Utilizing unstructured feedback data from MRO reports for the continuous improvement of standard products
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Abramovici, Michael; Gebus, Philip; Göbel, Jens Christian; Savarino, Philipp
Institution: Ruhr University Bochum, Germany
Section: Design Information and Knowledge
Industrial product-service systems (IPS˛) enable new opportunities for the IPS˛ provider as the development department gets access to valuable feedback information from the use phase in order to improve follower product generations or currently active product instances. Yet, systematic analyses of this data during product improvement processes at most consider key figures from structured sources or subjective feedback information. The paper proposes a feedback design assistant that allows product developers to derive requirements from knowledge-based analyses of a product's unstructured and structured feedback information, whereas the knowledge extraction from unstructured data is emphasized.