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.

Powder Injection Molding (PIM) has recently been recognized as an advanced manufacturing technology for low-cost mass production of metal or ceramic parts of complicated geometry. With this regards, design technology of dental scaler tip PIM mold, which has complex shape, with the help of computer-aided analysis for powder injection molding process was developed. Compter aided analysis results, such as filling pattern, weldline formation, and air vent position prediction were investigated and eventually showed good agreements with experimental results.