Benefits of Reevaluating Real-Time Order Fulfillment Decisions

• 成果类型: Article
• 署名作者: Xu, Ping Josephine; Allgor, Russell; Graves, Stephen C.
• 署名单位: Amazon.com; Massachusetts Institute of Technology (MIT)
• 刊物名称: M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1523-4614
• DOI: 10.1287/msom.1080.0222
• 发表日期: 2009
• 页码: 340-355
• 关键词: online retailing; online order fulfillment; local search heuristics

摘要

When a customer orders online, an online retailer assigns the order to one or more of its warehouses and/or drop-shippers to minimize procurement and transportation costs based on the available current information. However, this assignment is necessarily myopic because it cannot account for any subsequent customer orders or future inventory replenishment. We examine the benefits of periodically reevaluating these real-time assignments. We construct near-optimal heuristics for the reassignment for a large set of customer orders to minimize the total number of shipments. Finally, we present evidence of significant saving opportunities by testing the heuristics on order data from a major online retailer.