Training and Seminars for Young Employees and Leadership Supervisors to Enhance Problem-Solving Skills

At the Takasaki Monozukuri Technology Research Institute, we are continuously conducting online training for young engineers in the manufacturing industry to enhance their skills. ■ Target Audience: Frontline leaders (design engineers, manufacturing engineers, quality assurance engineers) can apply as a company or individually. ■ Time: 1:30 PM to 5:30 PM (4 hours per session) ■ Participation Fee: 5,000 yen per individual or company (no limit on the number of participants) <Members: 3,000 yen> ■ Program 1. August 7 (Monday) 1:30 PM - Reliability design methods incorporating Toyota-style DRBFM/FMEA (1 day) - Quality building methods in upstream processes - Knowledge management methods for past troubles - Key points for reliability design in mechatronics equipment development - Implementation procedures for DRBFM/FMEA 2. August 30 (Wednesday) 1:30 PM - Quality management methods for zero trouble outflow in upstream processes (1 day) - Quality building methods in upstream processes - Knowledge management methods for past troubles - Standardization and work training methods - Daily business management methods - Immediate recurrence prevention measures on-site

This manual provides a detailed explanation of practical procedures for managing variability in manufacturing processes and quality improvement methods using statistical analysis techniques, such as t-tests, correlation analysis, regression analysis, and experimental design, based on MC processing data. In parts manufacturing, one of the challenges of machining parts with machine tools is improving dimensional accuracy. This manual addresses the variability in dimensional accuracy that arises from machining conditions (such as cutting speed, cutting amount, and feed rate) when machining automotive parts with end mills. It explains in detail the steps to statistically determine the optimal cutting conditions using regression analysis, correlation analysis, and experimental design, utilizing actual measurement data from machining tests.