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Prediction of Injection Mold Design Process Delays Using Machine Learning
머신러닝을 활용한 금형 설계공정 지연 예측
Risk management related to mold manufacturing schedules in the manufacturing industry, the foundation of modern industry is a subject of ongoing research. The mold manufacturing industry is facing a rapidly shifting manufacturing workforce, driven by intense price competition and an aging workforce. Furthermore, the industry is rapidly shifting from a focus on domestic production to a focus on global component manufacturing. This highlights the importance of an appropriate production schedule management system. For small and medium-sized enterprises (SMEs), delays in mold manufacturing delivery can make it difficult to secure future orders. Therefore, managing delivery delays can be crucial to a company's survival. Therefore, managing mold design delays is crucial to preventing delivery delays. Therefore, research on mold design process delays appropriate for SMEs is necessary. This study utilizes Random Forest Regression as predictive methods for mold design process delay time.
