Title :
Intelligent disruption recovery for decentralized manufacturing systems
Author :
Tsukada, Thomas ; Shin, Kang G.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
The problems of intelligent response to disruptions in a decentralized manufacturing system are considered. In the absence of intelligent coordination, the response to a disruption of one part of the system may cause a disruption in another part of the system. A model for the problem of recovering from this kind of disruption is given. A solution approach based on the idea of negotiation from the field of distributed artificial intelligence is presented. The model and solution approach are evaluated in the domain of job shop rescheduling
Keywords :
artificial intelligence; production control; decentralized manufacturing systems; distributed artificial intelligence; intelligent disruption recovery; job shop rescheduling; model; Artificial intelligence; Cellular manufacturing; Computer aided manufacturing; Control systems; Distributed computing; Job shop scheduling; Laboratories; Manufacturing systems; Power system modeling; Real time systems;
Conference_Titel :
Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-3450-2
DOI :
10.1109/ROBOT.1993.292083
