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

这项为期三年的奖励将支持美国-法国格鲁吉亚理工学院的Yorai Wardi和法国国家计算机科学与应用数学研究所（INRIA）的Jean-Marie Proth在法国梅斯进行合作研究。 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，车间作业系统，“准时制”系统和装配系统有关的问题将得到解决。 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一种强有力的仿真工具。 在这个建议中，Petri网与制造系统的灵敏度分析和优化。 美国调查员带来了这种合作的专业知识，在分析动态系统和数值模型的优化制造系统。 这是补充法国调查员的重要研究Petri网在制造业。 在结合这些技术，拟议的研究可能会导致复杂的制造系统的新的设计方法的发展。

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.