Part-Machine Grouping Using Production Data-based Part-Machine Incidence Matrix: Neural Network Approach - Part 2

생산자료기반 부품-기계 행렬을 이용한 부품-기계 그룹핑 : 인공신경망 접근법 - Part 2

This study deals with the part-machine grouping (PMG) that considers realistic manufacturing factors, such as the machine duplication, operation sequences with multiple visits to the same machine, and production volumes of parts. Basically, this study is an extension of Won(2006) that has adopted fuzzy ART neural network to group parts and machines. The proposed fuzzy ART neural network algorithm is implemented with an ancillary procedure to enhance the block diagonal solution by rearranging the order of input presentation. Computational experiments applied to large-size PMG data sets with a psuedo-replicated clustering procedure show effectiveness of the proposed approach.