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# An Introduction to Management Science: Quantitative Approach By: Anderson; Sweeney; Williams

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- Contents
- Preface
- About the Authors
- Chapter 1: Introduction
- 1.1 Problem Solving and Decision Making
- 1.2 Quantitative Analysis and Decision Making
- 1.3 Quantitative Analysis
- 1.4 Models of Cost, Revenue, and Profit
- 1.5 Management Science Techniques
- Summary
- Glossary
- Problems
- Case Problem Scheduling a Golf League
- Appendix 1.1 Using Excel for Breakeven Analysis
- Chapter 2: An Introduction to Linear Programming
- 2.1 A Simple Maximization Problem
- 2.2 Graphical Solution Procedure
- 2.3 Extreme Points and the Optimal Solution
- 2.4 Computer Solution of the Par, Inc., Problem
- 2.5 A Simple Minimization Problem
- 2.6 Special Cases
- 2.7 General Linear Programming Notation
- Summary
- Glossary
- Problems
- Case Problem 1 Workload Balancing
- Case Problem 2 Production Strategy
- Case Problem 3 Hart Venture Capital
- Appendix 2.1 Solving Linear Programs with Excel Solver
- Appendix 2.2 Solving Linear Programs with LINGO
- Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution
- 3.1 Introduction to Sensitivity Analysis
- 3.2 Graphical Sensitivity Analysis
- 3.3 Sensitivity Analysis: Computer Solution
- 3.4 Limitations of Classical Sensitivity Analysis
- 3.5 The Electronic Communications Problem
- Summary
- Glossary
- Problems
- Case Problem 1 Product Mix
- Case Problem 2 Investment Strategy
- Case Problem 3 Truck Leasing Strategy
- Appendix 3.1 Sensitivity Analysis with Excel Solver
- Appendix 3.2 Sensitivity Analysis with LINGO
- Chapter 4: Linear Programming Applications in Marketing, Finance, and Operations Management
- 4.1 Marketing Applications
- 4.2 Financial Applications
- 4.3 Operations Management Applications
- Summary
- Problems
- Case Problem 1 Planning an Advertising Campaign
- Case Problem 2 Schneider's Sweet Shop
- Case Problem 3 Textile Mill Scheduling
- Case Problem 4 Workforce Scheduling
- Case Problem 5 Duke Energy Coal Allocation
- Appendix 4.1 Excel Solution of Hewlitt Corporation Financial Planning Problem
- Chapter 5: Advanced Linear Programming Applications
- 5.1 Data Envelopment Analysis
- 5.2 Revenue Management
- 5.3 Portfolio Models and Asset Allocation
- 5.4 Game Theory
- Summary
- Glossary
- Problems
- Chapter 6: Distribution and Network Models
- 6.1 Supply Chain Models
- 6.2 Assignment Problem
- 6.3 Shortest-Route Problem
- 6.4 Maximal Flow Problem
- 6.5 A Production and Inventory Application
- Summary
- Glossary
- Problems
- Case Problem 1 Solutions Plus
- Case Problem 2 Supply Chain Design
- Appendix 6.1 Excel Solution of Transportation, Transshipment, and Assignment Problems
- Chapter 7: Integer Linear Programming
- 7.1 Types of Integer Linear Programming Models
- 7.2 Graphical and Computer Solutions for an All-Integer Linear Program
- 7.3 Applications Involving 0-1 Variables
- 7.4 Modeling Flexibility Provided by 0-1 Integer Variables
- Summary
- Glossary
- Problems
- Case Problem 1 Textbook Publishing
- Case Problem 2 Yeager National Bank
- Case Problem 3 Production Scheduling with Changeover Costs
- Case Problem 4 Applecore Children's Clothing
- Appendix 7.1 Excel Solution of Integer Linear Programs
- Appendix 7.2 LINGO Solution of Integer Linear Programs
- Chapter 8: Nonlinear Optimization Models
- 8.1 A Production Application-Par, Inc., Revisited
- 8.2 Constructing an Index Fund
- 8.3 Markowitz Portfolio Model
- 8.4 Blending: The Pooling Problem
- 8.5 Forecasting Adoption of a New Product
- Summary
- Glossary
- Problems
- Case Problem 1 Portfolio Optimization with Transaction Costs
- Case Problem 2 Cafe Compliance in the Auto Industry
- Appendix 8.1 Solving Nonlinear Problems with Excel Solver
- Appendix 8.2 Solving Nonlinear Problems with LINGO
- Chapter 9: Project Scheduling: PERT/CPM
- 9.1 Project Scheduling Based on Expected Activity Times
- 9.2 Project Scheduling Considering Uncertain Activity Times
- 9.3 Considering Time-Cost Trade-Offs
- Summary
- Glossary
- Problems
- Case Problem 1 R. C. Coleman
- Appendix 9.1 Finding Cumulative Probabilities for Normally Distributed Random Variables
- Chapter 10: Inventory Models
- 10.1 Economic Order Quantity (EOQ) Model
- 10.2 Economic Production Lot Size Model
- 10.3 Inventory Model with Planned Shortages
- 10.4 Quantity Discounts for the EOQ Model
- 10.5 Single-Period Inventory Model with Probabilistic Demand
- 10.6 Order-Quantity, Reorder Point Model with Probabilistic Demand
- 10.7 Periodic Review Model with Probabilistic Demand
- Summary
- Glossary
- Problems
- Case Problem 1 Wagner Fabricating Company
- Case Problem 2 River City Fire Department
- Appendix 10.1 Development of the Optimal Order Quantity (Q) Formula for the EOQ Model
- Appendix 10.2 Development of the Optimal Lot Size (Q*) Formula for the Production Lot Size Model
- Chapter 11: Waiting Line Models
- 11.1 Structure of a Waiting Line System
- 11.2 Single-Server Waiting Line Model with Poisson Arrivals and Exponential Service Times
- 11.3 Multiple-Server Waiting Line Model with Poisson Arrivals and Exponential Service Times
- 11.4 Some General Relationships for Waiting Line Models
- 11.5 Economic Analysis of Waiting Lines
- 11.6 Other Waiting Line Models
- 11.7 Single-Server Waiting Line Model with Poisson Arrivals and Arbitrary Service Times
- 11.8 Multiple-Server Model with Poisson Arrivals, Arbitrary Service Times, and No Waiting Line
- 11.9 Waiting Line Models with Finite Calling Populations
- Summary
- Glossary
- Problems
- Case Problem 1 Regional Airlines
- Case Problem 2 Office Equipment, Inc.
- Chapter 12: Simulation
- 12.1 What-If Analysis
- 12.2 Simulation of Sanotronics Problem
- 12.3 Inventory Simulation
- 12.4 Waiting Line Simulation
- 12.5 Simulation Considerations
- Summary
- Glossary
- Problems
- Case Problem 1 Four Corners
- Case Problem 2 Harbor Dunes Golf Course
- Case Problem 3 County Beverage Drive-Thru
- Appendix 12.1 Probability Distributions for Random Variables
- Appendix 12.2 Simulation with Analytic Solver
- Chapter 13: Decision Analysis
- 13.1 Problem Formulation
- 13.2 Decision Making without Probabilities
- 13.3 Decision Making with Probabilities
- 13.4 Risk Analysis and Sensitivity Analysis
- 13.5 Decision Analysis with Sample Information
- 13.6 Computing Branch Probabilities with Bayes' Theorem
- 13.7 Utility Theory
- Summary
- Glossary
- Problems
- Case Problem 1 Property Purchase Strategy
- Case Problem 2 Lawsuit Defense Strategy
- Case Problem 3 Rob's Market
- Case Problem 4 College Softball Recruiting
- Appendix 13.1 Decision Trees with Analytic Solver
- Chapter 14: Multicriteria Decisions
- 14.1 Goal Programming: Formulation and Graphical Solution
- 14.2 Goal Programming: Solving More Complex Problems
- 14.3 Scoring Models
- 14.4 Analytic Hierarchy Process
- 14.5 Establishing Priorities Using AHP
- 14.6 Using AHP to Develop an Overall Priority Ranking
- Summary
- Glossary
- Problems
- Case Problem 1 EZ Trailers, Inc.
- Appendix 14.1 Scoring Models with Excel
- Chapter 15: Time Series Analysis and Forecasting
- 15.1 Time Series Patterns
- 15.2 Forecast Accuracy
- 15.3 Moving Averages and Exponential Smoothing
- 15.4 Linear Trend Projection
- 15.5 Seasonality
- Summary
- Glossary
- Problems
- Case Problem 1 Forecasting Food and Beverage Sales
- Case Problem 2 Forecasting Lost Sales
- Appendix 15.1 Forecasting with Excel Data Analysis Tools
- Appendix 15.2 Using the Excel Forecast Sheet
- Appendices
- Appendix A: Building Spreadsheet Models
- Appendix B: Areas for the Standard Normal Distribution
- Appendix C: Values of e-lambda
- Appendix D: References and Bibliography
- Appendix E: Self-Test Solutions and Answers to Even-Numbered E

