Fuzzy inference-based multiple criteria FMS scheduling

International Journal of Production Research

Volumn 37, Issue 10, 1999, Pages 2315-2333

  Yu, L ^a   Shih, H M ^b   Sekiguchi, T ^a  

^a YOKOHAMA NATIONAL UNIVERSITY   (Japan)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FLEXIBLE MANUFACTURING SYSTEMS; FUZZY SETS; INDUSTRIAL MANAGEMENT; INFERENCE ENGINES; SCHEDULING;

FUZZY INFERENCE BASED MULTIPLE CRITERIA; MULTIPLE CRITERIA SCHEDULING DECISION;

DECISION MAKING;

EID: 0032686543     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/002075499190789     Document Type: Article

References (27)

1. Bellman, R. E. and Zadeh, L. A., 1970, Decision-making in a fuzzy environment. Management Science, 17, 141-164.
2. Bezdeck, J. C. and Harris, J. D., 1978, Fuzzy partitions and relations: An axiomatic basis for clustering. Fuzzy Sets and Systems, 1, 111-127.
3. Blackstone, J. H., Phillips, D. T. and Hogg, G. L., 1982, A state-of-art survey of dispatching rules for manufacturing job shop operations. International Journal of Production Research, 20, 27-45.
4. Conway, R. W., 1965, Priority dispatching and job lateness in a job shop. Journal of Industrial Engineering, 16, 228-237.
5. Dombi, J., 1981, Basic concepts for a theory of evaluation: the aggregative operator. European Journal of Operation Research, 10, 282-293.
6. Dubois, D. and Prade, H., 1984, Criteria aggregation and ranking of alternatives in the framework of fuzzy set theory. In TIMS Studies in the Management Sciences vol. 20 (Amsterdam: Elsevier) pp. 209-240.
7. Gravel, M., Martel, J. M. et al., 1992, A multicriterion view of optimal resource allocation in job-shop production. European Journal of Operational Research, 61, 230-244.
8. Gupta, Y. P., Evans, G. W. and Gupta, M. C., 1991, A review of multi-criterion approaches to FMS scheduling. International Journal of Production Economics, 22, 13-31.
9. Hintz, G. W. and Zimmermann, H. J., 1989, A method to control flexible manufacturing system. European Journal of Operational Research, 41, 321-334.
10. Montazeri, L. N. and Wassenhove, V., 1990, Analysis of scheduling rules for an FMS. International Journal of Production Research, 28, 785-802.
11. Morton, T. E. and Pentico, D. W., 1993, Heuristic Scheduling Systems (New York: Wiley).
12. O’ Grady, P. J. and Menon, U., 1985, A multiple criteria approach for production planning of automated manufacturing. Engineering Optimization, 8, 161-175.
13. Panwalkar, S. S. and Iskander, W., 1977, A survey of scheduling rules. Operation Research, 25, 45-61.
14. Pinedo, M., 1995, Scheduling Theory, Algorithms, and Systems (Englewood Cliffs, NJ: Prentice Hall).
15. Rachamadugu, R. and Stecke, K. E., 1994, Classification and review of FMS scheduling procedures. Production Planning and Control, 5, 2-20.
16. Ro, In-Kyo. and Kim, Joong-In, 1990, Multi-criteria operational control rules in flexible manufacturing systems. International Journal of Production Research, 28, 47-63.
17. Shanker, K. and Tzen, J., 1985, A loading and dispatching problem in a random FMS. International Journal of Production Research, 23, 579-595.
18. Shih, H. M. and Segiguchi, T., 1991, FMS with routing flexibility: A beam search based and Petri net based scheduling. Proceedings of the International Conference on Industrial and Engineering Application of Artificial Intelligence, Hawaii, HI, pp. 633-640.
19. Shih, H. M. and Segiguchi, T., 1992, A Petri net and beam search based FMS scheduling system. Transactions of IEE of Japan, 112-D, 377-386.
20. Silvert, W., 1979, Symmetric summation: A class of operations on fuzzy sets. IEEE Transactions on Systems, Man and Cybernetics, 9, 657-659.
21. Smith, M. L., Ramesh, R., Dudek, R. and Blair, E., 1986, Characteristics of US flexible manufacturing systems survey. Proceedings of the Second ORSA/TIMS Conference on FMS, pp. 477-486.
22. Steuer, R. E., 1990, Multiple Criteria Optimization: Theory, Computation, and Application (New York: Wiley).
23. Sugeno, M., 1988, Fuzzy Control (Tokyo: Nikkan Kougyou Sinnbun Ya), in Japanese.
24. Terano, M., Asai, K. and Sugeno, M., 1995, Fuzzy Systems Theory and its Applications (New York: Academic).
25. Yager, R. R., 1978, Fuzzy decision making including unequal objectives. Fuzzy Sets and Systems, 1, 87-95.
26. Yu, P. L., 1985, Multiple Criteria Decision Making: Concepts, Techniques and Extensions (New York: Plenum).
27. Zadeh, L. A., 1977, A theory of approximate reasoning. Memo UCB/ERL M77/58, University of California, Berkeley.