Concept for improving industrial goods via contextual knowledge provision

At present, product lifecycle data is provided, used, and archived only for very specific purposes. Textual data generated in product use can be very comprehensive and contain valuable information beyond its original purpose, e.g. for product development or improvement. This kind of information, however, is not fed back systematically, as its evaluation is currently not possible due to a lack of suitable methods and tools in product development. The paper in hand presents a concept designed to support product developers by introducing maintenance, service, and customer data, which has undergone restructuring into textual form in the product use phase, into product development. To process the restructured textual data, customized text mining methods are generated as a part of knowledge management in product development. These methods aim at identifying products, product generations, and failure descriptions, as well as the relationships among them. The knowledge gained through text mining is visualized in the work environment familiar to the product developer, and implements utilitarian visualization methods. Visualization is integrated into existing IT systems and provides knowledge required for product improvement or development in a target-oriented way. This extension to knowledge-based product development facilitates more efficient improvement of current and future products.

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