 Supervisory-based capacity allocation control for manufacturing systemsKarim Tamani, Reda Boukezzoula and Georges Habchi International Journal of Manufacturing Technology and Management, 2010, vol. 20, issue 1/2/3/4, 259-285 Abstract: This paper aims at developing supervisory control architecture in order to improve the performance of manufacturing systems. The proposed control architecture is hierarchical. It is composed of basic-level fuzzy logic controllers supervised by a higher level decision-making combining local and global performance indicators to allocate the production capacity. The global performance indicator used in the supervisory level evolves in a tolerance interval defined by the normal operating conditions of the process. When a performance indicator value is outside the predefined tolerance interval, abnormal behaviour occurs. In this case, the supervisor allocates the production capacity or reduces the production throughput according to the aggregated global performance indicators. The simulation results for two applications of manufacturing systems are presented to illustrate the feasibility of the proposed approach. Keywords: manufacturing systems; performance indicators; fuzzy control; supervisory control; aggregation operator; continuous simulation; capacity allocation control; fuzzy logic. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:20:y:2010:i:1/2/3/4:p:259-285 Access Statistics for this article More articles in International Journal of Manufacturing Technology and Management from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.