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Barry Render, Ralph M. Stair, and Michael E. Hanna draw from their varying backgrounds and experiences to offer students a positively reviewed resource in their textbook Quantitative Analysis for Management (11th Edition), ISBN 9780132149112. Specific attention is paid to model building and computer applications in this text to show readers how the...
Barry Render, Ralph M. Stair, and Michael E. Hanna draw from their varying backgrounds and experiences to offer students a positively reviewed resource in their textbook Quantitative Analysis for Management (11th Edition), ISBN 9780132149112. Specific attention is paid to model building and computer applications in this text to show readers how the techniques presented are actually used in business. An added bonus of this resource is the inclusion of accompanying software that helps students focus on the managerial problem, while spending less time on the mathematical details of the algorithms. Excel 2010 has also been incorporated throughout this latest edition. Current and past users of Quantitative Analysis for Management (11th Edition) consistently rave of its positive features. Attributes most positively reviewed include the high-quality diagrams, easy-to-understand explanations, as well as its readability. The accompanying software is also a hit with users who appreciate the help it provides them in solving problems. Barry Render, Ralph M. Stair, and Michael E. Hanna incorporate 16 chapters to present the concepts of this book. This book begins with chapter 1 providing and 'Introduction to Quantitative Analysis' followed by chapter 2 discussing 'Probability Concepts and Applications.' Chapter 3 delves into 'Decision Analysis' while chapter 4 investigates 'Regression Models.' 'Forecasting' is the topic of choice in chapter 5 followed by 'Inventory Control Models' discussed in chapter 6 and 'Linear Programming Models: Graphical and Computer Methods' the focus of chapter 7. Chapter 8 examines 'Linear Programming Applications' with chapter 9 discussing 'Transportation and Assignment Models' and chapter 10 focusing on 'Integer Programming, Goal Programming, and Nonlinear Programming.' Chapter 11 explores 'Network Models' with chapter 12 investigating 'Project Management' and chapter 13 delving into 'Waiting Lines and Queuing Theory Models.' 'Simulation Modeling' is the focus of chapter 14 followed by 'Markov Analysis' presented in chapter 15. This book is concluded with chapter 16 devoted to 'Statistical Quality Control.'
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