Applied AI and Electronics Manufacturing Optimization

 

Abstract

This talk will overview several applied intelligent systems projects in the University of Illinois at Chicago's AI Laboratory. After a brief review of several different projects, this talk will present ideas and results from an ongoing industrial collaboration in the areas of optimization and knowledge discovery applied to electronics manufacturing. This work involves optimizing the assignment of components to the feeder slots of high-speed "chip shooters" (devices which place IC chips onto printed wire circuit boards) in a high-mix manufacturing environment. A variety of AI methods (e.g., genetic algorithms, tabu search, neural networks, and rule-based systems) have been utilized to consistently produce near-optimal results for high-speed placement over a wide class of machines. Extensions to this work include the development of data mining techniques for design and manufacturing, and meta-knowledge extraction and management for SMT optimization.

Bio of the Speaker

Peter Nelson received his B.A. (1984) in computer science and mathematics from North Park College, and his M.S. (1986) and Ph.D. (1988) in computer science from Northwestern University. Dr. Nelson is Professor and Head of the Department of Computer Science at the University of Illinois at Chicago, where he is also Director of the Artificial Intelligence Laboratory.   The UIC Artificial Intelligence Laboratory specializes in applied AI research and development. Since Dr. Nelson founded it in 1991, the UIC AI Laboratory has undertaken a variety of applied intelligent systems projects in the areas of transportation, molecular biology, electronics manufacturing optimization and networking.  Dr. Nelson has been the recipient of over $7 million of R&D contracts from a variety of government agencies and corporations including the National Institutes of Health, National Academy of Sciences, Federal Highway Administration, Illinois Department of Transportation, Manufacturing Research Center, Motorola, and Sun Microsystems.  He has published over 50 scientific articles and presented his research results at numerous technical conferences in North America, Europe, Asia, and Australia.

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