A Supervised Machine Learning-Based Approach for Task Workload Prediction in Manufacturing: A Case Study Application

A Supervised Machine Learning-Based Approach for Task Workload Prediction in Manufacturing: A Case Study Application

Predicting workload for tasks in manufacturing is a complex challenge due to the numerous variables involved. In small- and medium-sized enterprises (SMEs), this process is often experience-based, leading to inaccurate predictions that significantly impact production planning, order management, and...

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Bibliographic Details
Main Authors: Valentina De Simone, Valentina Di Pasquale, Joanna Calabrese, Salvatore Miranda, Raffaele Iannone
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Machines
Subjects:
supervised learning
AutoML
workload prediction
planning
SMEs
Online Access:https://www.mdpi.com/2075-1702/13/7/602
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