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Neural Network를 이용한 기계-부품 그룹 형성에 관한 연구
A Study on the Machine-Part Group Formation with Neural Network

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Authors
강석호; 윤영민
Issue Date
1993
Publisher
서울대학교 경영정보연구소
Citation
Journal of information and operations management, Vol.03, pp. 62-85
Abstract
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.
Language
Korean
URI
http://hdl.handle.net/10371/52928
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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)
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