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The University of Texas at Austin, Los Alamos National Laboratory, The University of California at San Diego, the Federal University of Rio Grande do Sul (UFRGS, Brazil) (local organizing partner) and Pontifica Universidad Catolica de Chile (PUC, Chile) are jointly sponsoring a National Science Foundation funded Science Institute to be held June 4-15 in Porto Alegre, Brazil. The Institute will investigate the development and application of Predictive Process Dynamics for Manufacturing (PPDM). PPDM seeks to greatly improve manufacturing processes through integrating different process data types and to monitor and control quality metrics in real time. The usual post-process inspection step is directly coupled with the manufacturing process and the learning process associated with a particular manufacturing process is then boosted tremendously. The topic of Predictive Process Dynamics is of emerging importance to engineering and industry. It has the potential to revolutionize how products are designed, manufactured, and accepted for their intended end use.
The PASI will consist of an intensive two-week experience for an interdisciplinary group from the Americas. The Institute will bring together some of the best researchers from companies, universities and government laboratories in the disciplines related to Predictive Process Dynamics in Manufacturing. Moving toward PPD-based manufacturing requires skills and knowledge from various disciplines, and it is highly driven by industry. The goal of the proposed Pan-American Advance Study Institute is to bring together and educate about 35 students plus lecturers in a two-week program on Predictive Process Dynamics for Manufacturing, and to define remaining barriers in implementation of PPD and interest the manufacturing community in further understanding of and removal of these barriers.
Graduate students chosen to participate will be provided with support for travel, lodging and subsistence for the period of the Institute. They will be expected to attend all sessions, work interactively with small teams that will implement the concepts of PPDM by applying them to a particular manufacturing process, and provide written documentation of their results.
Sponsors:
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