Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/100091
Author(s): E. M. Nunes
J. A. Faria
M. A. Matos
Title: Using fuzzy sets to evaluate the performance of complex system when parameters are uncertain
Issue Date: 2006
Abstract: Reliability models rarely incorporate the uncertainty that is present in most of the reliabilityparameters, which is an important limitation for the managers of production system. This paper presents afuzzy-probabilistic methodology that was developed to analyse production systems. The methodology employsprobabilistic theory to represent the stochastic behaviour of the failure and repair processes and fuzzy sets torepresent uncertainty in the parameters. This approach is based on a fuzzy reliability analysis from which ispossible to obtain the fuzzy downtime function of a system in a given period of analysis. This function is acrucial element to obtain two performance measures: a financial measure (the fuzzy cost concerning failures ofa production system) and a quality of service measure (the fuzzy frequency of failure on deliveries), as it willbe illustrated in the final part of the paper through a practical example
Subject: Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
URI: https://repositorio-aberto.up.pt/handle/10216/100091
Source: Proceedings of the European Safety & Reliability International Conference
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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