one of the most challenging problems in our country insurance industry is the phenomenon of increase of loss pay average time by insurance companies. a lot of research and analysis have been conducted on both the roots and possible solutions for this problem, none of which has had success in annihilating it. this paper presents a discrete model ) nonlinear mathematical model ( of insurance serv...

The systems thinking and modelling framework involve five major phases: problem structuring, causal loop modelling, dynamic modelling, scenario planning & modelling , and implementation & organisational learning. In this paper we propose that stakeholder analysis would enrich the systems thinking and modelling process. Specifically, we explain the importance of stakeholder analysis in the probl...

Abstract Official data about consumers’ qualitative expectation and perception of inflation are derived from repeated surveys conducted by national statistical institutes. In EU, these published in aggregate form, cannot be described means classical methods based on cumulative models for ordinal data. This article illustrates an integrated approach that locates CUB mixture ratings a time series...

Modelling geothermal reservoirs is challenging due to the large domain and wide range of length- time-scales interest. Attempting represent all scales using a fixed computational mesh can be very computationally expensive. Application dynamic optimisation in other fields fluid dynamics has revolutionised accuracy cost numerical simulations. Here we present new approach for modelling based on un...