Browsing by Author "Schlüter, N."
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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.