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This research article explores the use of machine learning for automated cost estimation in plastic injection molding parts, emphasizing the need for accurate early-stage cost assessments to enhance product development efficiency. A case study demonstrated that tree-based machine learning algorithms outperformed neural networks in estimating costs, particularly when predicting manufacturing parameters for each production step. The findings suggest that integrating machine learning into the cost estimation p

Author

prashant.sagar23

Language

EN