Machine Learning Based Poka Yoke Jig Fixture for Automotive Parts

Nowadays, all manufacturers around the world are trying to achieve efficiency as high as possible that being driven by global competition and the fast changing of market demand and needs. Efficiency becomes one of the most critical factors in order to reduce resources usage such as labors, materials, and machines which all leading to cost reduction and productivity increases. Lean manufacturing is a common methodology widely used by manufacturers around the world. The keys in order to apply lean manufacturing are efficiency and continuous improvement. Efficiency can be achieved towards the utilization of technology between shop floor and supporting business layers occurs in a system. While achieving the increased efficiency and productivity maintaining quality standards is very important. In this project we are designing a concept oriented modal of conveyor belt based production line. This line will be fully metal fabricated and sensor integrated. The line will carry the material and process as per the cycle time requirements with sensing of the parts dimensions, rejections and sorting them for avoiding the quality issues. Counter will be implemented at starting and ending of the line, this will help to monitor the use of raw material and exit of the finished goods so that all wastages and rejections can be overall monitored and kept under the control by wiser super and production managers. All this actions will be kept monitored and stored for future analysis onto the IOT Server of the production line. This will benefit the system in terms of analyzing the system performance efficiency and keys to improve the system if needed.