인공신경망을 이용한 계획 공정 프로세스 군집 예측

In order for recent manufacturing to meet customer demand in the complex production environments, many conditions need to be satisfied. In such environments of the increased order requirements of the production, the frequent change of the production process may occur. With current production technology, it is difficult to prepare an exact process plan due to the uncertain customer demand. In this paper, we develop a method to prepare a production process by utilizing artificial neural network (ANN) to classify the process into a cluster group considering the various requirements. As a result, we expect that it can contribute to improving the efficiency of real steel manufacturing company, of which we will show a case study.