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After completing this chapter, students will be able to 1. 2. 3. Describe the quantitative analysis approach Understand the application of quantitative analysis in a real situation Describe the use of modeling in quantitative analysis Use computers and spreadsheet models to perform quantitative analysis Discuss possible problems in using quantitative analysis Perform a break-even analysis 4. 5. 6. After completing this chapter, students will be able te 1. 2. List the steps of the decision-making process. Describe the types of decision-making environments. Make decisions under uncertainty. Use probability values to make decisions under risk. 3. 4. After completing this chapter, students will be able to 1. 2. Develop accurate and useful decision trees. Revise probabilities using Bayesian analysis. Use computers to solve basic decision-making problems. Understand the importance and use of utility theory in decision making. 3. 4. 1.1 Introduction 1.2 What Is Quantitative Analysis? 1.3 The Quantitative Analysis Approach 1.4 How to Develop a Quantitative Analysis Model The Role of Computers and Spreadsheet Models in the Quantitative Analysis Approach 1.6 Possible Problems in the Quantitative Analysis Approach 1.7 Implementation Not Just the Final Step After completing this chapter, students will be able to 1. 2. 3. 4. Understand and know when to use various families of forecasting models. Compare moving averages, exponential smoothing, and other time-series models. Seasonally adjust data. Understand Delphi and other qualitative decision-making approaches. Compute a variety of error measures. 5. 5.1 Introduction 5.2 Types of Forecasts 5.3 Scatter Diagrams and Time Series 5.4 Measures of Forecast Accuracy 5.5 Time-Series Forecasting Models 5.6 Monitoring and Controlling Forecasts After completing this chapter, students will be able to 1. 2. 3. Describe the quantitative analysis approach Understand the application of quantitative analysis in a real situation Describe the use of modeling in quantitative analysis Use computers and spreadsheet models to perform quantitative analysis Discuss possible problems in using quantitative analysis Perform a break-even analysis 4. 5. 6. After completing this chapter, students will be able te 1. 2. List the steps of the decision-making process. Describe the types of decision-making environments. Make decisions under uncertainty. Use probability values to make decisions under risk. 3. 4. After completing this chapter, students will be able to 1. 2. Develop accurate and useful decision trees. Revise probabilities using Bayesian analysis. Use computers to solve basic decision-making problems. Understand the importance and use of utility theory in decision making. 3. 4. 1.1 Introduction 1.2 What Is Quantitative Analysis? 1.3 The Quantitative Analysis Approach 1.4 How to Develop a Quantitative Analysis Model The Role of Computers and Spreadsheet Models in the Quantitative Analysis Approach 1.6 Possible Problems in the Quantitative Analysis Approach 1.7 Implementation Not Just the Final Step After completing this chapter, students will be able to 1. 2. 3. 4. Understand and know when to use various families of forecasting models. Compare moving averages, exponential smoothing, and other time-series models. Seasonally adjust data. Understand Delphi and other qualitative decision-making approaches. Compute a variety of error measures. 5. 5.1 Introduction 5.2 Types of Forecasts 5.3 Scatter Diagrams and Time Series 5.4 Measures of Forecast Accuracy 5.5 Time-Series Forecasting Models 5.6 Monitoring and Controlling Forecasts
