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In many cases industrial companies’ efficiency is limited by bad man-machine collaboration. In the time of intelligent manufacturing, more data can be collected and help companies to improve their efficiency. Therefore, a production line optimization method based on Man-Machine collaboration with the help of big data tools and sensors is introduced. At first, the production line will be analyzed and main data as machine cycle time, personnel operation time, task distribution etc. will be collected. Then based on these data, a simulation model will be made in plant simulation. After that, the performance of the production line will be evaluated considering the man-machine collaboration, work task distribution etc. and the optimization will be made. Afterwords, the machine cycle time, operator motion track and labor operation time in real production situation will be collected to compare and validate the optimization model.

Production line optimization based on Man-Machine collaborative improvement