Optimization of logistic systems using fuzzy weighted aggregation

Fuzzy Sets and Systems

Volumn 158, Issue 17, 2007, Pages 1947-1960

  Silva, C A ^a   Sousa, J M C ^a   Runkler, T A ^b  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b SIEMENS AG   (Germany)

Author keywords

Dispatching rules; Fuzzy weighted aggregation; Logistic systems; Meta heuristics

Indexed keywords

COMPUTER SIMULATION; COST FUNCTIONS; DECISION MAKING; FUZZY SYSTEMS; GENETIC ALGORITHMS; OPTIMIZATION;

DISPATCHING RULES; FUZZY WEIGHTED AGGREGATION; LOGISTIC SYSTEMS; META-HEURISTICS;

SCHEDULING;

EID: 34347366318     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2007.04.008     Document Type: Article

References (27)

1. Bellman R.E., and Zadeh L.A. Decision-making in a fuzzy environment. Manag. Sci. 17 4 (1970) 141-164
2. Blackstone J.H., Phillips D.T., and Hogg G.L. A state of art - survey of dispatching rules for manufacturing job shop operations. Int. J. Prod. Res. 35 11 (1982) 3179-3199
3. Cheng R., Gen M., and Tsujimura Y. A total survey of job-shop scheduling problems using genetic algorithms-i representation. Comput. Ind. Eng. 30 4 (1996) 983-997
4. Dorigo M., Maniezzo V., and Colorni A. The Ant System: Optimization by a colony of cooperating agents. IEEE Trans. Systems Man Cybern. Part B Cybern. 26 1 (1996) 29-41
5. Dorigo M., and Stützle T. Ant Colony Optimization (2004), The MIT Press, Cambridge, MA
6. Dubois D., and Prade H. A review of fuzzy set aggregation connectivities. Fuzzy Sets and Systems 10 (1983) 243-260
7. Fayad C., and Petrovic S. A fuzzy genetic algorithm for real-world job shop scheduling. Innovations in Applied Artificial Intelligence: 18th Int. Conf. on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005. Proceedings vol. 3533 (2005), Springer, Berlin/Heidelberg 524
8. Holland J.H. Adaptation in Natural and Artificial Systems (1975), The University of Michigan Press
9. Jain A.S., and Meeran S. Deterministic job-shop scheduling: past, present and future. European J. Oper. Res. 113 (1999) 390-434
10. Kaymak U., and Sousa J.M.C. Weighted constraint aggregation in fuzzy optimization. Constraints 8 1 (2003) 61-78
11. Kaymak U., and van Nauta Lemke H.R. A sensitivity analysis approach to introducing weight factors into decision functions in fuzzy multicriteria decision making. Fuzzy Sets and Systems 97 2 (1998) 169-182
12. Michalewicz Z. Genetic Algorithms+Data Structures=Evolution Programs (1999), Springer, Berlin
13. Michalewicz Z., and Fogel D.B. How to solve it: Modern Heuristics. third ed. (2002), Springer, Berlin
14. Pinedo M. Scheduling: Theory, Algorithms, and Systems. second ed. (2002), Prentice-Hall, Englewood Cliffs, NJ
15. Purshouse R.C., and Fleming P.J. Conflict harmony and independence: relatioships in evolutionary multi-criterion optimization. Proc. of the Second Internat. Conf. Evolutionary Multi-Criterion Optimization (2002) 16-30
16. M. Sakawa, Genetic Algorithms and Fuzzy Multiobjective Optimization, volume 14 of Operations Research/Computer Science Interfaces Series, Springer, Berlin/Heidelberg, 2001.
17. C.A. Silva, Arbeitspaket S1: Systemanalyse-Fujitsu Siemens Computers, Technical Report 1, Siemens AG, Corporate Technology, Department of Neural Computation, CT IC 4, October 2001.
18. Silva C.A., Runkler T.A., Sousa J.M.C., and Sá da Costa J.M.G. Distributed optimisation of a logistic system and its suppliers using ant colonies. Int. J. Systems Sci. 37 8 (2006) 503-512
19. th World Congress of the International Federation of Automatic Control, IFAC'2005, Paper 4555, 2005, pp. 1-6.
20. C.A. Silva, J.M.C. Sousa, T. Runkler, J.M.G. Sá da Costa, Meta-heuristics evolved with fuzzy weighted aggregation in logistic scheduling problems, in: Proc. of IFSA2005, World Congress in Fuzzy Logic, Soft Computing and Computational Intelligence, Paper 1554, 2005, pp. 1-6.
21. Silva C.A., Sousa J.M.C., Runkler T., and Palm R. Soft computing optimization methods applied to logistic processes. Int. J. Approx. Reason. 40 (2005) 280-301
22. Sousa J.M.C., Palm R., Silva C.A., and Runkler T.A. Optimizing logistic processes using a fuzzy decision making approach. IEEE Trans. Systems Man Cybernetics Part A Humans and Systems 33 2 (2003) 245-256
23. Swaminathan J.M., Smith S.F., and Sadeh N.M. Modeling supply chain dynamics: a multiagent approach. Decision Sci. J. 29 3 (1998) 607-632
24. Yager R.R. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans. Systems Man Cybern. 18 1 (1988) 183-190
25. Zimmermann H.-J. Description and optimization of fuzzy systems. Int. J. General Systems 2 (1976) 209-215
26. Zimmermann H.-J. Fuzzy Sets, Decision Making and Expert Systems (1987), Kluwer Academic Publishers, Boston
27. Zimmermann H.-J. Fuzzy Set Theory and its Applications-4th Edition (2001), Kluwer Academic Publishers, Boston