Third Party Warehousing: Making Logistics Management Effective

第三方仓储：让物流管理更有效

• 批准号: 9908221
• 负责人: Sila Cetinkaya
• 金额: $ 27.16万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9908221&HistoricalAwards=false
• 关键词: Third; Party; Warehousing; Making; Logistics

This grant provides funding for an investigation of logistics efficiency improvements through coordinating transportation, inventory, and value-added operations scheduling decisions at a third party warehouse. For the purpose of third party logistics planning, inventory requirements and shipment release schedules are interrelated, value-added operations scheduling problems have unique characteristics, and analysis of time-window constraints is of practical importance. Thus, the research concentrates on developing analytical models and numerical tools for: (1) Third Party Warehousing and Transportation for Distribution to Multiple Market Areas; (2) Scheduling Value-added Operations; and, (3) Integrating Transportation, Inventory, and Value Added Scheduling Decisions under Demand Time-Windows. The objectives include introducing new avenues of theoretical research with practical implications, contributing to the theory of logistics coordination through analytical modeling and methodological development, and gaining insight for solving complex real-life problems. The results will broaden the theory of logistics and provide a better understanding of the structure of practical supply chain management problems. This research addresses a strong need for analytical and numerical decision making tools for effective supply-chain management practices, and thus plays an important role in bridging the gap between academia and industry. If successful, the results will have a significant impact on the role of third party services for effective logistics management.

这笔赠款为通过协调第三方仓库的运输、库存和增值业务调度决策来提高物流效率的调查提供资金。对于第三方物流规划而言，库存需求和发货计划是相互关联的，增值作业调度问题具有独特的特点，分析时间窗口约束具有重要的现实意义。因此，本研究致力于开发分析模型和数值工具，以用于：(1)面向多个市场区域的第三方仓储和运输；(2)增值业务调度；(3)需求时间窗口下的运输、库存和增值调度决策的集成。目标包括介绍具有实际意义的理论研究的新途径，通过分析建模和方法发展为物流协调理论做出贡献，并获得解决复杂现实问题的洞察力。研究结果将拓宽物流理论，为更好地理解供应链管理实际问题的结构提供依据。这项研究解决了对有效供应链管理实践的分析和数字决策工具的强烈需求，因此在弥合学术界和工业界之间的差距方面发挥了重要作用。如果成功，结果将对第三方服务在有效物流管理方面的作用产生重大影响。