Collaborative Research: Mitigating the Cost of Anarchy in Complex Supply Chain Systems

合作研究：降低复杂供应链系统中无政府状态的成本

• 批准号: 0926508
• 负责人: Mark Daskin
• 金额: $ 25.16万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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: 2009-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926508&HistoricalAwards=false
• 关键词: Collaborative; Research; Mitigating; Cost; Anarchy

This project supports a collaborative research program that will lead to an improved understanding of effective coordination of complex decentralized supply chain operations in practice. While decentralized supply chains permit firms to become adept and efficient at performing specific functions, efficient performance of individual supply chain functions does not ensure that the entire system operates as efficiently as possible. For decentralized systems in particular, incentives at different supply chain stages are often misaligned. Despite a high degree of efficiency within each stage, this incentive misalignment can and often does lead to avoidable losses in the system. Coordination among stages becomes a critical factor in mitigating these losses. The main goal of this project is to develop effective, intuitive, and efficiently implementable coordination mechanisms for improving performance and efficiency in complex operations systems. The project will emphasize solutions that can be applied broadly and effectively in industry to systems involving economies-of-scale in activity costs. By evaluating an array of intuitive and easily implemented schemes, this work will lead to an improved understanding of the structure of effective coordination mechanisms in practical and complex supply chain operations environments. By developing new decision models for coordinating operations in complex systems with nonlinear revenue and cost functions, this project will contribute to the state of knowledge on how organizations can (i) achieve coordinated operations in decentralized systems with realistic cost and demand characteristics, and (ii) understand the implications of operations decisions from a systems view. The resulting modeling, analysis, and algorithmic development will also contribute advances in applied parametric optimization theory and large-scale problem solving. Beyond the economic impact of enabling streamlined operations in complex systems, which can create substantial economic value for firms, this work will serve to deepen our understanding of complex systems that operate in a decentralized manner.

该项目支持一项合作研究计划，该计划将提高对实践中复杂的分散供应链运营的有效协调的理解。虽然分散的供应链使企业能够熟练且高效地履行特定职能，但单个供应链职能的高效履行并不能确保整个系统尽可能高效地运行。特别是对于去中心化系统，供应链不同阶段的激励措施往往不一致。尽管每个阶段的效率都很高，但这种激励失调可能而且经常会导致系统出现本可避免的损失。阶段之间的协调成为减轻这些损失的关键因素。 该项目的主要目标是开发有效、直观且高效可实施的协调机制，以提高复杂操作系统的性能和效率。该项目将强调可以在工业中广泛有效地应用于涉及活动成本规模经济的系统的解决方案。 通过评估一系列直观且易于实施的方案，这项工作将有助于更好地理解实际和复杂的供应链运营环境中有效协调机制的结构。通过开发新的决策模型来协调具有非线性收入和成本函数的复杂系统中的运营，该项目将有助于了解组织如何（i）在具有现实成本和需求特征的分散系统中实现协调运营，以及（ii） ）从系统角度理解运营决策的影响。 由此产生的建模、分析和算法开发也将有助于应用参数优化理论和大规模问题解决的进步。 除了在复杂系统中实现简化运营的经济影响（可以为企业创造巨大的经济价值）之外，这项工作还将有助于加深我们对以分散方式运行的复杂系统的理解。