Many stochastic models have been used in solving reliability problems, motivated by a high
degree of variability or randomness of the studied phenomena. Therefore different types of …

The problems of manufacturing systems are explored by means of regressions functions. In
the first part of the paper are presented some statistical models for manufacturing costs …

The states of a manufacturing cell are analyzed in this paper from the functional point of
view. A new model has been conceived based on the graph Markov properties, and residue …

The main objective of the paper is to prove that Eulerian functions are adaptive distributions
for describing of the reliability of systems, because these sets of elements contain …

Robust Design is one of the most important tools in manufacturing science. The applications
of Taguchi's robust parameter and tolerance choices for the manufacturing engineering are …

A classical method of the analyzing the lifetime of the manufacturing systems is to use
distributional laws, which take values on the bounded intervals, within which the stochastic …

The mechanical reliability uses many statistical models to fit experimental data. The state-of-
the-art in the domain implies extended use of specialised software, from simple freeware to …

The mechanical reliability uses many statistical models to fit experimental data. Weibull
distribution offer a flexible and practical instrument in this domain, but implies extended use …