A study on process-plan selection via multiple attribute decision-making approach and fuzzy quantification theory

다속성 의사결정법과 퍼지정량화 이론을 이용한 공정계획 선택에 관한 연구

  • Published : 1997.10.01

Abstract

This paper describes a new process-plan selection method using a modified Fuzzy Quantification Theory(FQT). The problem of process-plan selection can be characterized by multiple attributes and used subjective, uncertain information. Fuzzy Quantification Theory is used for handling such information because it is a useful tool when human judgment or evaluation is quantified via linguistic variables, and the proposed method is concerned with the selection of a process plan by derivation of the values of categories for each attribute. In this paper, a modified Fuzzy Quantification Theory(FQT) is described and the procedure of this approach is explained and examples illustrated.

Keywords

References

  1. Computer Integrated Manufacturing Handbook E. Teicholz;J. Orr
  2. Expert Process Planning for Manufacturing T. C. Chang
  3. Annals of the Institute of Statistics and Mathematics no.2 On the quantification of qualitative data from the matnematico-statisical point of view C. Hayashi
  4. Recent developments in Statistical Inference and Data Analysis An application of methods of quantification to analyze the effects of quantitative factors Y. Tanaka
  5. Fuzzy Systems theory and Its Applications T. Terano;K. Asai;M. Sugeno
  6. The Japanese Journal of Behaviormetrics v.11 Analysis of purchasing factors by using fuzzy quantification theory type II J. Watada;H. Tanaka;K. Asai
  7. Expert Systems Applications in Engineering and manufacturing A. B. Badiru
  8. International Journal of Production Research v.29 A fuzzy approach to multi-objective routing problem with applications to process planning in manufacturing N. Singh;B. K. Mohanty
  9. Robotics and Manufacturing v.1 A multiattribute model for process plans selection using fuzzy logic F. Choobineh;M. Shivani
  10. Industrial Engineering Cellular manufacturing systems reduce setup time, make small lot production economical J. T. Black
  11. Journal of Operations Management v.10 Production flow analysis for planning group technology J. L. Burbidge
  12. International Journal of Production Research v.26 A framework for the design of cellular manufacturing systems F. Choobineh