Title :
Intelligent cooperative decision-making for advanced manufacturing systems
Author :
Nahavandi, Saeid
Author_Institution :
Dept. of Production Technol., Massey Univ., Palmerston North, New Zealand
Abstract :
The paper addresses the problems involved in the control of advanced manufacturing systems. An intelligent auction based distributed decision making system is developed for the control of activities at the factory and cell level within the advanced manufacturing system. It utilises the hybrid control system, taking advantages offered by both hierarchical and heterarchical control structures. Such a system has proved to have greater fault tolerance of unforeseen events. Assignment of operations to various machines are not performed according to a prescribed schedule, rather decisions are made in real time as to what machine will process what task leading to the term real time scheduling
Keywords :
decision support systems; groupware; intelligent control; manufacturing data processing; process control; production control; advanced manufacturing systems; fault tolerance; heterarchical control structures; hybrid control system; intelligent auction based distributed decision making system; intelligent cooperative decision making; real time scheduling; unforeseen events; Computer aided manufacturing; Control systems; Decision making; Distributed decision making; Hybrid intelligent systems; Intelligent manufacturing systems; Job shop scheduling; Manufacturing systems; Processor scheduling; Production systems;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499498
