U.S.-France (INRIA) Cooperative Research: Stochastic Optimization of Manufacturing Systems

这个为期三年的奖项将支持乔治亚理工学院的Yorai Wardi和位于法国梅斯的法国国家计算机科学与应用数学研究所（INRIA）的Jean-Marie Proth之间的美法合作研究。他们的目标是研究在制造系统的初步设计和管理中经常发现的优化问题。与生产线、作业车间系统、“准时制”系统和装配系统相关的问题将被解决。他们将使用Petri网来开发快速有效的基于仿真的优化算法。Petri网被认为是现代制造系统建模和评估的强大仿真工具。在这个建议中，Petri网与制造系统的敏感性分析和优化相联系。美国研究人员为此次合作带来了动态系统分析和制造系统优化数值模型方面的专业知识。这是由法国研究者在制造业的Petri网的重要研究补充。结合这些技术，提出的研究可能导致复杂制造系统的新设计方法的发展。

This three-year award will support U.S.-France cooperative research between Yorai Wardi of the Georgia Institute of Technology and Jean-Marie Proth of the French National Institute for Computer Science and Applied Mathematics (INRIA) in Metz, France. Their objective is to investigate optimization problems frequently found in the preliminary design and management of manufacturing systems. Problems related to production lines, job-shop systems, `Just-In-Time` systems, and assembly systems will be addressed. They will use Petri nets for developing fast and efficient simulation-based optimization algorithms. Petri nets are considered a powerful simulation tool for modeling and evaluation of modern manufacturing systems. In this proposal Petri nets are linked to sensitivity analysis and optimization of manufacturing systems. The U.S. investigator brings to this collaboration expertise in analysis of dynamic systems and in numerical models for the optimization of manufacturing systems. This is complemented by the French investigator's significant research in Petri nets in manufacturing. In combining these techniques, the proposed research could lead to the development of novel design methods for complex manufacturing systems.