigate the value of accounting for demand seasonality in inventory control. Our problem is motivated by discussions with retailers who admitted to not taking perceived seasonality patterns into account in their replenishment systems. We consider a single-location, single-item periodic review lost sales inventory problem with seasonal demand in a retail environment. Customer demand has seasonality with a known season length, the lead time is shorter than the review period and orders are placed as multiples of a fixed batch size. The cost structure comprises of a fixed cost per order, a cost per batch, and a unit variable cost to model retail handling costs. We consider four different settings which differ in the degree of demand seasonality that is incorporated in the model: with or without within-review period variations and with or without across-review periods variations. In each case, we calculate the policy which minimizes the long-run average cost and compute the optimality gaps of the policies which ignore part or all demand seasonality. We find that not accounting for demand seasonality can lead to substantial optimality gaps, yet incorporating only some form of demand seasonality does not always lead to cost savings. We apply the problem to a real life setting, using Point-of-Sales data from a European retailer. We show that a simple distinction between weekday and weekend sales can lead to major cost reductions without greatly increasing the complexity of the retailer’s automatic store ordering system. Our analysis provides valuable insights on the trade-off between the complexity of the automatic store ordering system and the benefits of incorporating demand seasonality.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofEuropean Journal of Operational Researchde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectRetailingde_CH
dc.subjectInventory controlde_CH
dc.subjectLost salede_CH
dc.subjectNon-stationary demandde_CH
dc.subjectSeasonalityde_CH
dc.subject.ddc658: Allgemeines Managementde_CH
dc.titleDemand seasonality in retail inventory managementde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
dc.identifier.doi10.1016/j.ejor.2014.03.030de_CH
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end539de_CH
zhaw.pages.start527de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume238de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
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Ehrenthal, J., Honhon, D., & Van Woensel, T. (2014). Demand seasonality in retail inventory management. European Journal of Operational Research, 238(2), 527–539. https://doi.org/10.1016/j.ejor.2014.03.030
Ehrenthal, J., Honhon, D. and Van Woensel, T. (2014) ‘Demand seasonality in retail inventory management’, European Journal of Operational Research, 238(2), pp. 527–539. Available at: https://doi.org/10.1016/j.ejor.2014.03.030.
J. Ehrenthal, D. Honhon, and T. Van Woensel, “Demand seasonality in retail inventory management,” European Journal of Operational Research, vol. 238, no. 2, pp. 527–539, Oct. 2014, doi: 10.1016/j.ejor.2014.03.030.
EHRENTHAL, Joachim, D. HONHON und T. VAN WOENSEL, 2014. Demand seasonality in retail inventory management. European Journal of Operational Research. 16 Oktober 2014. Bd. 238, Nr. 2, S. 527–539. DOI 10.1016/j.ejor.2014.03.030
Ehrenthal, Joachim, D. Honhon, and T. Van Woensel. 2014. “Demand Seasonality in Retail Inventory Management.” European Journal of Operational Research 238 (2): 527–39. https://doi.org/10.1016/j.ejor.2014.03.030.
Ehrenthal, Joachim, et al. “Demand Seasonality in Retail Inventory Management.” European Journal of Operational Research, vol. 238, no. 2, Oct. 2014, pp. 527–39, https://doi.org/10.1016/j.ejor.2014.03.030.


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