Management Science and Decision Technology

The focus of this book is on using data and spreadsheet models effectively for the analysis of business problems and decision making. Included are discussions of building good spreadsheet models; data collection, visualization, and statistical analysis; forecasting; optimization using Excel Solver; decision and risk analysis; and simulation using Crystal Ball add-in for Excel and Arena BE. The principal focus is on gaining insight and intuition for better decisions, with applications in operations planning, finance, and marketing.

Jeffrey D. Camm is Professor of Quantitative Analysis and Head of the Department of Quantitative Analysis and Operations Management at the University of Cincinnati. Born in Cincinnati, Ohio, he earned a BS in Mathematics from Xavier University and Ph.D. in Management Science from Clemson University. He has been at the University of Cincinnati for 15 years, and was a visiting scholar at Stanford University in 1992. Professor Camm has published over 20 papers in a variety of journals in the general area of applied optimization. In 1987 he was the recipient of the Harold Grilliot Award for the promotion of outstanding faculty/student relations and in 1995 he received the UC MBA Excellence in Teaching Award. An avid runner, in 1989 he ran a personal best 2 hours 29 minutes at the Columbus, OH Marathon. Dr. Camm has served as an operations research consultant to a number of organizations including Procter & Gamble, The Kroger Company, The United States Air Force, Ernst and Young Performance Improvement, Cinergy Inc., Louisville Gas & Electric, and Owens Corning.