Introduction to Management Science: Quantative Approaches to Decision Making (with CourseMate and eBook Access Card): Quantative Approaches to Decision Making (with CourseMate and eBook Access Card)

Williams, Thomas; Sweeney, Dennis; Anderson, David; Wisniewski, Mik

3.63

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9781408088401: Introduction to Management Science: Quantative Approaches to Decision Making (with CourseMate and eBook Access Card): Quantative Approaches to Decision Making (with CourseMate and eBook Access Card)

ISBN 10: 1408088401 ISBN 13: 9781408088401

Publisher: Cengage Learning EMEA, 1980

In the second edition of this highly-regarded text, the accessible application-driven approach that made the first edition so successful has been retained, whilst it has been streamlined and strengthened further to meet the needs of students across the UK, Europe, Middle East and Africa. Packed with diverse realistic examples from Scotland to Saudi Arabia, this truly internationalized version of the landmark text from the Anderson, Sweeney and Williams team provides a comprehensive introduction to the subjects of Management Science and Operations Research.

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About the Author:

Dr. Thomas A. Williams is a well respected textbook author and Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology, where he was the first chairman of the Decision Sciences Department. He taught courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Dr. Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Dr. Williams 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. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees.

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