Fuzzy project scheduling with multiple criteria

Author

Hapke, Maciej ; Jaszkiewicz, Andrzej ; Slowinski, Roman

Author_Institution

Inst. of Comput. Sci., Poznan Tech. Univ., Poland

Volume

3

fYear

1997

fDate

1-5 Jul 1997

Firstpage

1277

Abstract

The multi-mode project scheduling problem under multi-category resource constraints (RCPS) with fuzzy time parameters of activities is considered. A fuzzy scheduling procedure using weak and strong comparison rules for fuzzy, numbers is presented. As the problem is of multi-objective nature, a metaheuristic procedure, called Pareto simulated annealing generating an approximation of the Pareto set is applied. A discrete version of the “light beam search” procedure allows for interactive analysis of the set of generated solutions and supports the decision maker in selecting the best compromise schedule

Keywords

decision theory; fuzzy set theory; project management; scheduling; simulated annealing; Pareto simulated annealing; best compromise schedule; decision maker; fuzzy project scheduling; light beam search; metaheuristic procedure; multi-category resource constraints; multi-mode project scheduling problem; multiple criteria; strong comparison rules; weak comparison rules; Decision support systems; Delta modulation; Fuzzy sets; Processor scheduling; Simulated annealing; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

0-7803-3796-4

Type

conf

DOI

10.1109/FUZZY.1997.619471

Filename

619471