Quantitative Analysis for Management, 13th edition

Published by Pearson (August 1, 2021) © 2018

  • 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: 9780137501403 (2021 update)

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This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed.

For courses in management science and decision modeling.

Foundational understanding of management science through real-world problems and solutions

Quantitative Analysis for Management helps students to develop a real-world understanding of business analytics, quantitative methods, and management science by emphasizing model building, tangible examples, and computer applications. The authors offer an accessible introduction to mathematical models and then students apply those models using step-by-step, how-to instructions. For more intricate mathematical procedures, the 13th Edition offers a flexible approach, allowing instructors to omit specific sections without interrupting the flow of the material. Supporting computer software enables instructors to focus on the managerial problems and solutions, rather than spending valuable class time on the details of algorithms.

Brief Contents

  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

Online Module 1: Analytic Hierarchy Process

Online Module 2: Dynamic Programming

Online Module 3: Decision Theory and the Normal Distribution

Online Module 4: Game Theory

Online Module 5: Mathematical Tools: Determinants and Matrices

Online Module 6: Calculus-Based Optimization

Online Module 7: Linear Programming: The Simplex Method

Online Module 8: Transportation, Assignment, and Network Algorithms

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