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Inventory system prediction is considered an important topic for companies in the industrial sector due to the benefits it brings. By implementing artificial neural networks, an artificial intelligence method, it is possible to obtain accurate results. By analyzing data from 1 year of supplies in 18 types of belts and using the MATLAB® program, it was possible to create, train, and validate the most appropriate architecture of the neural network to meet the stated objectives, generating precise modeling and demonstrating an acceptable correlation between the real response and the calculated one.

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Use of Neural Networks to Model an Inventory System as a Family of Industrial Belts Within the Supply Chain

  • 章节

  • 发表日期：

    2025年

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  • Heredia-Roldán Miguel Josué,
  • Báez Sentíes Oscar,
  • Gurruchaga-Rodríguez María Eloisa,
  • Betanzo Torres Erick Arturo

摘要

Inventory system prediction is considered an important topic for companies in the industrial sector due to the benefits it brings. By implementing artificial neural networks, an artificial intelligence method, it is possible to obtain accurate results. By analyzing data from 1 year of supplies in 18 types of belts and using the MATLAB® program, it was possible to create, train, and validate the most appropriate architecture of the neural network to meet the stated objectives, generating precise modeling and demonstrating an acceptable correlation between the real response and the calculated one.