GOALI/Collaborative Research: Warehouse Integration in Enterprise-Wide Supply Chain Planning under Uncertainty

GOALI/协作研究：不确定性下企业范围供应链计划中的仓库集成

• 批准号: 1235283
• 负责人: Nan Kong
• 金额: $ 18万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1235283&HistoricalAwards=false
• 关键词: GOALI; Collaborative; Research; Warehouse; Integration

The research objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) collaborative research award is to develop a set of innovative models and solutions for analyzing the three-way interaction among warehousing, inventory, and transportation decisions. The warehouse-inventory-transportation problem (WITP) for multi-echelon and multi-period supply chains is proposed and modeled through a stochastic integer quadratically-constrained program (SIQCP). Decisions associated with products with differing life-cycles flowing through the supply chain are also considered in the WITP. To solve industry-sized stochastic WITP instances, a seamless integration of decomposition approaches for stochastic integer linear programming (SILP) and continuous convex relaxation techniques for deterministic integer quadratically-constrained programming (IQCP) will be pursued.If successful, this research will develop novel insights into interactions between the three key supply chain drivers and will prescribe low cost, realistic, plans to supply chain managers. This research will facilitate innovation and excellence in decision analytics at over 600,000 warehouses with annual expenditures of over $100 billion, leading to substantial economic benefit to enterprises both nationally and globally. After successful validation in collaboration with our industry co-PI, opportunities for potential commercialization within the $6.1 billion annual worldwide supply chain software market will be considered. Key findings from this research will be incorporated in an interactive educational website to demonstrate the interplay among warehousing, inventory, and transportation decisions.

该研究项目的研究目标是开发一套创新的模型和解决方案，用于分析仓储，库存和运输决策之间的三方互动。提出了多级多周期供应链的仓库-库存-运输问题，并利用随机整数二次约束规划（SIQCP）建立了模型。WIPP还考虑了与流经供应链的不同生命周期产品相关的决策。为了解决行业规模的随机WIPP实例，将随机整数线性规划（SILP）的分解方法和确定性整数二次约束规划（IQCP）的连续凸松弛技术无缝集成，如果成功，这项研究将开发新的见解三个关键供应链驱动程序之间的相互作用，并将规定低成本，现实的计划，供应链管理者。这项研究将促进60多万个仓库的决策分析创新和卓越，年支出超过1000亿美元，为国内和全球企业带来巨大的经济效益。在与我们的行业合作伙伴合作成功验证后，将考虑在每年61亿美元的全球供应链软件市场中进行潜在商业化的机会。这项研究的主要结果将被纳入一个互动的教育网站，以展示仓储，库存和运输决策之间的相互作用。