Abstract (EN):
Reliability models rarely incorporate the uncertainty that is present in most of the reliability
parameters, which is an important limitation for the managers of production system. This paper presents a
fuzzy-probabilistic methodology that was developed to analyse production systems. The methodology employs
probabilistic theory to represent the stochastic behaviour of the failure and repair processes and fuzzy sets to
represent uncertainty in the parameters. This approach is based on a fuzzy reliability analysis from which is
possible to obtain the fuzzy downtime function of a system in a given period of analysis. This function is a
crucial element to obtain two performance measures: a financial measure (the fuzzy cost concerning failures of
a production system) and a quality of service measure (the fuzzy frequency of failure on deliveries), as it will
be illustrated in the final part of the paper through a practical example
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
10