Quantitative Analysis for Management, Global Edition, 14th Edition

For management science and decision modeling courses.

A foundational understanding of management science through real-life problems and solutions. Quantitative Analysis for Management helps students develop a real-world understanding of business analytics, quantitative methods, and management science. It does this by using mathematical model building, tangible examples, and computer applications. Students are introduced to models and then apply those models using step-by-step, how-to instructions and software.

The 14th Edition features new examples, problems and cases to give students the most current and comprehensive understanding of quantitative analytics and management science.

Barry Render is Professor Emeritus, the Charles Harwood Distinguished Professor of Operations Management, Crummer Graduate School of Business, Rollins College, Winter Park, Florida. He received his BS in Mathematics and Physics at Roosevelt University and his MS in Operations Research and his PhD in Quantitative Analysis at the University of Cincinnati.

Dr. Render has co-authored 10 textbooks published by Pearson, including Managerial Decision Modeling with Spreadsheets, Operations Management, Principles of Operations Management, Service Management, Introduction to Management Science, and Cases and Readings in Management Science. More than 100 articles by Dr. Render on a variety of management topics have appeared in Decision Sciences, Production and Operations Management, Interfaces, Information and Management, Journal of Management Information Systems, Socio-Economic Planning Sciences, IIE Solutions, and Operations Management Review, among others.

Ralph Stair is Professor Emeritus at Florida State University. He earned a BS in Chemical Engineering from Purdue University and an MBA from Tulane University. Under the guidance of Ken Ramsing and Alan Eliason, he received a PhD in Operations Management from the University of Oregon. He has taught at the University of Oregon, the University of Washington, the University of New Orleans, and Florida State University.

Dr. Stair is a member of several academic organisations, including the Decision Sciences Institute and INFORMS. He has published numerous articles and books, including Managerial Decision Modeling with Spreadsheets, Introduction to Management Science, Cases and Readings in Management Science, Production and Operations Management: A Self-Correction Approach, Fundamentals of Information Systems, Principles of Information Systems, Introduction to Information Systems, Computers in Today's World, Principles of Data Processing, Learning to Live with Computers, Programming in BASIC, Essentials of BASIC Programming, Essentials of FORTRAN Programming, and Essentials of COBOL Programming.

Michael E. Hanna is Professor Emeritus of Decision Sciences at the University of Houston–Clear Lake (UHCL). He holds a BA in Economics, an MS in Mathematics, and a PhD in Operations Research from Texas Tech University. For more than 25 years, he has been teaching courses in statistics, management science, forecasting, and other quantitative methods.

Dr. Hanna has authored textbooks in management science and quantitative methods, has published numerous articles and professional papers, and has served on the Editorial Advisory Board of Computers and Operations Research.

Trevor S. Hale is a Professor of Business Analytics in the Mays School of Business at Texas A&M University with an emphasis in teaching. He received a BS in Industrial Engineering from Penn State University, an MS in Engineering Management from Northeastern University, and a PhD in Operations Research from Texas A&M University.

Dr. Hale has spent 5 summers as an Office of Naval Research Senior Faculty Fellow. He spent the summers of 2009, 2011, 2013, 2017, and 2022 performing energy security/cyber security research for the US Navy at Naval Base Ventura County in Port Hueneme, California.

Dr. Hale has published dozens of articles in the areas of operations research and quantitative analysis in journals such as the International Journal of Production Research, the European Journal of Operational Research, Annals of Operations Research, the Journal of the Operational Research Society, and the International Journal of Physical Distribution and Logistics Management, among several others.

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