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Supply chain forecasting

Practical problems

Parameters

  • 112 pages
  • 4 hours of reading

More about the book

Focusing on practical applications, this book delves into forecast analysis and aggregate planning to help organizations reduce uncertainty and improve decision-making. It provides solved examples for calculating various operational indicators, utilizing methods such as Moving Average and Exponential Smoothing. Additionally, it presents quantitative exercises and formulates inventory problems through real-world scenarios, making it a valuable resource for understanding and applying forecasting techniques in business contexts.

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Supply chain forecasting, Rafael Granillo Macías

Language
Released
2022
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