Knowledge-based production management approaches, results and prospects

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• Stephen F. Smith is a Senior Research Scientist in the Robotics Institute at Carnegie Mellon University, and Director of the Production Control Laboratory within the Institute's Center for Integrated Manufacturing Decision Systems. He holds a B.S. degree in mathematics from Westminster College, and M.S. and Ph.D. degrees in Computer Science from the University of Pittsburgh. His research interests include constraint-based planning and scheduling, integration of predictive and reactive decision-making, distributed problem solving, temporal reasoning, machine learning, and knowledge-based production management. Dr. Smith has been a principal architect of several innovative knowledge-based scheduling systems for complex manufacturing and space applications. His current work focused on the design of adaptable production management systems, which continually refine and adjust decision-making knowledge and strategies based on observed performance in the executing environment.
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