×

zbMATH — the first resource for mathematics

Improving the effectiveness of FMEA analysis in automotive – a case study. (English) Zbl 1405.90056
Summary: Many industries, for example automotive, have well defined product development process definitions and risk evaluation methods. The FMEA (failure mode and effects analysis) is a first line risk analysis method in design, which has been implemented in development and production since decades. Although the first applications were focusing on mechanical and electrical design and functionalities, today, software components are implemented in many modern vehicle systems. However, standards or industry specific associations do not specify any “best practice” how to design the interactions of multiple entities in one model. This case study focuses on modelling interconnections and on the improvement of the FMEA modelling process in the automotive. Selecting and grouping software components for the analysis is discussed, but software architect design patterns are excluded from the study.
MSC:
90B30 Production models
91B30 Risk theory, insurance (MSC2010)
90B25 Reliability, availability, maintenance, inspection in operations research
93A30 Mathematical modelling of systems (MSC2010)
68Q85 Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.)
PDF BibTeX XML Cite
Full Text: DOI
References:
[1] J. H. Craig, A software reliability methodology using software sneak analysis, SW FMEA and the integrated system analysis approach, in: Reliability and Maintainability Symposium, 2003. Annual, IEEE, 2003, pp. 12-18. ⇒93
[2] L. Pokorádi, T. Fülep, Reliability in automotive engineering by fuzzy rule-based FMEA, in: Proceedings of the FISITA 2012 World Automotive Congress, Volume 197 of the series Lecture Notes in Electrical Engineering, Springer Berlin Heidelberg, 2012, pp. 793-800. ⇒93
[3] L. Pokorádi, B. Szamosi, Fuzzy Failure Modes and Effects Analysis with Summarized Center of Gravity DeFuzzification, in: 16th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2015, IEEE, 2015, pp. 147-150. ⇒93
[4] K. H. Pries, Failure mode & effect analysis in software development, in: Automotive Electronics Reliability, edited by Ronald K. Jurgen, SAE International, PT-82, 1998, pp. 351-360. ⇒84
[5] P- Urban, DFMEA acc. to VDA - 5 steps approach, OALC Reliability Blog. 2011, . ⇒84
[6] Society for Automotive Engineers, Design Analysis Procedure For Failure Modes, Effects and Criticality Analysis (FMECA) 1967. ARP926. ⇒83
[7] Quality System 9000 Handbook, Volume FMEA handbook 2006. ⇒85
[8] TüV NORD, Failure Modes Effects and Diagnostic Analysis (2013), . ⇒84
[9] Verband der Automobilindustrie, Qualitätsmanagement in der Automobilindustrie, Sicherung der Qalität vor Serieneinsatz, System FMEA VDA QMC 4 (2006) 124-139. ⇒84
[10] Verband der Automobilindustrie, Qualitätsmanagement in der Automobilindustrie, Produkt- und Prozess-FMEA, VDA QMC 4 (2006) 30-63. ⇒84
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.