An Introduction to Management Science: Quantitative Approaches to Decision Making

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An Introduction to Management Science: Quantitative Approaches to Decision Making

An Introduction to Management Science: Quantitative Approaches to Decision Making

2018-02-20 An Introduction to Management Science: Quantitative Approaches to Decision Making

Description

All data sets, applications, and screen visuals reflect the details of Excel 2013 to effectively prepare you to work with the latest spreadsheet tools. In addition, readers can get a copy of LINGO software and Excel add-ins with the book's online content.. The trusted market leader for more than two decades, the book uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. Reflecting the latest developments in Microsoft Office Excel 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 14E equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process

Sweeney has published more than 30 articles in the area of management science and statistics. He has been at the University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa and Pole Universitaire Leonard de Vinci. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Dr. Denn

Thomas A. from the University of Cincinnati. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Born in Cincinnati, Ohio, he holds a B.S. Camm has published more than 30 papers in the general area of optimization applied to problems in operations management and marketing. 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. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Adm

Good textbook, Management Science (MBA program) Patti JF This book was a required textbook for my Operations Management and Information Systems course in an MBA program. The book reads well, the material is clearly explained and chapters are well-organized. In each chapter, the authors describe the use these techniques in real life cases in actual companies. There are a lot of problems and self-tests at the end of each chapter which help to learn the material in depth.. I won't be getting rid of this book. The Bookworm This was the textbook for my quantitative analysis class. Expensive, but by far, one of the best management science books I have read. I will be using this as a reference book for years.. "it came in good shape but" according to Amazon Customer. there is nothing wrong with the book but you dont need to buy this or rent it, you can find the pdf online for free.