Lawrence M. Seiford
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- University of Michigan (http://www.umich.edu/)
Lawrence M. Seiford\'s teaching and research interests are primarily in the areas of quality engineering, productivity analysis, process improvement, distributed-systems design issues, and performance measurement. In addition, he is recognized as one of the world\'s experts in the methodology of Data Envelopment Analysis. His current research involves the development of benchmarking models for identifying best-practice in manufacturing and service systems. He has written and co-authored four books and over one hundred articles in the areas of quality, productivity, operations engineering, process improvement, decision analysis, and decision support systems. Professor Seiford is past Editor-in-Chief of OMEGA, the International Journal of Management Science, Associate Editor of the Journal of Productivity Analysis, Operations Research, and Global Management Research, and has been or is on the editorial boards of nine scientific journals. Dr. Seiford has received the General Electric Outstanding Teaching Award, the CBA Foundation Award for Research Excellence, and has been a Lily Endowment Teaching Fellow. He was awarded the degree Docteur Honoris Causa from the Universite de la Mediterranee, Aix-Marseille II in November, 2000. He is a Fellow of the Institute of Industrial Engineers (IIE), a Fellow of the American Society for Quality (ASQ), and a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS).
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Coury, Bruce G., Motte, Susan, Seiford, Lawrence M. (1991): Capturing and Representing Decision Processes in the Design of an Information System. In: Proceedings of the Human Factors Society 35th Annual Meeting , 1991, . pp. 1223-1227.