Globalization, the economic uncertainties, and the explosive growth of information and　communication technologies have transformed the business world radically. A constant pres-　sure on companies to reduce costs while improving quality, efficiency, service and innova-tion, is on the daily agenda. In this complex and continuously evolving environment, a　company's ability to react to the challenges becomes of vital importance.

PART Ⅰ THE FUNDAMENTALS OF MANAGERIAL DECISION MAKING

CHAPTER 1 INTRODUCTION TO MANAGEMENT SCIENCE

 1.1 Introduction to Managerial Decision Making

 1.2 Trends Affecting Decision Making Today

 1.3 Key Characteristics of Management Science for Decision Making

 1.4 The Use of Models for Making Decisions

 1.5 The Use of Software in Decision Making

 1.6 Applications of Management Science in Business

 References

CHAPTER 2 AVOIDING BAD DECISIONS: The Methodology of Decision Making

 2.1 Introduction

 2.2 Decision Making Traps

 2.3 Decision Making Tips

 2.4 The Rational Methodology for Decision Making

 2.5 Identification of the Problem

 2.6 Analysis of the System

 2.7 Formulation of the Objectives

 2.8 Initial System Design

 2.9 Detailed System Design

 2.10 Solution Implementation and Monitoring

 References

PART Ⅱ MODELS IN MANAGERIAL DECISION MAKING

CHAPTER 3 LINEAR PROGRAMMING

 3.1 Introduction

 3.2 Characteristics of LP Problems

 3.3 A Maximization Problem

 3.4 A Trial-and-Error Approach in Solving LP Problems

 3.5 Graphical Solution of a LP Problem

 3.6 A Minimization Problem

 3.7 General Formulation and Assumptions of LP Models

 3.8 Solving LP Problems

 Problems

 References

CHAPTER 4 USING SOLVER TO SOLVE LINEAR PROGRAMMING PROBLEMS

 4.1 Introduction

 4.2 Introducing the Model in Excel

 4.3 Solving the Problem

 4.4 Understanding and Analyzing the SoluUon-bOLVER Reports

 4.5 Solving Integer Programming Problems with SOLVER

 4.6 Solving Non-Linear Programming Problems with SOLVER

 4.7 Conclusions

 Problems

 References

CHAPTER 5 SENSITIVITY ANALYSIS IN LINEAR PROGRAMMING

 5.1 Introduction

 5.2 An Example

 5.3 Dual Prices in LP

 5.4 Reduced Costs in LP

 5.5 Changes in the Objective Function's Coefficients

 5.6 Changes in the Right Hand Sides (RHS) of the Constraints

 5.7 Evaluation of a New Activity

 5.8 Conclusions

 Problems

 References

CHAPTER 6 INTEGER PROGRAMMING

 6.1 Introduction

 ……

CHAPTER 7 MULTI-CRITERIA DECISION MAKING

CHAPTER 8 STATISTICAL METHODS IN DECISION MAKING

CHAPTER 9 DECISION ANALYSIS

CHAPTER 10 SIMULATION

PART Ⅲ IMPLEMENTING MANAGEMENT SCIENCE IN PRACTICE

CHAPTER 11 GETTING TO KNOW YOUR CUSTOMER

CHAPTER 12 MARKETING AND SALES MANAGEMENET

CHAPTER 13 PRODUCTION AND INVENTORY MANAGEMENT

CHAPTER 14 NETWORKS AND TRANSPORT PROBLEMS

CHAPTER 15 LOGISTICS AND SUPPLY CHAIN MANAGEMENT

CHAPTER 16 MANAGING INVESTMENTS

CHAPTER 17 MANAGING UNCERTAINTY IN FINANCE

CHAPTER 18 HUMAN RESOURCES MANAGEMENT

CHAPTER 19 ORGANIZATIONAL REDESIGN

CHAPTER 20 USING MANAGEMENT SCINENCE IV THE WORLD