Demand-Driven Forecasting: A Structured Approach to Forecasting (Wiley and SAS Business Series) - Hardcover

Über die Autorin bzw. den Autor

CHARLES W. CHASE Jr. is the Chief Industry Consultant in SAS's Manufacturing & Supply Chain Global Practice, where he is the principal architect and strategist for delivering demand planning and forecasting solutions to improve SAS customers' supply chain efficiencies. He has more than twenty-six years of experience in the consumer packaged goods industry, and is an expert in sales forecasting, market response modeling, econometrics, and supply chain management.

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DEMAND-DRIVEN FORECASTING

To become demand-driven, your business needs to identify the right market signals, build demand-sensing capabilities, define demand-shaping processes, and effectively translate demand signals to create a more effective response. Doable? Now it is, with Demand-Driven Forecasting, Second Edition.

Distinctive for its attention to practical demand forecasting challenges, Demand-Driven Forecasting, Second Edition is completely updated with a detailed look at improving the forecasting process to better meet customer demands. Author and demand forecasting leader Charles Chase presents both comprehensive coverage of statistical methods as well as how to apply them in practice within a demand-driven forecasting process using actual data and examples.

Featuring new case studies and examples, Demand-Driven Forecasting, Second Edition includes the contributions of the latest theoretical developments, while presenting current empirical findings and technology advancements. The new edition features new coverage on demand-shifting, nonseasonal and seasonal ARIMA models, transfer functions, and cross-correlation function plots.

Plus, the Second Edition explores:

• Weighted combined modeling
• New product forecasting using structured judgment
• Application of additive and multiplicative Winters methods
• Using graphical methods and plots to understand statistical output
• The most recent developments in demand-driven forecasting

Essential reading for every professional responsible for forecasting and demand planning, Demand-Driven Forecasting, Second Edition provides you with proven processes, methodologies, and performance metrics you can apply immediately for significant improvement in forecast accuracy.

Aus dem Klappentext

To become demand-driven, your business needs to identify the right market signals, build demand-sensing capabilities, define demand-shaping processes, and effectively translate demand signals to create a more effective response. Doable? Now it is, with Demand-Driven Forecasting, Second Edition.

Distinctive for its attention to practical demand forecasting challenges, Demand-Driven Forecasting, Second Edition is completely updated with a detailed look at improving the forecasting process to better meet customer demands. Author and demand forecasting leader Charles Chase presents both comprehensive coverage of statistical methods as well as how to apply them in practice within a demand-driven forecasting process using actual data and examples.

Featuring new case studies and examples, Demand-Driven Forecasting, Second Edition includes the contributions of the latest theoretical developments, while presenting current empirical findings and technology advancements. The new edition features new coverage on demand-shifting, nonseasonal and seasonal ARIMA models, transfer functions, and cross-correlation function plots.

Plus, the Second Edition explores:

• Weighted combined modeling
• New product forecasting using structured judgment
• Application of additive and multiplicative Winters methods
• Using graphical methods and plots to understand statistical output
• The most recent developments in demand-driven forecasting

Essential reading for every professional responsible for forecasting and demand planning, Demand-Driven Forecasting, Second Edition provides you with proven processes, methodologies, and performance metrics you can apply immediately for significant improvement in forecast accuracy.