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ICED 11
Papers

ENHANCED DESIGN FOR ASSEMBLY IN SERIES PRODUCTION BY USING DATA MINING METHODS

ENHANCED DESIGN FOR ASSEMBLY IN SERIES PRODUCTION BY USING DATA MINING METHODS

Year: 2014

Section: DESIGN SUPPORT TOOLS

Editor: Marjanovic Dorian, Storga Mario, Pavkovic Neven, Bojcetic Nenad

Author: Kretschmer R., Rulhoff S., Stjepandic J.

Series: DESIGN

Section: DESIGN SUPPORT TOOLS

Pages: 1113-1122

Abstract

This paper introduces a new concept and the corresponding data model for application of data mining methods in the field of product design and production assembly planning. The approach contains the extraction and preparation of existing linked product and process data in order to extrapolate assembly processes. The concept presents assistance potentials for synchronous development of new products variants along the product creation process. With this approach an early cost estimation of assembly processes in series production can be achieved using innovative data mining methods.

Keywords: product realization, manufacturing, digital factory, assembly, process planning, data mining

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ds endorsed conferenceDESIGN 2014 - 13th International Design Conference

DESIGN 2014 - 13th International Design ConferenceThe forthcoming DESIGN 2014 Conference will continue to be a great event founded on tradition and excellence. We live in a networked world communicating and exchanging ideas by emails, virtual meetings and social networks. Opportunity to meet colleagues face-to-face, to exchange and share new ideas in implausible discussions, to build a personal network in a direct contact is the invaluable opportunity of DESIGN conference. We invite high-quality submissions for DESIGN 2014 covering substantial,...

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SIG Workshop - March 2013 - 1