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Demand Forecasting for Inventory Control

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200 Seiten
Lesezeit
7 Stunden

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The book offers practical forecasting methods for inventory demand at holding locations, addressing various patterns such as seasonal and trending demands. It covers techniques like regression, moving averages, and forecast error analysis, emphasizing accessibility with minimal complex mathematics. Readers will find numerical examples to aid in application, making it suitable for both students and professionals in fields like supply chain management and industrial engineering. Its comprehensive approach makes it a valuable reference for a wide audience, including MBA graduates and industry practitioners.

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Demand Forecasting for Inventory Control, Nick T. Thomopoulos

Sprache
Erscheinungsdatum
2014
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(Hardcover)
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