Modeling Operations Research and Business Analytics - Burks, Robert E.

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Résumé :
Preface, Chapter 1 Inventory Problem 1.1 INTRODUCTION 1.2 INVENTORY PROBLEMS 1.3 INVENTORY AND ECONOMIC ORDER QUANTITY (EOQ) 1.4 FACILITY LOCATION WITH AN OIL RIG LOCATION PROBLEM 1.5 COMPUTER CABLING LOCATION OF CENTRAL COMPUTER 1.6 EXERCISES Chapter 2 Product Mix: Linear Programming Problems 2.1 LINEAR PROGRAMMING PROBLEM INTRODUCTION 2.1.1 Formulations 2.2 SIMPLE MANUFACTURING EXAMPLE 2.3 FINANCIAL PLANNING 2.4 BLENDING FORMULATION EXAMPLE 2.5 PRODUCTION PLANNING PROBLEM 2.6 SHIPPING PROBLEM 2.7 PRODUCT MIX 2.8 SUPPLY CHAIN OPERATIONS (GASOLINE DISTRIBUTION) 2.9 PRODUCT MIX WITH LINDO 2.10 EXERCISES Chapter 3 Transportation and Shipping Problems 3.1 TRANSPORTATION AND SHIPPING WAREHOUSE PROBLEM 3.2 TRANSPORTATION NETWORK 3.3 EXERCISES Chapter 4 Assignment Models 4.1 TRAINING CENTERS AND OFFICES 4.2 EXERCISES Chapter 5 Mathematical Programming Methods 5.1 DATA ENVELOPMENT ANALYSIS (DEA) 5.2 MANUFACTURING PROBLEM WITH DEA 5.3 SHORTEST PATH PROBLEMS 5.4 MAXIMUM FLOW PROBLEM 5.5 CRITICAL PATH IN PROJECT PLAN NETWORK 5.6 MINIMUM COST FLOW PROBLEM 5.7 GENERAL INTEGER LINEAR PROGRAMS 5.8 MIXED INTEGER PROGRAMMING APPLICATION: EITHER-OR CONSTRAINTS 5.9 ILLUSTRIOUS EXAMPLES 5.10 AN ENGINEERING APPLICATION: MIXING SUBSTANCES 5.11 EXERCISES Chapter 6 Resource Allocation Models Using Dynamic Programming 6.1 INTRODUCTION: BASIC CONCEPTS AND THEORY 6.2 CHARACTERISTICS OF DYNAMIC PROGRAMMING 6.3 MODELING AND APPLICATIONS OF DISCRETE DYNAMIC PROGRAMMING 6.4 EXERCISES Chapter 7 Queuing Models 7.1 INTRODUCTION TO QUEUING THEORY 7.2 THE MULTI-SERVER PROBLEMS 7.3 EXERCISES Chapter 8 Simulation Models 8.1 MISSILE ATTACK 8.2 GASOLINE-INVENTORY SIMULATION 8.3 QUEUING MODEL 8.4 R APPLIED SIMULATION 8.5 EXERCISES 8.6 RECRUITING SIMULATION MODEL 8.7 SIMPLE QUEUING PROBLEM Chapter 9 System Reliability Modeling 9.1 INTRODUCTION TO RELIABILITY MODELING 9.2 MODELING COMPONENT RELIABILITY 9.3 MODELING SERIES AND PARALLEL COMPONENTS 9.4 MODELING ACTIVE REDUNDANT SYSTEMS 9.5 MODELING STANDBY REDUNDANT SYSTEMS 9.6 MODELS OF LARGE-SCALE SYSTEMS 9.7 EXERCISES Chapter 10 Modeling Decision-Making with Multi-Attribute Decision Modeling with Technology 10.1 INTRODUCTION 10.3 SIMPLE ADDITIVE WEIGHTS (SAW) METHOD 10.4 TECHNIQUE OF ORDER PREFERENCE BY SIMILARITY TO THE IDEAL SOLUTION (TOPSIS) 10.5 MODELING OF RANKING UNITS USING DATA ENVELOPMENT ANALYSIS (DEA) WITH LINEAR PROGRAMMING 10.6 ILLUSTRATIVE EXAMPLES 10.7 TECHNOLOGY FOR MULTI-ATTRIBUTE DECISION-MAKING (MADM) 10.8 EXERCISES Chapter 11 Regression Techniques 11.1 INTRODUCTION TO REGRESSION TECHNIQUES 11.2 MODEL FITTING AND LEAST SQUARES 11.3 THE DIFFERENT CURVE-FITTING CRITERION 11.4 DIAGNOSTICS AND INTERPRETATIONS 11.5 DIAGNOSTICS AND INFERENTIAL STATISTICS 11.6 POLYNOMIAL REGRESSION IN R 11.7 EXERCISES Chapter 12 Marketing Strategies and Competition Using Game Theory 12.1 TOTAL CONFLICT GAMES 12.2 THE PARTIAL CONFLICT GAME ANALYSIS WITHOUT COMMUNICATION 12.4 NASH ARBITRATION METHOD 12.5 EXERCISES, INDEX....

Sommaire:
This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics. als....