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
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