This paper describes a case study involving the use of a proposed model of information flow, based on complex network theory, to study delivery information flow within a microsystem technology (MST) company. The structure of the company is captured through decision making, teamwork, and coordination networks. These networks were then aggregated and analysed from a sociological and an organisati...

Forewords Computational Fluid Dynamic is becoming a mature discipline in aerospace sciences. It is no longer only an analysis tool but ready to be used in all stages of design as well. The materials here presented review the growth and advances done in the last 10 years for hypersonic flow phenomena in continuum regime. The status of the physical modelling, code development issues such as algor...

We wish to consider the problem of modelling flow of vehicles within a traffic network. In the past, stochastic traffic models have been developed [13, 8] in order to investigate a wide range of traffic configurations. However, if the population is sufficiently large, these stochastic processes tend towards a continuum approach. Consequently, this approach is most useful when considering long, ...

We present an approximation technique for solving open queueing networks consisting of several su~networks.Each subnetwork models a set of shared resources managed by a semaphore. The 9~euelng n~tworks analyzed have features that are commonly used in Petri Nets, such as, fork and JOIn operations and semaphore queues. This type of queueing network arises naturally when modelling multiple window ...

‎Abstract: In this paper, a new mixture modelling using the normal mean-variance mixture of Lindley (NMVL) distribution has been considered. The proposed model is heavy-tailed and multimodal and can be used in dealing with asymmetric data in various theoretic and applied problems. We present a feasible computationally analytical EM algorithm for computing the maximum likelihood estimates. T...