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dc.contributor.advisorKamath, Manjunath
dc.contributor.authorNarayanan, Bharath
dc.date.accessioned2016-09-29T18:41:50Z
dc.date.available2016-09-29T18:41:50Z
dc.date.issued2015-07-01
dc.identifier.urihttps://hdl.handle.net/11244/45288
dc.description.abstractDistribution Centers (DC) perform a key role in the order fulfillment process by intermittently stocking products to be redistributed to different retail stores. An important strategic decision that has implications on cost and service levels in the long run is the allocation of products to the distribution centers. When fast moving products that generate large truckload volumes and/or have high replenishment frequency are stocked at distribution centers located closer to the retail stores, the miles traveled will be reduced resulting in the reduction of transportation costs. This product allocation strategy is called replenishment frequency driven distribution strategy. Explicit consideration of replenishment frequency requirements during product allocation decisions may be advantageous in comparison to imposing the requirements post decision making. Two optimization models were formulated to aid in product allocation decisions with and without replenishment frequency driven considerations. A numerical study was performed to yield insights into potential cost savings due to explicit consideration of replenishment frequency driven distribution strategy.
dc.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleImpact of Replenishment Frequency Driven Product Allocation in a Retail Supply Chain
dc.typetext
dc.contributor.committeeMemberBalasundaram, Balabhaskar
dc.contributor.committeeMemberHeragu, Sunderesh
osu.filenameNarayanan_okstate_0664M_14220.pdf
osu.accesstypeOpen Access
dc.description.departmentIndustrial Engineering & Management
dc.type.genreThesis


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