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## [Solved] An Introduction to Management Science: Quantitative Approach By: Anderson; Sweeney; Williams

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- Submitted On 15 Oct, 2021 01:01:46

Answer posted by

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**No Rating** - Questions : 0
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Contents
Preface
About the Authors
Chapter 1: Introduction
1.1 Problem Solving and Decision Making
1.2 Quantitative Analysis and Decision Making
1.3 Quantitative Analysis
1.4 Models of Cost, Revenue, and Profit
1.5 Management Science Techniques
Summary
Glossary
Problems
Case Problem Scheduling a Golf League
Appendix 1.1 Using Excel for Breakeven Analysis
Chapter 2: An Introduction to Linear Programming
2.1 A Simple Maximization Problem
2.2 Graphical Solution Procedure
2.3 Extreme Points and the Optimal Solution
2.4 Computer Solution of the Par, Inc., Problem
2.5 A Simple Minimization Problem
2.6 Special Cases
2.7 General Linear Programming Notation
Summary
Glossary
Problems
Case Problem 1 Workload Balancing
Case Problem 2 Production Strategy
Case Problem 3 Hart Venture Capital
Appendix 2.1 Solving Linear Programs with Excel Solver
Appendix 2.2 Solving Linear Programs with LINGO
Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution
3.1 Introduction to Sensitivity Analysis
3.2 Graphical Sensitivity Analysis
3.3 Sensitivity Analysis: Computer Solution
3.4 Limitations of Classical Sensitivity Analysis
3.5 The Electronic Communications Problem
Summary
Glossary
Problems
Case Problem 1 Product Mix
Case Problem 2 Investment Strategy
Case Problem 3 Truck Leasing Strategy
Appendix 3.1 Sensitivity Analysis with Excel Solver
Appendix 3.2 Sensitivity Analysis with LINGO
Chapter 4: Linear Programming Applications in Marketing, Finance, and Operations Management
4.1 Marketing Applications
4.2 Financial Applications
4.3 Operations Management Applications
Summary
Problems
Case Problem 1 Planning an Advertising Campaign
Case Problem 2 Schneider's Sweet Shop
Case Problem 3 Textile Mill Scheduling
Case Problem 4 Workforce Scheduling
Case Problem 5 Duke Ene...

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