CAREER: Analysis of Multi-dimensional Coordination Problems in Service Parts Logistics Systems

职业：零部件物流系统多维协调问题分析

• 批准号: 0245123
• 负责人: Erhan Kutanoglu
• 金额: --
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2009-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0245123&HistoricalAwards=false
• 关键词: CAREER; Analysis; Multi; dimensional; Coordination

This Faculty Early Career Development (CAREER) award provides funding for the development of models and algorithms for coordination problems in Service Parts Logistics (SPL) systems. The challenge in SPL systems is to coordinate decisions across business units, time horizons, and geographical locations at the same time towards high-quality system-wide solutions. The research first will develop a unified framework for integrated logistics network design and inventory management and explore decomposition-based solution methodologies for the associated problems formulated as mathematical models. The logistics network design submodel involves multiple echelons, multiple products and time-based service coverage restrictions. The inventory submodel involves inventory sharing across multiple facilities and response-time based service levels. Motivated by the scale of the problems existing in real SPL systems, the research will also investigate different levels of granularity of the models, and identify the trade-off between computation and solution accuracy. The research will finally address the mechanism design and incentive issues that inherently exist in coordination problems: How does one make sure that the decision entities have the necessary incentives to coordinate their decisions? The closely related educational plan of the award involves the development of a teaching case on modern SPL systems, and the development of a course on mathematical modeling of supply chain coordination problems.If successful, the results of this research will lead to the solution of problems in SPL, both in size and scope, commonly faced by industry, the government and the military. The models and their results will be validated and verified with partners in SPL. The investigations should contribute in finding scalable solution methodologies for large-scale mathematical models with special structure and their application to real problems. The results will also provide insights in aligning the individual decision entities' goals with the system-wide goals. Analyzing these issues simultaneously in a unified framework will improve the understanding of how these factors (different levels of coordination and incentive issues) affect each other in distributed logistics systems. Another contribution will be to undercover the relationship between coordination mechanisms and decomposition-based optimization techniques. The educational component should enhance teaching in applied operations research, supply chain management, and logistics courses.

该教师早期职业发展（职业）奖为服务零件物流（SPL）系统中的模型和算法的开发提供了资金。 SPL系统中的挑战是在同一时间跨系统范围内跨业务部门，时间范围和地理位置协调决策。该研究首先将为集成物流网络设计和库存管理和探索基于分解的解决方案方法来开发一个统一的框架，以探索以数学模型为基础的相关问题。物流网络设计子模型涉及多个梯队，多个产品和基于时间的服务覆盖范围限制。库存子模型涉及跨多个设施和基于响应时间的服务水平的库存共享。在实际SPL系统中存在的问题的规模上，研究还将研究模型的粒度不同，并确定计算和解决方案准确性之间的权衡。该研究最终将解决协调问题中固有存在的机制设计和激励问题：如何确保决策实体具有协调其决策的必要激励措施？该奖项的密切相关的教育计划涉及开发现代SPL系统的教学案例，以及开发有关供应链协调问题的数学建模课程的发展。模型及其结果将得到SPL中的合作伙伴的验证和验证。该研究应有助于寻找具有特殊结构及其在实际问题上的大型数学模型的可扩展解决方法。结果还将提供有关使各个决策实体目标与全系统目标保持一致的见解。在统一框架中同时分析这些问题将提高对这些因素（不同级别的协调和激励问题）如何在分布式物流系统中相互影响的理解。另一个贡献是秘密秘密协调机制与基于分解的优化技术之间的关系。教育组成部分应增强应用运营研究，供应链管理和物流课程中的教学。