U.S.-France Cooperative Research (INRIA): Perturbation Analysis and Parallel Computing for Production Management

美法合作研究（INRIA）：生产管理的扰动分析和并行计算

• 批准号: 9402580
• 负责人: Michael Fu
• 金额: $ 3万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-08-01 至 2000-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9402580&HistoricalAwards=false
• 关键词: U.S.; France; Cooperative; Research; INRIA

This three-year award supports U.S.-France cooperative research in operations research and production systems between Ioannis Minis of the University of Maryland and Jean-Marie Proth of INRIA (French National Institute for Research in Computer Science and Applied Mathematics) in Lorraine, France. The objective is to develop a system that facilitates effective and efficient production planning for complex manufacturing systems. The investigators will study a multi-product production planning problem. The problem addresses a way to determine the number of products to be manufactured over many time periods in order to minimize the cost function. The investigators propose to use a parameterized hierarchical production management system to deal with the numerous variables and account for random events that disrupt production. In this approach they will aggregate the time units, the machines, and the part types in order to reduce the size of the problem. After computing a solution for the aggregated problem, they propose to solve the subproblems corresponding to each group of machines in order to achieve a near-optimal detailed production plan. The U.S. investigators bring to this collaboration considerable expertise in optimization and perturbation analysis, production hierarchy, and aggregation schemes. This is complemented by the French investigator's expertise in production planning and scheduling, parallel computing, and his practical experience in manufacturing.

这项为期三年的奖项支持马里兰州大学的IOANNIS MINIS与Inria的Jean-Marie Proth（法国国家计算机科学与应用数学研究所）在法国Lorraine的美国法国合作研究和生产系统。 目的是开发一个促进复杂制造系统有效生产计划的系统。 研究人员将研究一个多产品生产计划问题。 该问题解决了一种确定在许多时间段内生产的产品数量以最大程度降低成本功能的方法。研究人员建议使用参数化的层次生产管理系统来处理众多变量，并说明破坏生产的随机事件。 在这种方法中，他们将汇总时间单元，机器和零件类型，以减少问题的大小。 在计算了整个问题的解决方案之后，他们建议解决与每组机器相对应的子问题，以实现近乎最佳的详细生产计划。 美国调查人员在优化和扰动分析，生产层次结构和聚合方案方面为这一合作提供了大量的专业知识。 法国研究者在生产计划和计划，平行计算以及他在制造业方面的实践经验方面的专业知识得到了补充。