Year
2024
Season
Fall
Paper Type
Master's Thesis
College
College of Computing, Engineering & Construction
Degree Name
Master of Science in Mechanical Engineering (MSME)
Department
Engineering
NACO controlled Corporate Body
University of North Florida. School of Engineering
First Advisor
Dr. Gökan May
Second Advisor
Dr. Jutima Simsiriwong
Third Advisor
Dr. AmirHossein MajidiRad
Department Chair
Dr. Alan.Harris
College Dean
Dr. Alan.Harris
Abstract
Medical device manufacturing faces several difficulties, including stringent regulatory requirements, the need for unparalleled precision, and a constant need to boost productivity. These demands are usually beyond the capabilities of conventional production techniques, particularly as devices get more complex and miniaturized. This thesis addresses these problems by integrating advanced vision systems and radio-frequency identification (RFID) technologies into a single-use sterile medical device assembly line.
This study examines the application of RFID technology for real-time product tracking, recording pass/fail outcomes at each station, and preventing the reuse of single-use products, thereby ensuring thorough traceability in the production process. Simultaneously, advanced vision systems are deployed to verify part correctness, detect missing components, and confirm proper assembly, enhancing quality control by identifying defects at the point of occurrence.
Two pilot studies were conducted to evaluate the effectiveness of the integrated system compared to a traditional assembly line. The results showed a considerable reduction in scrap rates, with the advanced system achieving a scrap reduction efficiency of around 53%, resulting in substantial cost savings. The findings demonstrate that merging advanced vision systems and RFID technology improves production efficiency and product quality while delivering reliable data for regulatory compliance and ongoing process improvement.
The necessity of integrating these technologies is highlighted by their long-term benefits, which include reduced waste, enhanced traceability, and higher compliance with regulatory standards. Despite the challenges of high initial investment costs and operator training, this study offers empirical evidence of the advantages of integrating cutting-edge technologies into medical device manufacturing. This research advances the field of smart manufacturing and helps manufacturers stay competitive in an increasingly automated market.
Suggested Citation
Gandhi, Dharani, "Enhancing manufacturing efficiency through advanced vision system and RFID technology integration" (2024). UNF Graduate Theses and Dissertations. 1295.
https://digitalcommons.unf.edu/etd/1295
