Planning, Coordination, and Control of Supply Chains

供应链的规划、协调和控制

• 批准号: 0300359
• 负责人: Ioannis Paschalidis
• 金额: $ 35万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0300359&HistoricalAwards=false
• 关键词: Planning; Coordination; Control; Supply; Chains

Abstract The primary research objective of the proposed work is to develop methodology that enables a practical and effective framework for decentralized, yet coordinated, management and control of supply chains. To that end, it is proposed to address a host of key challenges: (i) model lead-times dynamically; (ii) provide Quality-of-Service (QoS) guarantees to supply chain customers; (iii) model uncertainty accurately by adopting demand and capacity stochastic models that capture strong temporal dependencies inherent in these processes; and (iv) employ efficient resource allocation in order to manage congestion. To meet these objectives the proposed work will draw upon stochastic system theory, simulation, dynamic optimization, and optimal control. To deal with computational complexities it is planned to exploit the time scale decomposition among decisions with different scope and functionality, and employ analytical approximations to estimate complex quantities of interest (e.g., large deviations techniques). If successful, this research will contribute to information and production systems engineering, and their potential to enable significant productivity growth in the manufacturing and distribution industries. It will lead to supply chains with significantly reduced lead-times that employ inventory control algorithms able to guarantee desirable service levels and minimize expected inventory costs. Moreover, the research will make contributions to the scheduling and routing in stochastic processing networks, leading to more streamlined operations at the various stages of the supply chain. The proposed work will also: (i) contribute to the training of graduate students and the enhancement of the graduate curriculum in Manufacturing Engineering at Boston University (BU); and (ii) leverage an NSF science ambassador award to BU to reach out to high school students.Finally, and in addition to the usual means of disseminating the outcomes of the proposed work (publications, presentations at conferences, invited lectures, etc.), the PIs plan to use their association with the recently established BU Center for Information and Systems Engineering (CISE) to work with affiliated companies.

摘要 本项工作的主要研究目标是开发方法论，为供应链的分散但协调的管理和控制提供实用且有效的框架。为此，建议解决一系列关键挑战：(i) 动态建模交付时间； (ii) 为供应链客户提供服务质量（QoS）保证； (iii) 通过采用需求和容量随机模型来准确建模不确定性，这些模型捕获这些过程中固有的强时间依赖性； (iv) 采用有效的资源分配来管理拥塞。为了实现这些目标，拟议的工作将利用随机系统理论、模拟、动态优化和最优控制。 为了处理计算复杂性，计划利用不同范围和功能的决策之间的时间尺度分解，并采用分析近似来估计感兴趣的复杂量（例如，大偏差技术）。如果成功，这项研究将有助于信息和生产系统工程及其在制造和分销行业显着提高生产率的潜力。它将导致供应链显着缩短交货时间，并采用库存控制算法来保证理想的服务水平并最大限度地降低预期库存成本。此外，该研究将为随机处理网络中的调度和路由做出贡献，从而使供应链各个阶段的操作更加简化。拟议的工作还将：（i）有助于研究生培训和波士顿大学（BU）制造工程研究生课程的加强； (ii) 利用 BU 的 NSF 科学大使奖来接触高中生。最后，除了传播拟议工作成果的常规方式（出版物、会议演讲、邀请讲座等）之外， ，PI 计划利用他们与最近成立的 BU 信息和系统工程中心 (CISE) 的联系来与附属公司合作。