Enhancing manufacturing excellence with Lean Six Sigma and zero defects based on Industry 4.0

Improving quality, enhancing productivity, redesigning machining tools, eliminating waste in production, and shortening lead time are all objectives aimed at improving customer satisfaction increasing profitability for manufacturing companies. This study combines lean six sigma techniques to form a technique called Lean Six Sigma (LSS) by using the DMAIC (Define-Measure-Analysis-Improve-Control) model. proposes use statistical test models analyze real data collected directly from operator. The Taguchi optimization determine optimal conditions oil dipping tanks of molybdenum materials. In addition, also computer vision recognize objects color recognition running on LABVIEW software platform. builds digital numerical control (DNC) model operating signal processing techniques, linking each process together. results reduced rate defective parts whole stage 6.5 % zero defects, line production capacity increased 7.9 %, profit was USD 35762 per year. As valuable external outcome, conclusion LSS project fostered spirit continuous improvement. utilization research environment actual setting is significantly enhanced deployed with specific tasks targets member team, optimized, such as hole grinding process. Industry 4.0 including vision, control, commercial LabVIEW MINITAB, optimized use, simplifying operations. Some proposed directions future presented detail. For example, studying improvement quality 220 V power supply through harmonic mitigation factories an intriguing area investigation. Additionally, exploring security big context would be enhance technology future.