CHAPTER 1 INTRODUCTION TO QUANTITATIVE

METHODS FOR DECISION MAKING

1.1　Quantitative Methods:A Continuing Story of Success

1.2 Management Science and Operations Research

1.3 The Importance of Studying Quantitative Methods

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CHAPTER 2 FORECASTING

2.1 Forecasting Using Past Data:Time-series Analysis

2.2 Exponential Smoothing

2.3 Forecasting Trend Using Regression

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CHAPTER 3 INVENTORY MODELS

3.1 Introduction

3.2 The Economic Order Quantity(EOQ)Model

3.3 Optimal Inventory Policy with Backordering

3.4 Economic Production Lot-size Model

3.5 Single-period Inventory Decisions with Uncertain Factors

3.6 Multi-period Inventory Policies with Uncertain Factors

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CHAPTER 4 LINEAR PROGRAMMING

4.1 Introduction

4.2 Formulation of Linear Programming Models

4.3 Graphical Solution of Linear Programs

4.4 Linear Program in Standard Form

4.5 Simplex Method

4.6 Use of Artificial Variables

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CHAPTER 5 TRANSPORTATION PROBLEMS

5.1 A Shipment-Scheduling Case

5.2 Getting Started:The Northwest Corner Ruler

5.3 Getting Started:The Least Cost Ruler

5.4 Getting Started:The Vogel's Approximation Ruler

5.5 Solving the Problem:The Simplex Analogy

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CHAPTER 6 PROJECT PLANNING WITH PERT

6.1 The Basic Concepts of PERT

6.2 An Analysis of the PERT Network

6.3 Planning and Control Using the PERT Network

6.4 Time-Cost Trade-off Evaluations with PERT

6.5 Probabilistic PERT Analysis with Three Time Estimates

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CHAPTER 7 DECISION MAKING

7.1 The Certainty and Uncertainty in Decision Making

7.2 The Elements of Decisions

7.3 The Bayes Decision Rule

7.4 The Decision Tree Analysis

7.5 Decision Making Using Experimental Information

7.6 Decision Making Using Normal Distribution

7.7 Decision Making with Utility

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CHAPTER 8 GAMES-INTERACTIVE DECISIONS

8.1 Game Theory

8.2 Major Game Types and Their Solutions

8.3 Some Properties of Zero-Sum Games

8.4 Mixed Strategies in Games with no Equilibrium Act Pair

8.5 Mixed Strategies in Larger Games

8.6 Additional Remarks

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CHAPTER 9 DYNAMIC PROGRAMMING

9.1 The Stagecoach Problem

9.2 Types of Dynamic Programs

9.3 The Knapsack Problem

9.4 Maximizing System Reliability

9.5 Optimizing Multi-period Inventories and Production

9.6 Probabilistic Dynamic Programming

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CHAPTER 10 RANDOM PROCESSES

10.1 Discrete Time Processes

10.2 Continuous Time Processes

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