An Artificial Neural Network for Job Scheduling under Just-In-Time Environment

JIT(Just-In-Time) 하의 작업스케쥴링을 위한 인공신경망

JIT manufacturing requires that materials and services should be done neither too early nor tardy. Therefore, related jobs have to be performed just-in-time. In this paper, we consider a problem of determining a schedule of jobs with a common due date. The objective is to minimize the squared deviation of complete times from the due date. An artificial neural network which is based on the mean field theory is proposed for the problem. Computational results obtained from computer simulations show that the network performs very well.