Machine-part family formation with the adaptive resonance theory paradigm-Reference-Cited by-同舟云学术

Machine-part family formation with the adaptive resonance theory paradigm

Published:1995-04 Issue:4 Volume:33 Page:893-913
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

DAGLI C.¹,HUGGAHALLI R.²

Affiliation:

1. a Engineering Management Department , University of Missouri-Rolla , Rolla, MO, 65401, USA

2. b Department of Electrical and Computer Engineering , University of South Carolina , Columbia, SC, 29208, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207549508930185

Reference25 articles.

1. Visual inspection of components for mechanized assembly

2. A manual method of production flow analysis

3. DAGLI , C. , and HUGGAHALLI , R. , 1991 , Neural Network Approach to Group Technology. In Knowledge Based Systems and Neural Networks-Techniques and Applications , R. Sharda, J. Y., Cheung, and N. J. Cochran (Eds) ( New York Elsevier ), pp. 213 – 228 .

4. Artificial Neural Networks for Intelligent Manufacturing

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