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dc.contributor.authorÖzkaya, B. Y.en_US
dc.contributor.authorGürler, Ü.en_US
dc.contributor.authorBerk, E.en_US
dc.date.accessioned2016-02-08T10:18:12Z
dc.date.available2016-02-08T10:18:12Z
dc.date.issued2006en_US
dc.identifier.issn0894-069X
dc.identifier.urihttp://hdl.handle.net/11693/23722
dc.description.abstractIn this study, we propose a new parsimonious policy for the stochastic joint replenishment problem in a single-location, N-item setting. The replenishment decisions are based on both group reorder point-group order quantity and the time since the last decision epoch. We derive the expressions for the key operating characteristics of the inventory system for both unit and compound Poisson demands. In a comprehensive numerical study, we compare the performance of the proposed policy with that of existing ones over a standard test bed. Our numerical results indicate that the proposed policy dominates the existing ones in 100 of 139 instances with comparably significant savings for unit demands. With batch demands, the savings increase as the stochasticity of demand size gets larger. We also observe that it performs well in environments with low demand diversity across items. The inventory system herein also models a two-echelon setting with a single item, multiple retailers, and cross docking at the upper echelon.en_US
dc.language.isoEnglishen_US
dc.source.titleNaval Research Logisticsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/nav.20147en_US
dc.subjectJoint replenishment problemen_US
dc.subjectMulti-item inventory systemsen_US
dc.subjectJoint replenishment problemen_US
dc.titleThe stochastic joint replenishment problem: a new policy, analysis, and insightsen_US
dc.typeArticleen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.departmentDepartment of Managementen_US
dc.citation.spage525en_US
dc.citation.epage546en_US
dc.citation.volumeNumber53en_US
dc.citation.issueNumber6en_US
dc.identifier.doi10.1002/nav.20147en_US
dc.publisherJohn Wiley & Sonsen_US
dc.identifier.eissn1520-6750


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