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“ It's really hard to design products by focus groups. A lot of times, people don't know what they want until you show it to them. ”

-- Steve Jobs, 1998

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Lawrence M. Seiford

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Personal Homepage:
ioe.engin.umich.edu/people/fac/seiford.php

Current place of employment:
University of Michigan

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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Publications by Lawrence M. Seiford (bibliography)

1991

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Coury, Bruce G., Motte, Susan and 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.

“Incorporating the decision processes used by people in complex decision tasks is one of the most significant challenges facing designers of information systems. The need to capture and represent those decision processes is a fundamental part of the development of any information system and requires input from users. The purpose of this paper is to present an approach to the design of information systems that identifies the information needs of the user, reveals the reasoning process and decision strategies employed by users to make decisions, and represents those processes and information requirements in such a way as to enhance system development. The research combines user needs analysis with cognitive modeling to provide the basis for the design of a prototype information system. The paper shows how user needs analysis provides the knowledge and information necessary to cognitively model the decision processes of users in a particular problem domain.”

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