FusLa

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https://publicdata.fdm.uni-wuppertal.de/handle/1/44

The increasing complexity of customer requirements, production systems and new products influences the processes of complaint management in terms of decision time and resources required. Various approaches to support complaint management can be found in the literatures. However, an analysis of these approaches shows that the state of the art in science and technology is reaching its limits in terms of complexity. In order to master this problem, the department of "Product Safety and Quality Engineering" has developed an algorithm for fault location and solution finding. This algorithm is based on a conceptual model with four phases.

This Project is funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) - SCHL 2225/1-1

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    The Concept of Failure-Cause-Searching and Solution-Finding Algorithm (FusLa)
    (University of Wuppertal, 2021-12-01) Ansari, A. ; Schlüter, N. ; Heinrichsmeyer, M.
    The solution proposed in this fundamental research is a Failure-Cause-Searching and Solution-Finding Algorithm (FusLa), which should enable the identification and elimination of failure causes in the production system based on complaint information from the use phase of a product system. To realize this, a four-phase algorithm was designed. In the first phase, automated information probing is performed, which filters out the relevant information from the complaints and prepares it for further processing. In the second phase, the FusLa then automatically determines a priority value for each complaint based on the probed information. Based on the prioritization, the algorithm is able to localize potential causes for the identified failures in the third phase. Based on the localized failure causes, the algorithm then derives suitable measures.