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