Feature-based memory association for group technology

International Journal of Production Research

Volumn 36, Issue 6, 1998, Pages 1653-1677

  Kao, Y ^a   Moon, Y B ^a  

^a Syracuse University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATIVE PROCESSING; ASSOCIATIVE STORAGE; COMPUTER SIMULATION; COST EFFECTIVENESS; INFORMATION RETRIEVAL; NEURAL NETWORKS; PROBLEM SOLVING; PROCESS CONTROL; PRODUCTION CONTROL; SCHEDULING; STRATEGIC PLANNING;

CODING AND CLASSIFICATION SYSTEMS (CCS); FEATURE BASED MEMORY ASSOCIATIONS NETWORKS (FBMAN); GROUP TECHNOLOGY (GT); PRODUCTION FLOW ANALYSIS (PFA);

FLEXIBLE MANUFACTURING SYSTEMS;

EID: 0032096897     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/002075498193219     Document Type: Article

References (31)

1. Bahrami, A., Dagli, C. H., and Modarress, B., 1991, Fuzzy associative memory in conceptual design. Proceedings of the International Joint Conference on Neural Networks, Seattle, 1, 183-188.
2. Burbidge, J. L., 1975, The Introduction of Group Technology (New York: Wiley).
3. Chen, S.-J., and Cheng, C.-S., 1995, A neural network-based cell formation algorithm in cellular manufacturing. International Journal of Production Research, 33 (2), 293-318.
4. Chu, C. H., 1993, Manufacturing cell formation by competitive learning. International Journal of Production Research, 31 (4), 829-843.
5. Chung, Y., and Kusiak, A., 1994, Grouping parts with a neural network. Journal of Manufacturing Systems, 13 (4), 262-275.
6. Currie, K. R., 1992, An intelligent grouping algorithmfor cellular manufacturing. Computers and Industrial Engineering, 23 (1-4), 109-112.
7. Dagli, C. H., and Huggahalli, R., 1991, Neural network approach for 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.
8. Dagli, C. H., and Huggahalli, R., 1995, Machine-part family formation with the adaptive resonance theory paradigm. International Journal of Production Research, 33 (4), 893-913.
9. Grossberg, S., 1976, Adaptive pattern classification and universal recording, part I: Parallel development and coding of neural feature detectors. Biological Cybernetics, 23, 121 134.
10. Grossberg, S., 1978, A theory of visual coding, memory, and development. In Formal Theories of Visual Perception, E. L. J. Leeuwenberg and H. F. J. M. Buggart (eds) (New York: Wiley).
11. Hyde, W. F., 1981, Improving Productivity by Classification, Coding and Database Standardization: the Key to Maximizing CAD/CAM and Group Technology (New York: Marcel Dekker).
12. Kao, Y., and Moon, Y. B., 1990, Learning part families by the backpropagation rule of neural networks. Proceedings of the First International Conference on Automation Technology, National Chiao Tung University, Hsinchu, Taiwan, July 4-6, pp. 819-824.
13. Kao, Y., and Moon, Y. B., 1991a, A unified group technology implementation using the backpropagation learning rule of neural networks. Computers and Industrial Engineering, 20 (4), 425-437.
14. Kao, Y., and Moon, Y. B., 1991b, A unified group technology implementation using ART-1 neural network model. Proceedings of the International Conference on Computer Integrated Manufacturing (ICCIM), GINTIC Institute of CIM, Nanyang Technological University, Singapore, pp. 279-282.
15. Kaparthi, S., and Suresh, N. C., 1991, A neural network system for shape-based classification and coding of rotational parts. International Journal of Production Research, 29 (9), 1771-17784.
16. Kaparthi, S., and Suresh, N. C., 1992, Machine-component cell formation in group technology: a neural network approach. International Journal of Production Research, 30 (6), 1353-1367.
17. Kusiak, A., and Chung, Y., 1991, GT/ART: using neural networks to form machine cells. Manufacturing Review, 4 (4), 293-301.
18. Liao, T. W., and Chen, L., 1993, An evaluation of ART1 Neural Networks for GT Part Family and Machine Cell Forming. Journal of Manufacturing Systems, 12 (4), 282-290.
19. Liao, T. W., and Lee, K. S., 1994, Integration of a feature-based CAD system and an ART1 neural model for GT coding and part family formation. Computers and Industrial Engineering, 26 (1), 93-104.
20. Malakooti, B., and Yang, Z., 1995, A variable-parameter on supervised learning clustering neural network approach with application to machine-part group formation. International Journal of Production Research, 33 (9), 2395-2413.
21. McAuley, J., 1972, Machine grouping for efficient production. Production Engineer, 51, 5357.
22. McClelland, J. L., and Rumelhart, D. E., 1988, Interactive activation and competition. In chapter 1, Explorations in Parallel Distributed Processing (Cambridge, MA: MIT Press), pp. 11-47.
23. Moon, Y. B., 1990a, An interactive activation and competition model for machine-part family formation in group technology. Proceedings of International Joint Conference on Neural Networks (IJCNN), Washington DC, January 15-19, 2, 667-670.
24. Moon, Y. B., 1990b, Forming part-machine families for cellular manufacturing: a neural network approach. International Journal of Advanced Manufacturing Technology, 5 (4), 278-291.
25. Moon, Y. B., 1992, Establishment of neurocomputing model for part family/machine group identification. Journal of Intelligent Manufacturing, 3, 173-182.
26. Moon, Y. B., and Chi, S. C., 1992, Generalized part family formation using neural network techniques. Journal of Manufacturing Systems, 11 (3), 149-159.
27. Moon, Y. B., and Kao, Y., 1993, Automatic generation of part families during part classification process for group technology. International Journal of Advanced Manufacturing Technology, 8 (3), 160-166.
28. Moon, Y. B., and Roy, U., 1992, Learning group-technology part families from solid models by parallel distributed processing. International Journal of Advanced Manufacturing Technology, 7 (2), 109-118.
29. Suresh, N. C., and Kaparthi, S., 1994, Performance of fuzzy ART neural network for group technology cell formation. International Journal of Production Research, 32 (7), 1693-1713.
30. Venugopal, V., and Narendran, T. T., 1992a, Neural network model for design retrieval in manufacturing systems. Computers in Industry, 20 (1), 11-23.
31. Venugopal, V., and Narendran, T. T., 1994, Machine-cell formation through neural network models. International Journal of Production Research, 32 (9), 2150-2116.