The real-time monitoring of electric distribution grids via state estimation is a fundamental requirement to deploy smart automation and control in the system. Due large size networks poor coverage measurement instrumentation on field, designing fast algorithms achieving accurate results are two major challenges associated system estimation. In this paper, an efficient solution for performing m...

Production planning and maintenance are two important problems in manufacturing systems. Despite the relationship exists between these two problems due to sudden failures and production capacity occupied by maintenance activities, each of these problems planned separately and as a result program and model efficiencies reduce in the real world. The aim of integrated production and maintena...

Applications of multi-state approach to the reliability evaluation of systems composed of independent components are considered. The main emphasis is on multi-state systems with degrading components because of the importance of such an approach in safety analysis, assessment and prediction, and analysing the effectiveness of operation processes of real technical systems. The results concerned w...

This article examines a new approach which solves Linear Programming (LP) problems with stochastic parameters as a generalized model of the fuzzy mathematical model analyzed by Verdegay. An expectation model is provided for solving the problem. A multi-parametric programming is applied to access to a solution with different desired degrees as well as problem constraints. Additionally, we presen...

This paper considers a problem of multi-state system reliability modelling and assessment. By using the advantages of uncertainty reasoning and figurative expression of Bayesian network, a new method of modelling and assessment of multi-state system reliability based on BN is proposed to determine the nodes of BN and the multiple states of components of system, and to give the probability of ea...