An efficient method for creating benchmark classifications for automatic workpiece classification systems

International Journal of Advanced Manufacturing Technology

Volumn 14, Issue 7, 1998, Pages 481-494

  Hsu, S H ^a,b   Hsia, T C ^a   Wu, M C ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b Department of Industrial Engineering ^*  (Taiwan)

Author keywords

Automatic workpiece classification system; Classification benchmarks; Full data classification; Lean classification

Indexed keywords

CELLULAR MANUFACTURING; COMPUTER AIDED MANUFACTURING; PATTERN RECOGNITION SYSTEMS;

AUTOMATIC WORKPIECE CLASSIFICATION SYSTEM; FULL DATA CLASSIFICATION; LEAN CLASSIFICATION;

GROUP TECHNOLOGY;

EID: 0031634307     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01351394     Document Type: Article

References (16)

1. A. Bhadra and G. W. Fischer, "A new GT classification approach: a data base with graphical dimensions", Manufacturing Review, 11, pp. 44-49, 1988.
2. C. S. Chcn, "A form feature oriented coding scheme", Computers and Industrial Engineering, 17, pp. 227-233, 1989.
3. M. R. Henderson and S. Musti, "Automated group technology part coding from a three-dimensional CAD data-base", Transactions of the ASME Journal of Engineering for Industry, 110, pp. 278-287, 1988.
4. S. Kaparthi and N. Suresh, "A neural network system for shape-based classification and coding of rotational parts", International Journal of Production Research, 29, pp. 1771-1784, 1991.
5. T. Lenau and L. Mu, "Features in integrated modeling of products and their production", International Journal of Computer Integrated Manufacturing, 6(1 and 2), pp. 65-73, 1993.
6. M. C. Wu, J. R. Chen and S. R. Jen, "Global shape information modeling and classification of 2D workpieces", International Journal of Computer Integrated Manufacturing, 7(5), pp. 216-275, 1994.
7. M. C. Wu and S. R. Jen, "A neural network approach to the classification of 3D prismatic pans", International Journal of Advanced Manufacturing Technology, 11, pp. 325-335, 1996.
8. S. H. Hsu, T. C. Hsia and M. C. Wu, "A flexible classification method for evaluating the utility of automated workpiece classification system", International Journal of Advanced Manufacturing Technology, 13, pp. 637-648, 1997.
9. S. K. Thompson, Sampling, John Wiley, New York, 1992.
10. W. Labov, "The boundaries of words and their meanings", in C.-J. N. Bailey and R. W. Shuy (eds) New Ways of Analyzing Variations in English, Washington, DC: Georgetown University Press, 1973.
11. S. J. Chen and C. L. Hwang, Fuzzy Multiple Attribute Decision Making - Method and Application, A State-of-art Survey, Springer-Verlag, New York, 1992.
12. H. Bandemer and W. Nather, Fuzzy Data Analysis, Kluwer Academic Publishers, 1992.
13. F. Bouslama and A. Ichikawa, "Fuzzy control rules and their natural control laws", Fuzzy Sets and Systems, 48, pp. 65-86, 1992.
14. H. J. Zimmermann, Fuzzy Set Theory: and Its Application, 2nd edn, Kluwer Academic Publishers, 1991.
15. S. K. Tan, H. H. Teh and P. Z. Wang, "Sequential representation of fuzzy similarity relations", Fuzzy Sets and Systems, 67, pp. 181-189, 1994.
16. G. J. Klir and T. A. Folger, Fuzzy Set, Uncertainty, and Information, Prentice-Hall, 1992.