Title :
A planning algorithm for distributed manufacturing
Author :
Gyires, Tibor ; Muthuswamy, Balakrishnan
Author_Institution :
Dept. of Appl. Comput. Sci., Illinois State Univ., Normal, IL, USA
Abstract :
Distributed manufacturing (DM), downsizing, and outsourcing are becoming increasingly popular. Processes in manufacturing a product may be distributed at different sites. A production plan in such environments consists of various subplans, team coordination schedules, and decision making on task-team assignments. We present a distributed artificial intelligence (DAI) approach that enables people and computers to work cooperatively as teams in decision making. Our model is a set of loosely coupled, autonomous, communicating problem solver nodes representing a functional unit such as design, production, testing, and accounting, that participate in planning, group problem solving and negotiation. A heuristic algorithm assigns subplans to sites to optimize costs
Keywords :
computer integrated manufacturing; costing; distributed processing; knowledge based systems; manufacturing data processing; outsourcing; accounting; autonomous communicating problem solver; cost optimisation; decision making; distributed artificial intelligence; distributed manufacturing; downsizing; group problem solving; heuristic algorithm; negotiation; outsourcing; planning algorithm; task-team assignments; team coordination schedules; testing; Artificial intelligence; Decision making; Delta modulation; Distributed computing; Job shop scheduling; Manufacturing processes; Outsourcing; Processor scheduling; Production; Testing;
Conference_Titel :
Intelligent and Cooperative Information Systems, 1993., Proceedings of International Conference on
Conference_Location :
Rotterdam
Print_ISBN :
0-8186-3135-X
DOI :
10.1109/ICICIS.1993.291765
