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Traditional Inventory Models in an E-Retailing Setting: A Two-Stage Serial System with Space Constraints

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dc.creator Allgor, Russell
dc.creator Graves, Stephen C.
dc.creator Xu, Ping Josephine
dc.date 2003-12-15T12:00:00Z
dc.date 2003-12-15T12:00:00Z
dc.date 2004-01
dc.date.accessioned 2013-10-09T02:33:12Z
dc.date.available 2013-10-09T02:33:12Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/3922
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description In 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.
dc.description Singapore-MIT Alliance (SMA)
dc.format 113261 bytes
dc.format application/pdf
dc.language en_US
dc.relation Innovation in Manufacturing Systems and Technology (IMST);
dc.subject inventory
dc.subject multi-echelon
dc.subject stochastic demand
dc.subject periodic review
dc.title Traditional Inventory Models in an E-Retailing Setting: A Two-Stage Serial System with Space Constraints
dc.type Article


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