MOTI: A Distributed Decision Framework Integrating Manufacturing Planning and Multiple Supply Chain Management

小行星9634808 为了保持竞争力，许多公司必须在减少产品数量的同时增加产品种类。 随着产品线的激增，这些公司往往难以规划生产，并管理跨多个生产设施和产品线的复杂供应链。 本研究涉及在这样的环境中集成的生产计划和供应链管理功能的发展。 研究人员将为多个供应链的生产规划开发一个分析框架，每个供应链都有自己独特的动态。 而不是脱钩供应链，本研究探讨的方法，整合决策沿着和跨多个供应链。 集中和分散（分布式）决策，资源整合和能力管理之间的权衡考虑。 利用市场拍卖理论和博弈论等经济技术，它将为分布式决策支持提供基础，并在供应链和生产设施之间进行必要的信息传递。 研究人员将与一家大型汽车公司和一家大型电子公司密切合作，以确保研究能够满足行业需求。 供应链管理是一个迫切关注的行业，由于其复杂的产品线和引进新技术，有供应商层。 此外，大多数制造业企业都在努力降低库存，这使得供应链管理变得更加重要。 这项研究应该具有更好的资本管理，材料规划和客户服务的高潜力，从而提高竞争力，特别是在某些关键行业，如汽车和电子。

9634808 Wu In order to remain competitive, many companies must increase product variety at the same time that they decrease product volumes. As product lines proliferate, these companies often struggle to plan production and manage complicated supply chains across multiple production facilities and product lines. This research involves the development of integrated production planning and supply chain management functions in such an environment. The investigators will develop an analytical framework for production planning with multiple supply chains, each with its own unique dynamic. Rather than decoupling supply chains, this research investigates methods of integrating decisions along and across multiple supply chains. Trade-offs between centralized and decentralized (distributed) decision-making, resource consolidation and capacity management are considered. Using economic techniques such as market auction theory and game theory, it will provide a basis for distributed decision-support, with the requisite information transfer between supply chains and production facilities. The investigators will work closely with a large automotive firm and a major electronics company to ensure that the research is responsive to industry's needs. Supply chain management is a pressing concern in industries that, by virtue of their complex product lines and introduction of new technologies, have layers of suppliers. Moreover, the push to lower inventories in most manufacturing concerns makes supply chain management even more critical. This research should have high potential for better capital management, material planning, and customer service, and thus improved competitiveness, especially in certain critical industries, such as automotive and electronics.