For courses in Management Science or Decision Modeling
A solid foundation in quantitative methods and management science
This popular text gives students a genuine foundation in business analytics, quantitative methods, and management science—and how to apply the concepts and techniques in the real world—through a strong emphasis on model building, computer applications, and examples. The authors’ approach presents mathematical models, with all of the necessary assumptions, in clear, plain English, and then applies the ensuing solution procedures to example problems along with step-by-step, how-to instructions. In instances in which the mathematical computations are intricate, the details are presented in a manner that ensures flexibility, allowing instructors to omit these sections without interrupting the flow of the material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the text.
Teaching and Learning Experience
This text provides a solid foundation in quantitative methods and management science. Here’s how:
- Students see clearly how concepts and techniques are used in real organizations.
- Outstanding in-text features provide reinforcement and ensure understanding.
- The text’s use of software allows instructors to focus on the managerial problem, while spending less time on the mathematical details of the algorithms.
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 Applications
Chapter 9 Transportation, Assignment, and Network Models
Chapter 10 Integer Programming, Goal Programming, and Nonlinear Programming
Chapter 11 Project Management
Chapter 12 Waiting Lines and Queuing Theory Models
Chapter 13 Simulation Modeling
Chapter 14 Markov Analysis
Chapter 15 Statistical Quality Control
Online Modules 1 Analytic Hierarchy Process
Online Modules 2 Dynamic Programming
Online Modules 3 Decision Theory and the Normal Distribution
Online Modules 4 Game Theory
Online Modules 5 Mathematical Tools: Determinants and Matrices
Online Modules 6 Calculus-Based Optimization
Online Modules 7 Linear Programming: The Simplex Method
Online Modules 8 Transportation, Assignment, and Network Algorithms
These online resources are available at no cost.
Companion Website for Quantitative Analysis for Management, 12th Edition
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