Coordinated Pricing and Inventory Management

协调定价和库存管理

• 批准号: 0926845
• 负责人: Xin Chen
• 金额: $ 28.87万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926845&HistoricalAwards=false
• 关键词: Coordinated; Pricing; Inventory; Management

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).This grant provides funding for the development of mathematical models integrating production, inventory and pricing decisions in a host of centralized/decentralized supply chain systems as well as the development of efficient algorithms to solve these models. A common theme throughout this proposal is to build and analyze comprehensive inventory and pricing models taking into account a variety of real-world issues and design efficient computational algorithms for solving these models. A major emphasis of this proposed research is to develop inventory and pricing models that incorporate knowledge of pertinent consumer behavior and supply chain risk management models that integrate operations and finance decisions. The PI also plans to analyze and design collaboration mechanisms for complex decentralized supply chains that may include retailers competing or cooperating on inventory and pricing. If successful, the proposed research will greatly advance our knowledge base of important and challenging supply chain models. Equally important, the proposed research has the potential to provide new tools and methodologies to effectively manage supply chains and thus improve companies' competitive advantage. The advanced mathematical models and algorithms to be explored in this proposal will serve as a basis for the development of the much needed theory that will allow to cut across traditional organizational barriers within a firm and across companies and improve supply chain efficiencies.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。该拨款为在集中/分散供应链系统中集成生产，库存和定价决策的数学模型的开发提供资金，以及开发有效的算法来解决这些模型。整个提案的一个共同主题是建立和分析综合库存和定价模型，考虑到各种现实问题，并设计有效的计算算法来解决这些模型。这项研究的一个主要重点是开发库存和定价模型，将相关的消费者行为和供应链风险管理模型，整合运营和财务决策的知识。PI还计划为复杂的分散式供应链分析和设计协作机制，其中可能包括零售商在库存和定价方面的竞争或合作。如果成功，拟议的研究将大大推进我们的知识基础的重要和具有挑战性的供应链模型。同样重要的是，拟议的研究有可能提供新的工具和方法，以有效地管理供应链，从而提高公司的竞争优势。本提案中探索的高级数学模型和算法将作为急需的理论发展的基础，该理论将允许跨越公司内部和公司之间的传统组织障碍，并提高供应链效率。