Simulated Annealing Neural Network Model for Sequencing in a Mixed Model Assembly Line

혼합형 조립라인의 투입순서결정을 위한 시뮬레이티드 어닐링 신경망모형

This paper deals with a simulated annealing neural network model for determining sequences of models inputted into a mixed model assembly line. We first present a energy function fitting to our problem, next determine the value of the parameters of the energy function using convergence ratio and the number of searched feasible solution. Finally we compare our model NMS with the modified Thomopoulos model. The result of the comparison shows that NMS and Thomopoulos offer a similar output in the problems having good smoothness.