Application of intelligent methods to automotive assembly planning

Montreal, Que.(2007)

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摘要
The automotive manufacturing process is one of the most complex processes in industry today. The rapid changes in the marketplace and introduction of new technologies require that the underlying manufacturing processes keep pace. The use of intelligent systems for this environment is quickly becoming a necessity. In this paper, we describe how some of these intelligent methods are used at Ford Motor Company in the automotive assembly planning domain. The following applications of intelligent systems will be described: knowledge-based labor management, ergonomics analysis, and workcell layout optimization. We will also discuss how natural language processing can assist in understanding unstructured textual data. All of these examples show how computational intelligence can be successfully applied in an industrial setting.
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关键词
assembly planning,automobile manufacture,natural language processing,production engineering computing,Ford Motor Company,automotive assembly planning,automotive manufacturing process,ergonomics analysis,intelligent methods,knowledge-based labor management,natural language processing,workcell layout optimization
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