Quantitative Analysis for Management, 14th edition

Published by Pearson (March 5, 2024) © 2025

  • Barry Render Graduate School of Business, Rollins College
  • Ralph M. Stair Florida State University
  • Michael E. Hanna University of Houston - Clear Lake
  • Trevor S. Hale Texas A&M University

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ISBN-13: 9780138170851
Quantitative Analysis for Management
Published 2024

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Quantitative Analysis for Management helps you 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. You're first introduced to models and then you apply those models using step-by-step, how-to instructions and software.

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

  1. Introduction to Quantitative Analysis
  2. Probability Concepts and Applications
  3. Decision Analysis
  4. Regression Models
  5. Forecasting
  6. Inventory Control Models
  7. Linear Programming Models: Graphical and Computer Methods
  8. Linear Programming Applications
  9. Transportation, Assignment, and Network Models
  10. Integer Programming, Goal Programming, and Nonlinear Programming
  11. Project Management
  12. Waiting Lines and Queuing Theory Models
  13. Simulation Modeling
  14. Markov Analysis
  15. Statistical Quality Control

APPENDICES

  1. Areas Under the Standard Normal Curve
  2. Binomial Probabilities
  3. Values of for Use in the Poisson Distribution
  4. F Distribution Values
  5. Using POM-QM for Windows
  6. Using Excel QM and Excel Add-Ins
  7. Solutions to Selected Problems
  8. Solutions to Self-Tests

ONLINE MODULES

  1. Analytic Hierarchy Process
  2. Dynamic Programming
  3. Decision Theory and the Normal Distribution
  4. Game Theory
  5. Mathematical Tools: Determinants and Matrices
  6. Calculus-Based Optimization
  7. Linear Programming: The Simplex Method
  8. Transportation, Assignment, and Network Algorithms
  9. Business Analytics

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