ENHANCED DESIGN FOR ASSEMBLY IN SERIES PRODUCTION BY USING DATA MINING METHODS
DS 77: Proceedings of the DESIGN 2014 13th International Design Conference
Year: 2014
Editor: Marjanovic Dorian, Storga Mario, Pavkovic Neven, Bojcetic Nenad
Author: Kretschmer, R.; Rulhoff ,S.; Stjepandic, J.
Series: DESIGN
Section: DESIGN SUPPORT TOOLS
Page(s): 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