Quantitative Analysis for Management – Barry Render – 10th Edition


Easy to understand-even for learners with limited math backgrounds, this uses a approach to provide thorough coverage of the basic techniques in quantitative and focuses on the applications of these techniques. An interesting and reader friendly writing style makes for a clear presentation, complete with all the necessary assumptions and mathematical details.

Render/Stair/Hanna puts an emphasis on model building and computer applications to show students how the techniques presented in the book are used in .

Chapter topics include probability concepts and applications, decision models and decision trees, regression models, forecasting, inventory models, programming modeling applications and computer analyses, network models, project management, modeling, and more.

Table of Contents

CHAPTER 1 Introduction to Quantitative Analysis
CHAPTER 2 Probability Concepts and Applications
CHAPTER 3 Decision Analysis
CHAPTER 4 Regression Models
CHAPTER 5 Forecasting
CHAPTER 6 Inventory Control Models
CHAPTER 7 Linear Programming Models: Graphical and Computer Methods
CHAPTER 8 Linear Programming Modeling Applications: With Computer Analyses in Excel and QM for Windows
CHAPTER 9 Linear Programming: The Simplex Method
CHAPTER 10 Transportation and Assignment Models
CHAPTER 11 Integer Programming, Goal Programming, and Nonlinear Programming
CHAPTER 12 Network Models
CHAPTER 13 Project Management
CHAPTER 14 Waiting Lines and Queuing Theory Models
CHAPTER 15 Simulation Modeling
CHAPTER 16 Markov Analysis
CHAPTER 17 Statistical Quality Control
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