S-Space College of Business Administration/Business School (경영대학/대학원) Institute of Information and Operation Management (경영정보연구소) Journal of information and operations management (경영정보논총) Journal of information and operations management vol.03 (1993) (경영정보논총)
Neural Network를 이용한 기계-부품 그룹 형성에 관한 연구
A Study on the Machine-Part Group Formation with Neural Network
- 강석호; 윤영민
- Issue Date
- 서울대학교 경영정보연구소
- Journal of information and operations management, Vol.03, pp. 62-85
- this paper is concerned with the solution of machine-part group formation based on similarity of operations, considering both inter-machine load balance and inter-cell movements. To form groups based on similarity of operations, ART2 (Adaptive Resonance theory 2) model which is a kind of Neural Network and is efficent in pattern clustering and adaptability to changes of patterns is used. and A module is connected with ART2 to reduce the load of bottlenect machine and inter-cell movements. Computational experience is provided to demonstrate the usefulness of the proposed model. And it is expected that flexibility of operations will be improved by alternative machine as a solution.