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Demand Forecasting for Inventory Control

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Seitenzahl
200 Seiten
Lesezeit
7 Stunden

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Focusing on practical forecasting methods for inventory demands, this book covers various demand patterns such as trending and seasonal. It details techniques like regression, moving averages, and two-stage forecasts, alongside concepts like demand history and forecast error. The content is accessible, avoiding complex math while providing numerical examples for clarity. Designed for a broad audience, including professionals and students, it serves as a valuable reference for anyone involved in supply chain management and inventory control.

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Demand Forecasting for Inventory Control, Nick T. Thomopoulos

Sprache
Erscheinungsdatum
2016
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