Ayaz, Halil IbrahimTestik, Murat Caner2024-02-232024-02-232017978-1-5386-0930-9https://hdl.handle.net/20.500.12452/172302017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEYFailure modes and effects analysis (FMEA) is a powerful and proactive quality tool for defining, detecting, and identifying potential failure modes and their effects. However, conventional FMEA process is sometimes difficult to implement due to workload required and subjectivity of the evaluations performed. Hence, automation of this tool can be useful for some application domains to objectively evaluate failures and faster implementations, which is the aim of this study. To automate the process and eliminate the subjectivity, data-based algorithms such as grey relational analysis and association analysis are implemented in the following with an application to computer servers.eninfo:eu-repo/semantics/closedAccessFmeaRisk Priority Number Grey Relational AnalysisAssociation AnalysisConference Object6166202-s2.0-85040608680WOS:000426856900114