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Author/Affiliation: Ahmet Emin ÜnalOpen AccessArticle
11 Pages, 595 KB 
Utilizing 3D models for the Prediction of Work Man-Hour in Complex Industrial Products using Machine Learning
Abstract:
The integration of machine learning techniques in industrial production has the potential to revolutionize traditional manufacturing processes. In this study, we examine the efficacy of gradient-boosting machine learning models, specifically focusing on feature engineering techniques, applied to a novel dataset with 3D product models pertaining to work moan-hours in metal sheet stamping projects, framed as…
Read More(This article belongs to the SP17 (Special Issue on Innovation in Computing, Engineering Science & Technology 2024-25) & Section Industrial Engineering (EID))