Forecasting Raw Material Yield in the Tanning Industry: A Machine Learning Approach

Forecasting Raw Material Yield in the Tanning Industry: A Machine Learning Approach

This study presents an innovative machine learning (ML) approach to predicting raw material yield in the leather tanning industry, addressing a critical challenge in production efficiency. Conducted at a tannery in southern Brazil, the research leverages historical production data to develop a predi...

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Bibliographic Details
Main Authors: Ismael Cristofer Baierle, Leandro Haupt, João Carlos Furtado, Eluza Toledo Pinheiro, Miguel Afonso Sellitto
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Forecasting
Subjects:
machine learning
digital technologies
prediction model
leather
forecasting
Online Access:https://www.mdpi.com/2571-9394/6/4/54
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