This study presents a general framework for single-administration reliability methods, such as Cronbach’s alpha, Guttman’s lambda-2, and method MS. This general framework was used to derive a new approach to estimating test-score reliability by means of the unrestricted latent class model. This new approach is the latent class reliability coefficient (LCRC). Unlike other single-administration r...

One of the objectives of reliability sensitivity analysis is to study the influence of probabilistic model parameters onto the reliability of a given structural system. In this context, the system parameters involved in the sensitivity analysis are modeled by a random vector whose joint probability distribution is explicitly known and dependents on a certain number of parameters. The effect of ...

We describe a new approach to measuring the quality of simulation software by measuring its robustness. Robustness is the ability to give similar or identical numerical results even when mutations | random bugs | are injected into the code. Robustness is important because large programs, such as large simulation programs, always or nearly always have unintended bugs. Thus it is desirable for a ...

The overall performance of industrial conveyor systems for bulk depends on the reliability of individual system components and their arrangement. A model for dimensioning of large scale systems in the early design stage is discussed. In the model discrete event simulation is used for the modelling of equipment reliability and simple numerical integration is applied for the stacking and loading ...

1 VaR (Value at Risk) estimates are currently based on two main techniques, the variance-covariance approach or simulation. Statistical and computational problems affect the reliability of these techniques. We illustrate a new technique, filtered historical simulation, that is designed to remedy some of the shortcomings of the simulation approach. We compare the estimates it produces with tradi...

In this paper we propose a simulation model combining two processes of different origin (the production process and the information flow of maintenance work-orders) in one model in order to investigate how the interaction between the processes affect the performance of the production system, as well as to define the optimization opportunities. The proposed approach aims to extend the capabiliti...

we compare two approaches for a markovian model in flexible manufacturing systems (fmss) using monte carlo simulation. the model which is a development of fazlollahtabar and saidi-mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (agv) namely, the reliability of machines and the reliability of agvs in a multiple agv jobsho...