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Strategic decisions in early production planning phases have a high impact on various production aspects. Decision making is often based on vague expert knowledge due to lack of a reliable knowledge base. Implications of this problem are especially observable in the field of assembly planning, which integrates results from various planning disciplines. This paper introduces a new concept and the corresponding data model for application of Data Mining (DM) methods in the field of production assembly planning and product design. The approach contains the usage of existing planning data in order to extrapolate assembly processes. Especially linked product and process data allow the innovative usage of Data Mining methods. The concept presents assistance potentials for development of new products variants along the product emergence process (PEP). With this approach an early cost estimation of assembly processes in series production can be achieved using innovative Data Mining methods. Furthermore, design and planning processes can be supported effectively.
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