Speaker
Dr
Reza Ahmadi
(Iran University of Science and Technology)
Description
Through incorporating a bivariate state process, this paper explores an approach to the stochastic modeling of MRL for a failure-prone parallel system operating in a random environment. The bivariate state-dependent MRL (BSDMRL) model outperforms the ordinary MRL and other state-dependent MRL models in the actual circumstance that it incorporates not only the age factor, but also two basic processes: the number of failed components and the operating environment. Such mature model helps in two ways: (i) the correct evaluation of the system state; (ii) accurate decision-making by the use of the BSDMRL as a decision variable.
Primary author
Dr
Reza Ahmadi
(Iran University of Science and Technology)