Incorporating fuzzy approaches for production planning in complex industrial environments: The roll shop case

Engineering Applications of Artificial Intelligence

Volumn 17, Issue 1, 2004, Pages 73-81

  Adenso Diaz B ^a   González, Ignacio ^b   Tuya, Javier ^a  

^a UNIVERSITY OF OVIEDO   (Spain)

^b ACCENTURE   (Spain)

Author keywords

AI application tools; Fuzzy systems; Production planning; Roll shops

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; INDUSTRIAL MANAGEMENT; MAINTENANCE; PERTURBATION TECHNIQUES; PRODUCTION CONTROL; PURCHASING;

AI APPLICATION TOOLS; FUZZY SYSTEMS; PREDICTIVE MAINTENANCE; PRODUCTION PLANNING; ROLL SHOPS;

FUZZY CONTROL;

EID: 17544390830     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2003.11.008     Document Type: Article

References (31)

1. Abbod M.F., Linkens D.A., Browne A blackboard software architecture for integrated intelligent control systems. Kybernetes. 29(7/8):2000;999-1015.
2. Berry B. Wrestling with trade, energy, and new markets. New Steel. 17(7):2001;20-23.
3. Bertolini M., Rizzi A. A simulation approach to manage finished good inventory replenishment economically in a mixed push/pull environment. Logistics Information Management. 15(4):2002;291-293.
4. Blazewicz J., Dmschke W., Pesch E. The job shop scheduling problem. conventional and new solution techniques European Journal of Operational Research. 20:1996;27-45.
5. Burnham K.J., Haas O.C.L., James D.J.G. Intelligent systems for optimisation and control. Kybernetes. 29(5/6):2000;716-732.
6. Chan F.T.S., Chan H.K., Kazerooni A. Real time fuzzy scheduling rules in FMS. Journal of Intelligent Manufactoring. 14(3-4):2003;341-350.
7. Cowling P. A flexible decision support system for steel hot rolling mill scheduling. Computers and Industrial Engineering. 45:2003;408-421.
8. Dubois D., Prade H. What are fuzzy rules and how to use them. Fuzzy Sets and Systems. 84(2):1996;169-185.
9. Dubois D., Fargier H., Fortemps P. Fuzzy scheduling. modelling flexible constraints vs. coping with incomplete knowledge European Journal of Operational Research. 147(2):2003;231-252.
10. Fortemps P. Fuzzy sets in scheduling and planning. European Journal of Operational Research. 147:2003;229-230.
11. Greissel M. Weirton's rolling-mil/roll-shop partnership. New Steel. 15(2):1999;56.
12. Guiffrida A.L., Nagi R. Fuzzy set theory applications in production management research. a literature survey Journal of Intelligent Manufacturing. 9(1):1998;39-56.
13. Klir J., Yuan B. Fuzzy Sets and Fuzzy Logic. Theory and Applications:1995;Prentice-Hall, Upper Saddle River, NJ.
14. Lee H.S., Murthy S.S., Haider S.W., Morse D.V. Primary production scheduling at steelmaking industries. IBM Journal of Research and Development. 40(2):1996;231-252.
15. Lee L.K., Yoon W.C., Baek D.H. Generating interpretable fuzzy rules for adaptive job dispatching. International Journal of Production Research. 39(5):2001;1011-1030.
16. Liao C.J., You C.T. An improved formulation for the job shop scheduling problem. Journal of the Production Research Society. 43:1993;1047-1054.
17. Lopez L., Carter M.W., Gendreau M. The hot strip mill production scheduling problem. a tabu search approach European Journal of Operational Research. 106:1998;317-335.
18. Mamdani E.H., Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies. 7(1):1975;1-13.
19. Nikolopoulos K., Metaxiotis K., Lekatis N., Assimakopoulos V. Integrating industrial maintenance strategy into ERP. Industrial Management and Data Systems. 103(3):2003;184-191.
20. Ninneman P. Scheduling smarter to reduce inventories. New Steel. 13(3):1997;66.
21. Ray A.K., Mishra K.K., Das G., Chaudhary P.N. Life of rolls in a cold rolling mill in a steel plant-operation versus manufacture. Engineering Failure Analysis. 7(1):2000;55-67.
22. Ritt A. Reaching for maximum flexibility. New Steel. 16(1):2000;20.
23. Roubens M. Fuzzy sets and decision analysis. Fuzzy Sets and Systems. 90(2):1997;199-206.
24. Sakawa M., Kubota R. Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy due date through genetic algorithms. European Journal of Operational Research. 120(2):2000;393-407.
25. Sakawa M., Mori T. An efficient genetic algorithm for job-shop scheduling problems with fuzzy processing time and fuzzy duedate. Computers and Industrial Engineering. 36(2):1999;325-341.
26. Shafei K., Brunn P. Workshop scheduling using practical (inaccurate) data. Part: 2. The performance of heuristic scheduling rules in a dynamic job shop environment using a rolling time horizon approach International Journal of Production Research. 37(17):1999;3913-3925.
27. Simoes-Marques M., Ribeiro R.A., Gameiro-Marques A. A fuzzy decision support system for equipment repair under battle conditions. Fuzzy Sets and Systems. 115(1):2000;141-157.
28. Tang L., Liu J., Rong A., Yang Z. A review of planning and scheduling systems and methods for integrated steel production. European Journal of Operational Research. 133(1):2001;1-20.
29. Wang W., Wang D., Ip W.H. JIT production planning approach with fuzzy due date for OKP manufacturing systems. International Journal of Production Economics. 58(2):1999;209-215.
30. Xue D., Wang H., Norrie D.H. A fuzzy mathematics based optimal delivery scheduling approach. Computers in Industry. 45(3):2001;245-259.
31. Yi Y., Wang D.W. Soft computing for scheduling with batch setup times and earliness-tardiness penalties on parallel machines. Journal of Intelligent Manufactoring. 14(3-4):2003;311-322.