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About the authors

David R. Anderson
David R. Anderson is Professor of Quantitative Analysis in the College of Business
Administration at the University of Cincinnati. Born in Grand Forks, North Dakota,
he earned his B.S., M.S., and Ph.D. degrees from Purdue University. Professor
Anderson has served as Head of the Department of Quantitative Analysis
and Operations Management and as Associate Dean of the College of Business
Administration.
Professor Anderson has co-authored many textbooks in the areas of statistics,
management science, linear programming and production and operations manage-
ment. He is an active consultant in the field of sampling and statistical methods.

Dennis J. Sweeney
Dennis J. Sweeney is Professor of Quantitative Analysis and Founder of the Center
for Productivity Improvement at the University of Cincinnati. Born in Des Moines,
lowa, he earned a B.S.B.A. degree from Drake University and his MBA and DBA
degrees from Indiana University, where he was an NDEA Fellow.
Professor Sweeney has published more than thirty articles and monographs in the
area of management science and statistics. The National Science Foundation, IBM,
Procter & Gamble, Federated Department Stores, Kroger and Cincinnati Gas &
Electric have funded his research, which has been published in Management Science,
Operations Research, Mathematical Programming, Decision Sciences and other journals.
Professor Sweeney has co-authored many textbooks in the areas of
statistics, management science, linear programming and production and operations
management.

Thomas A. Williams
Thomas A. Williams is Professor of Management Science in the College of Business
at Rochester Institute of Technology. Born in Elmira, New York, he earned his B.S.
degree at Clarkson University. He did his graduate work at Rensselaer Polytechnic
Institute, where he received his M.S. and Ph.D. degrees.
Professor Williams is the co-author of many textbooks in the areas of manage-
ment science, statistics, production and operations management and mathematics.
He has been a consultant for numerous Fortune 500 companies and has worked on
projects ranging from the use of data analysis to the development of large-scale
regression models.

Mik Wisniewski

Mik has over 40 years’ management science experience. His teaching at under-
graduate and postgraduate levels focuses on the practical application to manage-
ment decision making. He has taught at many different universities and colleges in
the UK, across Europe, African and the Middle East. He has extensive consul-
tancy experience with clients including Shell, KPMG, PriceWaterhouseCoopers,
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