Mohd Jefriy
About Mohd Jefriy
Mohd Jefriy is a Senior Industrial Engineer at onsemi in Malaysia, with a background in Electrical and Electronics Engineering. He has contributed to various projects that improved manufacturing processes and productivity, including the development of predictive data models and enhancements in defect analysis.
Work at Onsemi
Mohd Jefriy has been employed at onsemi since 2014, progressing from a Manufacturing Engineer to a Senior Industrial Engineer. He worked as a Manufacturing Engineer for four years until 2018, where he managed a team of approximately 60 Manufacturing Specialists in the BACKEND process area. In 2018, he transitioned to the role of Industrial Engineer, serving for two years before advancing to his current position as Senior Industrial Engineer in 2020. His responsibilities include leading projects to improve manufacturing processes and data analysis.
Education and Expertise
Mohd Jefriy earned a Bachelor's degree in Electrical and Electronics Engineering from Linton University College, completing his studies from 2010 to 2013. His educational background laid the foundation for his expertise in industrial engineering and data management. He further enhanced his skills through APF Software training in Pocatello, US, during his early career, focusing on data management techniques relevant to his roles in manufacturing and engineering.
Achievements
Throughout his career at onsemi, Mohd Jefriy has received recognition for his contributions to manufacturing efficiency. He was awarded the BRAVO AWARD for a self-initiative project that improved productivity and TURN/WIP metrics. His efforts led to significant improvements, including a 19% reduction in Chip & Crack defects and enhancements in BACKEND and PROBE yield/scrap rates. He also standardized scrap code for better data analysis and led a project that increased T/W rates while reducing cycle times.
Process Improvement Initiatives
In his role as Senior Industrial Engineer, Mohd Jefriy has led various initiatives aimed at optimizing manufacturing processes. Notably, he spearheaded a project to de-bottleneck the TAIKO PROCESS, achieving a substantial increase in throughput from 0.5 T/W to 1.4 T/W and reducing cycle times from 7-8 days to 4-5 days. He also improved the WIP dispatching system and overall line scheduling, addressing compliance issues and increasing output efficiency.