Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This study applies Six-Sigma DMAIC methodology to enhance the efficiency of a manufacturing production line, specifically targeting the "gaps" between planned and actual working time. Key findings reveal that meetings, scanning, follow-up activities, walking, and other minor actions contribute significantly to these gaps. The identified "gaps" result in a 13% deviation from planned tasks. Recommendations for improvement include limiting meeting durations, addressing scanning machine issues, redistributing follow-up tasks, reallocating walking-related responsibilities, and implementing standardized processes. These improvements aim to optimize the line manager's activities and reduce wasteful actions, providing a potential avenue for increased productivity and cost savings in the manufacturing sector.