Title :
On-line scheduling for flexible manufacturing systems based on fuzzy logic
Author :
Domingos, J.C. ; Politano, P.R.
Author_Institution :
Dept. of Comput., Fed. Univ. of Sao Carlos, Brazil
Abstract :
Flexible manufacturing systems (FMS) have been designed to meet market requirements that demand products that are quality and ready to deliver. In order to meet the market requirements, the methodologies used in the FMS scheduling must consider a highly dynamic environment, where it is often necessary to meet or to react to uncertain demands and to get better use of its resources. An on-line scheduling procedure based on fuzzy logic is proposed in this work, whose main characteristic is shop floor tasks scheduling using production rules of an expert to meet several measures of performance. A simulation study was carried out with the objective to verify the applicability of the proposed approach, using a simulation tool integrated with a decision making system (DMS) based on fuzzy logic.
Keywords :
decision making; flexible manufacturing systems; fuzzy logic; job shop scheduling; decision making system; flexible manufacturing systems; fuzzy logic; highly dynamic environment; market requirements; online scheduling; production rules; shop floor tasks scheduling; simulation tool; Artificial intelligence; Buffer storage; Decision making; Dynamic scheduling; Flexible manufacturing systems; Fuzzy logic; Fuzzy systems; Job shop scheduling; Processor scheduling; Production;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1245763