Risk Management of Supply Chain Networks with Dependent Disruptions

具有相关中断的供应链网络的风险管理

• 批准号: 1000183
• 负责人: Soundar Kumara
• 金额: $ 34.5万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1000183&HistoricalAwards=false
• 关键词: Risk; Management; Supply; Chain; Networks

The research objective of this award is to develop a framework to study crucial issues of risk management problems in supply chains subject to dependent disruptions. It develops a multivariate Markov chain model for uncertain production capacities to capture temporal and spatial effects of disruptions. In the context of two-echelon supply chains with either the multi-source or assembly structure, this research investigates the effect of the supply chain structure and the dependent disruptions on supply chain performance. In addition to the commonly used tools in the study of two echelon supply chains, this research also utilizes innovative methodologies from several active/new research areas, including multivariate dependence theory, copula and vine copula to study the qualitative behavior and quantitative properties of supply chains with dependent disruptions. Deliverables include new supply chain models with correlated disruptions/random yields, performance bounds and efficient computational/simulation methods to evaluate system performances and optimal ordering strategies. This research is among the first ones to address dependent stochastic disruption problems in supply chains using cupola and vine copula methods.If successful, the result of this research will lead to optimal design and control of supply chains incorporating stochastic dependence in disruptions. The novelty of the proposed research lies in: (1)at the strategic level, firms can analyze the stochastic dependence of the supply nodes operating in different geographical locations and their impact on the demand nodes, and (2) at the operational level, it will help firms in determining optimal inventory policies, costs and customer service levels. Research efforts and results will be disseminated through publications and web sites. Graduate and undergraduate business and engineering students will benefit through classroom instruction and involvement in the research. A software package enabling users to solve dependent supply chain disruption problems will be developed.

该奖项的研究目标是开发一个框架来研究供应链中风险管理问题的关键问题，但受到依赖破坏。它为不确定的生产能力捕获破坏的时间和空间效应，开发了多元马尔可夫链模型。 在带有多源或组装结构的两回能供应链的背景下，本研究研究了供应链结构的影响以及依赖性破坏对供应链性能的影响。 除了对两个梯队供应链的研究中使用的常用工具外，该研究还利用了来自几个活跃/新研究领域的创新方法，包括多元依赖理论，Copula和Vine Copula来研究供应链的定性行为和定量性能，并具有相关性。可交付成果包括具有相关中断/随机收益率的新供应链模型，性能界限和有效的计算/仿真方法，以评估系统性能和最佳订购策略。这项研究是最早通过用杯和葡萄藤方法解决供应链中依赖随机破坏问题的研究之一。拟议研究的新颖性在于：（1）在战略层面上，企业可以分析在不同地理位置中运行的供应节点的随机依赖性及其对需求节点的影响，以及（2）在运营层面上，它将帮助公司确定最佳库存政策，成本和客户服务水平。 研究工作和结果将通过出版物和网站传播。 研究生和本科企业和工程专业的学生将通过课堂教学和参与研究而受益。 将开发一个软件包，使用户能够解决依赖的供应链中断问题。