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Distributed Artificial Intelligence in manufacturing systems control

Computers & industrial engineering, 1995-09, Vol.29 (1), p.199-203 [Peer Reviewed Journal]

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Title:
Distributed Artificial Intelligence in manufacturing systems control
Author: Shih, Wurong ; Srihari, K.
Is Part Of: Computers & industrial engineering, 1995-09, Vol.29 (1), p.199-203
Description: This research uses a Distributed Artificial Intelligence (DAI) framework to efficiently utilize the infrastructure available for process planning in a batch processing PWB assembly facility. The DAI approach decomposes the entire production control task into several sub-tasks. Then, the sub-tasks are implemented by the basic elements of the DAI system called ‘intelligent agents’. By working collectively, the intelligent agents of the DAI system can arrive at a solution for the problem. The DAI system initially proposes all possible solutions generated by the intelligent agents. Then, a fuzzy coordination technique is utilized to evaluate the solutions and to find the most appropriate one for shopfloor implementation. Using inputs such as the short-term production plan, design data, shopfloor observation data, and CAD information, the DAI system provides applicable production plans with ranks for the feasibility of current assembly activities.
Publisher: New York: Elsevier Ltd
Language: English
Identifier: ISSN: 0360-8352
EISSN: 1879-0550
DOI: 10.1016/0360-8352(95)00071-8
CODEN: CINDDL
Source: Alma/SFX Local Collection

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