DocumentCode :
2549480
Title :
Application of intelligent methods to automotive assembly planning
Author :
Rychtyckyj, Nestor ; Klampfl, Erica ; Gusikhin, Oleg ; Rossi, Giuseppe
Author_Institution :
Ford´´s Adv. & Manuf. Eng. Syst. Group, Montreal
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
2479
Lastpage :
2483
Abstract :
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.
Keywords :
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; Assembly; Automotive engineering; Competitive intelligence; Computational intelligence; Ergonomics; Intelligent manufacturing systems; Intelligent vehicles; Knowledge management; Manufacturing industries; Manufacturing processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4414163
Filename :
4414163
Link To Document :
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