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Karl G. Kempf

Intel Fellow, Digital Equipment Group
Director, Decision Engineering
INTEL CORPORATION

Karl G. Kempf is an Intel Fellow and Intel's Director of Decision Engineering. He currently focuses on product design decision problems in Intel's Digital Equipment Group, and previously was responsible for supply chain decision problems in Intel's Technology and Manufacturing Group.

Kempf joined Intel in 1987 and is based in Phoenix, Arizona. He has been involved in designing and implementing decision policies for production scheduling, equipment maintenance, factory ramp management, equipment selection and layout, strategic and tactical production planning, inventory planning, demand forecasting, logistics operations and product design, as well as a wide variety of modeling and simulation projects. He has produced more than 50 internal publications.

Kempf is a member of the National Academy of Engineering. He serves as adjunct professor at Arizona State University supervising graduate students in Mathematics, Computer Science, Industrial Engineering, and Supply Chain Management. Kempf has published more than 100 research papers in the external literature on various topics in heuristic and mathematical decision science, and has delivered keynote addresses at a number of national and international conferences.

Prior to joining Intel, Kempf worked at McDonnell Douglas Corporation in St. Louis, Missouri, and Huntington Beach, California, where he was a member of the team that won the contract for automating the initial National Aeronautics and Space Administration Space Station. He worked previously at Pinewood Movie Studios in England where he participated in filming three Superman* movies, serving on the team that won an Academy Award* for special effects. While working for Ferrari in Italy (on loan from Goodyear), he was involved in winning three Formula I Gran Prix* World Championships.

Kempf holds a B.S. in Chemistry, a B.A. in Physics, a Ph.D. in Applied Mathematics, and completed post-doctoral studies in Computer Science.

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