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A decision support system for applying failure mode and effects analysis

2002; Emerald Publishing Limited; Volume: 19; Issue: 2 Linguagem: Inglês

10.1108/02656710210413480

1758-6682

Javier Puente, Raúl Pino Díez, Paolo Priore, David de la Fuente,

Advanced Statistical Process Monitoring

This study describes an alternative way of applying failure mode and effects analysis (FMEA) to a wide variety of problems. It presents a methodology based on a decision system supported by qualitative rules which provides a ranking of the risks of potential causes of production system failures. By providing an illustrative example, it highlights the advantages of this flexible system over the traditional FMEA model. Finally, a fuzzy decision model is proposed, which improves the initial decision system by introducing the element of uncertainty.