A study on operator allocation aiming at the skill improvement for cell production system

Abstract

The cell manufacturing system of a labor concentration type is still in the important position of the manufacturing industry at this stage. Since an operator's skill is greatly related to productivity in labor concentration type cell productions, the operator's effective training is important. On the other hand, when operators learn and acquire the multi-skill tasks, the level of difficulty in their mastery depends on the contents of target operations, so a sufficient plan for training is required. In this study, the main objective is the rapid improvement of operator's skill. Therefore, after classifying operator's skills about all the operation tasks, we try to optimize the task allocation in training mode, and evaluate its validity quantitatively.