In apparel manufacturing, decisions in operator task allocation and production line balancing greatly rely on the knowledge, experience and subjective assessment of production management. Their decisions are always found to be inconsistent and ineffective. Although current RFID-based data capture systems can facilitate the capture of production data and provide real-time reports, they cannot utilise the captured real time data for detailed analysis to assist the production management for better decision making. The RFID-based Apparel Management Expert (RAME) System utilising artificial intelligence techniques can generate effective and efficient solutions for operator task allocation and production line balancing.
The RFID-based Apparel Management Expert (RAME) System integrating with the real time production data captured by existing RFID system, adopts artificial intelligence techniques to generate effective and efficient solutions for operator task allocation and production line balancing of apparel manufacturers.
A non-exclusive licence covers:
|Gold Award in the category of “Most Innovative Use of EPC / RFID” in the 2012 HK RFID Awards (2012)|
|Silver Award in the category of “Best EPC / RFID Implementation” in the 2012 HK RFID Awards (2012)|
|Related ITF project|
|Research Start Date||2010-07-15|
B & S Equipment Development Limited