Business forecasting practical problems and solutions
"A comprehensive collection of the field's most provocative, influential new work Business Forecasting compiles some of the field's important and influential literature into a single, comprehensive reference for forecast modeling and process improvement. It is packed with provocative...
Otros Autores: | , , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Hoboken :
Wiley
2015.
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Colección: | Wiley ebooks.
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Acceso en línea: | Conectar con la versión electrónica |
Ver en Universidad de Navarra: | https://innopac.unav.es/record=b40608992*spi |
Tabla de Contenidos:
- Foreword ; Preface ; Chapter 1 Fundamental Considerations in Business Forecasting ; 1.1 Getting Real About Uncertainty (Goodwin
- Foresight) ; 1.2 What Demand Planners Can Learn from the Stock Market (ReCorr
- JBF) ; 1.3 Toward a More Precise Definition of Forecastability (Boylan
- Foresight) ; 1.4 Forecastability: A New Method (Schubert
- Foresight) ; 1.5 Forecast Errors and Their Avoidability (Morlidge
- Foresight) ; 1.6 The Perils of Benchmarking (Gilliland
- APICS eNews) ; 1.7 Can We Obtain Valid Benchmarks from Published Surveys of Forecast Accuracy? (Kolassa
- Foresight) ; 1.8 Defining 'Demand' for Demand Forecasting (Gilliland
- Foresight) ; 1.9 Using Forecasting to Steer the Business: Six Principles (Morlidge
- Foresight) ; 1.10 The Beauty of Forecasting (Orrell
- Foresight) ; Chapter 2 Methods of Statistical Forecasting ; 2.1 Confessions of a Pragmatic Forecaster (Chatfield
- Foresight) ; 2.2 New Evidence on the Value of Combining Forecasts (Goodwin
- Foresight) ; 2.3 How to Forecast Data Containing Outliers (Stellwagen
- Trends Newsletter) ; 2.4 Selecting Your Statistical Forecasting Level (Stellwagen
- ForecastPro blog) ; 2.5 When is a Flat-line Forecast Appropriate (Stellwagen
- ForecastPro blog) ; 2.6 Forecasting by Time Compression (Sglavo
- SAS whitepaper) ; 2.7 Data Mining for Forecasting: An Introduction (Wells & Rey
- new content
- adapt from book) ; 2.8 Process and Methods for Data Mining for Forecasting (Wells & Rey
- new content
- adapt from book) ; 2.9 Worst-Case Scenarios in Forecasting: How Bad Can Things Get (Batchelor
- Foresight) ; 2.10 Good Patterns, Bad Patterns (Batchelor
- Foresight) ; Chapter 3 Forecasting Performance Evaluation & and Reporting ; 3.1 Dos and Don'ts of Forecast Accuracy Measurement: A Tutorial (Tashman
- Foresight) ; 3.2 How to Track Forecast Accuracy to Guide Forecast Process Improvement (Hoover
- Foresight) ; 3.3 A "Softer" Approach to the Measurement of Forecast Accuracy (Boylan
- Foresight) ; 3.4 Measuring Forecast Accuracy (Hyndman
- new content) ; 3.5 Should We Define Forecast Error as e = F A or e = A F? (Green & Tashman
- Foresight) ; 3.6 Percentage Error: What Denominator? (Green & Tashman
- Foresight) ; 3.7 Percentage Errors Can Ruin Your Day (Kolassa & Martin
- Foresight) ; 3.8 Another Look at Forecast-Accuracy Metrics for Intermittent Demand (Hyndman
- Foresight) ; 3.9 Advantages of the MAD/Mean Ratio Over the MAPE (Kolassa & Schutz
- Foresight) ; 3.10 Use Scaled Errors Instead of Percentage Errors in Forecast Evaluations (Valentin
- Foresight) ; 3.11 An Expanded Prediction-Realization Diagram for Assessing Forecast Errors (Pearson
- Foresight) ; 3.12 Forecast Error Measures: Critical Review and Practical Recommendations (Davydenko & Fildes
- adapt from IJF) ; 3.13 Measuring the Quality of Intermittent Demand Forecasts: It's Worse than We've Thought! (Steve Morlidge
- Foresight) ; 3.14 Managing Forecasts by Exception (Stellwagen
- ForecastPro blog) ; 3.15 Using Process Behaviour Charts to Improve Forecasting and Decision-Making (Joseph & Finney
- Foresight) ; 3.16 Can Your Forecast Beat the Naïve Forecast (Snapp
- SCMFocus blog) ; Chapter 4 Process and Politics of Business Forecasting ; 4.1 FVA: A Reality Check on Forecasting Practices (Gilliland
- Foresight) ; 4.2 Where Should the Forecasting Function Reside (Lapide -JBF)[AU: Spell out JBF] ; 4.3 Setting Performance Objectives (Gilliland
- BFD blog)[AU: spell out BFD.] ; 4.4 Using Relative Error Metrics to Improve Forecast Quality in the Supply Chain (Morlidge
- Foresight) ; 4.5 Why Should I Trust Your Forecasts (Gonul, Onkal & Goodwin
- Foresight) ; 4.6 High on Complexity, Low on Evidence: Are Advanced Forecasting Methods Always as Good as They Seem? (Goodwin
- Foresight) ; 4.7 Should the Forecasting Process Eliminate Face-to-Face Meetings? (Armstrong
- Foresight) ; 4.8 The Impact of Sales Forecast Game Playing on Supply Chains (Mello
- Foresight) ; 4.9 Role of the Sales Force in Forecasting (Gilliland
- Foresight) ; 4.10 Good and Bad Judgment in Forecasting (Fildes & Goodwin
- Foresight) ; 4.11 Worst practices in new product forecasting (Gilliland
- JBF) ; 4.12 Sales & Operations Planning in the Retail Industry (Harwell
- JBF) ; 4.13 Sales & Operations Planning: Where Is It Going? (Wallace
- JBF) ; Index.