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dc.contributor.authorAllgor, Russell
dc.contributor.authorGraves, Stephen C.
dc.contributor.authorXu, Ping Josephine
dc.date.accessioned2003-12-15T12:00:00Zen_US
dc.date.available2003-12-15T12:00:00Zen_US
dc.date.issued2004-01
dc.identifier.urihttp://hdl.handle.net/1721.1/3922
dc.description.abstractIn an e-retailing setting, the efficient utilization of inventory, storage space, and labor is paramount to achieving high levels of customer service and company profits. To optimize the storage space and labor, a retailer will split the warehouse into two storage regions with different densities. One region is for picking customer orders and the other to hold reserve stock. As a consequence, the inventory system for the warehouse is a multi-item two-stage, serial system. We investigate the problem when demand is stochastic and the objective is to minimize the total expected average cost under some space constraints. We generate an approximate formulation and solution procedure for a periodic review, nested ordering policy, and provide managerial insights on the trade-offs. In addition, we extend the formulation to account for shipping delays and advanced order information.en
dc.description.sponsorshipSingapore-MIT Alliance (SMA)en
dc.format.extent113261 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesInnovation in Manufacturing Systems and Technology (IMST);
dc.subjectinventoryen
dc.subjectmulti-echelonen
dc.subjectstochastic demanden
dc.subjectperiodic reviewen
dc.titleTraditional Inventory Models in an E-Retailing Setting: A Two-Stage Serial System with Space Constraintsen
dc.typeArticleen


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