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dc.contributor.author |
Tibor Gyires |
|
dc.contributor.author |
Balakrishnan Muthuswamy |
|
dc.date.accessioned |
2019-05-29T12:30:19Z |
|
dc.date.available |
2019-05-29T12:30:19Z |
|
dc.date.issued |
1993-05-12 |
|
dc.identifier.uri |
http://e-biblio.univ-mosta.dz/handle/123456789/10403 |
|
dc.description.abstract |
Distributed manufacturing (DM), downsizing, and
outsourcing are becoming increasingly popular.
Processes in manufacturing a product may be
distributed at d@ererat (geographical) sites. A
production plan in such environments consists of
various subplans, team coordination schedules, and
decision making on task-team assignments. We present
a Disnibuted Artzjicial Intelligence @AI) 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. |
en_US |
dc.publisher |
[1993] Proceedings International Conference on Intelligent and Cooperative Information |
en_US |
dc.title |
A planning algorithm for distributed manufacturing |
en_US |
dc.type |
Article |
en_US |
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