Optimizing Linkages in Multistage Production/Distribution Systems

优化多级生产/分配系统中的联系

• 批准号: 0322715
• 负责人: Joseph Geunes
• 金额: --
• 依托单位: University of Florida
• 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=0322715&HistoricalAwards=false
• 关键词: Optimizing; Linkages; Multistage; Production; Distribution

This research grant provides funding for the development of new mathematical decision models to enable complex multistage production and distribution systems to more effectively and efficiently respond to diverse individual customer needs. These decision models will address the optimal coordination of operations planning between distinct stages in production and distribution systems. The modeling and solution methods will stress the value and importance of various critical dimensions of individual customer demand attributes and of material supply flexibility. Optimization-based solution methods will be developed for solving these large-scale decision problems, which account for the economic costs and system constraints of multiple inter-related stages that work together to efficiently deliver consumer goods and services. The models and solution methods will be tested and validated with an emphasis on empirically demonstrating their value to organizations that operate and participate in large-scale production and distribution systems.The results of this research will provide organizations with new approaches to operations planning and management that more effectively and efficiently match their operations capabilities to a broad and diverse set of customer demands. The resulting models will demonstrate ways in which firms can achieve economic material supply flexibility in order to provide individually customized output while serving mass markets. The solution methods that will be developed for these models will help to overcome significant operations planning complexities faced by many firms, thus providing the potential to create substantial economic value for a broad range of organizations. The associated modeling, analysis, and algorithmic development will also contribute to advances in applied optimization theory and large-scale problem solving.

该研究资助为开发新的数学决策模型提供资金，使复杂的多级生产和分销系统能够更有效地响应不同的个人客户需求。 这些决策模型将解决生产和分销系统中不同阶段之间的运营规划的最佳协调问题。 建模和求解方法将强调各个客户需求属性和材料供应灵活性的各个关键维度的价值和重要性。 将开发基于优化的解决方案方法来解决这些大规模决策问题，这些问题考虑了多个相互关联的阶段的经济成本和系统约束，这些阶段共同努力，有效地提供消费品和服务。 模型和解决方案的方法将进行测试和验证，重点是经验证明其价值的组织，经营和参与大规模的生产和分销系统，这项研究的结果将提供组织的新方法，以运营规划和管理，更有效地和高效地匹配他们的运营能力，以广泛和多样化的客户需求。 由此产生的模型将展示公司如何实现经济的材料供应灵活性，以便在服务大众市场的同时提供个性化定制的产品。 为这些模型开发的解决方案方法将有助于克服许多公司面临的重大运营规划复杂性，从而为广泛的组织创造巨大的经济价值。 相关的建模，分析和算法开发也将有助于应用优化理论和大规模问题解决的进步。