An Introduction To
Management Science
Quantitative Approaches
To Decision Making
Twelfth Edition
David R. Anderson
University of Cincinnati
Dennis J. Sweeney
University of Cincinnati
Thomas A. Williams
Rochester Institute of Technology
R. Kipp Martin
University of Chicago
South-Western
Cincinnati, Ohio
Contents
Preface
Chapter 1: Introduction
♦ Scheduling a Golf League
Chapter 9: Project Scheduling: PERT/CPM
♦ R.C. Coleman
Chapter 2: An Introduction to Linear Programming
♦ Workload Balancing
♦ Production Strategy
♦ Hart Venture Capital
Chapter 10: Inventory Models
♦ Wagner Fabricating Company
♦ River City Fire Department
Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution
♦ Product Mix
♦ Investment Strategy
♦ Truck Leasing Strategy
Chapter 4: Linear Programming Applications in
Marketing, Finance and Operations Management
♦ Planning an Advertising Campaign
♦ Phoenix Computer
♦ Textile Mill Scheduling
♦ Workforce Scheduling
♦ Duke Energy Coal Allocation
Chapter 6: Distribution and Network Models
♦ Solution Plus
♦ Distribution Systems Design
Chapter 11: Waiting Line Models
♦ Regional Airlines
♦ Office Equipment, Inc.
Chapter 12: Simulation
♦ Tri-State Corporation
♦ Harbor Dunes Golf Course
♦ County Beverage Drive-Thru
Chapter 13: Decision Analysis
♦ Property Purchase Strategy
♦ Lawsuit Defense Strategy
Chapter 14: Multicriteria Decision Problems
♦ EZ Trailers, Inc.
Chapter 15: Forecasting
♦ Forecasting Sales
♦ Forecasting Lost Sales
Chapter 7: Integer Linear Programming
♦ Textbook Publishing
♦ Yeager National Bank
♦ Production Scheduling with Changeover Costs
Chapter 16: Markov Processes
♦ Dealer’s Absorbing State Probabilities in
Black Jack
Chapter 8: Nonlinear Optimization Models
♦ Portfolio Optimization with Transaction Costs
Chapter 21: Dynamic Programming
♦ Process Design
Preface
The purpose of An Introduction to Management Science is to provide students with a sound