Business Forecasting : Practical Problems and Solutions.
Michael. Gilliland
Bok Engelsk 2016 · Electronic books.
| Omfang | 1 online resource (442 pages)
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| Utgave | 1st ed.
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| Opplysninger | Intro -- Praise -- Series -- Title page -- Copyright -- Foreword -- Preface -- Chapter 1 Fundamental Considerations in Business Forecasting -- 1.1 Getting Real about Uncertainty -- 1.2 What Demand Planners Can Learn from the Stock Market -- 1.3 Toward a More Precise Definition of Forecastability -- 1.4 Forecastablity: A New Method for Benchmarking and Driving Improvement -- 1.5 Forecast Errors and Their Avoidability -- 1.6 The Perils of Benchmarking -- 1.7 Can We Obtain Valid Benchmarks from Published Surveys of Forecast Accuracy? -- 1.8 Defining "Demand" for Demand Forecasting -- 1.9 Using Forecasting to Steer the Business: Six Principles -- 1.10 The Beauty of Forecasting -- Chapter 2 Methods of Statistical Forecasting -- 2.1 Confessions of a Pragmatic Forecaster -- 2.2 New Evidence on the Value of Combining Forecasts -- 2.3 How to Forecast Data Containing Outliers -- 2.4 Selecting Your Statistical Forecasting Level -- 2.5 When Is a Flat-line Forecast Appropriate? -- 2.6 Forecasting by Time Compression -- 2.7 Data Mining for Forecasting: An Introduction -- 2.8 Process and Methods for Data Mining for Forecasting -- 2.9 Worst-Case Scenarios in Forecasting: How Bad Can Things Get? -- 2.10 Good Patterns, Bad Patterns -- Chapter 3 Forecasting Performance Evaluation and Reporting -- 3.1 Dos and Don'ts of Forecast Accuracy Measurement: A Tutorial -- 3.2 How to Track Forecast Accuracy to Guide Forecast Process Improvement -- 3.3 A "Softer" Approach to the Measurement of Forecast Accuracy -- 3.4 Measuring Forecast Accuracy -- 3.5 Should We Define Forecast Error as e = F - A or e = A - F? -- 3.6 Percentage Error: What Denominator? -- 3.7 Percentage Errors Can Ruin Your Day -- 3.8 Another Look at Forecast-Accuracy Metrics for Intermittent Demand -- 3.9 Advantages of the MAD/Mean Ratio over the MAPE.. - 3.10 Use Scaled Errors Instead of Percentage Errors in Forecast Evaluations -- 3.11 An Expanded Prediction-Realization Diagram for Assessing Forecast Errors -- 3.12 Forecast Error Measures: Critical Review and Practical Recommendations -- 3.13 Measuring the Quality of Intermittent Demand Forecasts: It's Worse than We've Thought! -- 3.14 Managing Forecasts by Exception -- 3.15 Using Process Behavior Charts to Improve Forecasting and Decision Making -- 3.16 Can Your Forecast Beat the Naïve Forecast? -- Chapter 4 Process and Politics of Business Forecasting -- 4.1 FVA: A Reality Check on Forecasting Practices -- 4.2 Where Should the Forecasting Function Reside? -- 4.3 Setting Forecasting Performance Objectives -- 4.4 Using Relative Error Metrics to Improve Forecast Quality in the Supply Chain -- 4.5 Why Should I Trust Your Forecasts? -- 4.6 High on Complexity, Low on Evidence: Are Advanced Forecasting Methods Always as Good as They Seem? -- 4.7 Should the Forecasting Process Eliminate Face-to-Face Meetings? -- 4.8 The Impact of Sales Forecast Game Playing on Supply Chains -- 4.9 Role of the Sales Force in Forecasting -- 4.10 Good and Bad Judgment in Forecasting: Lessons from Four Companies -- 4.11 Worst Practices in New Product Forecasting -- 4.12 Sales and Operations Planning in the Retail Industry -- 4.13 Sales and Operations Planning: Where Is It Going? -- About the Editors -- Index -- EULA.
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 9781119228271
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