DocumentCode :
283377
Title :
An intelligent knowledge-based scheduler for heavy manufacturing
Author :
Buchanan, J.T. ; Burke, P. ; Costello, J. ; Prosser, P.
Author_Institution :
Dept. of Comput. Sci., Strathclyde Univ., Glasgow, UK
fYear :
1988
fDate :
32283
Firstpage :
42522
Lastpage :
42524
Abstract :
A consortium from Alcan, YARD and the computer science department at the University of Strathclyde are collaborating on an Alvey-funded project on the use of intelligent knowledge-based systems (IKBS) techniques for production scheduling in heavy manufacturing. The main objectives of the project are: to research and develop methodologies for scheduling in heavy manufacturing and similar domains, and to produce an IKBS scheduling system to support production of aluminium plate at Alcan´s Kitts Green plant. The paper describes the approach taken within the project and the status of work at this midway stage. Topics addressed include domain features and relevant systems, requirements for the scheduler, knowledge acquisition and domain knowledge base, and scheduler design
Keywords :
expert systems; manufacturing computer control; production control; scheduling; Alcan; Alvey-funded project; IKBS scheduling system; Kitts Green plant; University of Strathclyde; YARD; aluminium plate; computer science department; domain features; domain knowledge base; heavy manufacturing; intelligent knowledge-based scheduler; intelligent knowledge-based systems; knowledge acquisition; production scheduling; relevant systems; requirements; scheduler design;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Artificial Intelligence in Planning for Production Control, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
209349
Link To Document :
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