Tibor Danis
About Tibor Danis
Tibor Danis is a Customer Quality Engineer at ON Semiconductor, where he has worked since 2013. He specializes in Lean Six Sigma methodologies and has successfully implemented process improvements that significantly enhanced manufacturing efficiency.
Work at ON Semiconductor
Tibor Danis has been employed at ON Semiconductor since 2013, currently holding the position of Customer Quality Engineer in Piešťany. His role focuses on ensuring product quality and customer satisfaction. Prior to this, he worked as a Process Engineer from 2006 to 2009 and served as Section Manager for one year in 2009. His extensive experience at ON Semiconductor spans over 11 years, during which he has contributed to various projects aimed at improving manufacturing processes.
Education and Expertise
Tibor Danis earned his Master of Science degree in electronics from Slovenská technická univerzita v Bratislave, where he studied from 1997 to 2003. He furthered his academic career as a PhD student at the same university from 2003 to 2006. His educational background is complemented by expertise in Lean Six Sigma methodologies, nanotechnology, and chemical vapor deposition, which are essential in modern manufacturing.
Background in Process Engineering
Before joining ON Semiconductor, Tibor Danis worked at TRW Steering System Slovakia s.r.o. as a Process Engineer from 2009 to 2012. His role involved optimizing manufacturing processes and improving production efficiency. He also held a position as a Process Engineer at ON Semiconductor prior to his managerial role, providing him with a solid foundation in process improvement and quality assurance.
Achievements in Manufacturing Processes
Tibor Danis has successfully implemented process improvements that significantly increased Overall Equipment Effectiveness (OEE) from 30% to 80% for a new product in the automotive sector. He has led initiatives to start and enhance an automated assembly line, resulting in cost savings exceeding $100,000. His proficiency in advanced statistical analysis techniques, including FMEA, SPC, and DOE, has been instrumental in enhancing production quality.