Models, systems, networks in economics, engineering, nature and society

Models, systems, networks in economics, engineering, nature and society

Blog Article

Background.At the introducing of innovations the assessment, including comparative, of the calculated effect of modernization of distributed automated risk management systems (ARMS), especially by large risks with outgoing reinsurance in pools, plays an essential role.Therefore, it is relevant to develop: an improved criterion for assessing the effect of modernization of distributed automated ARMS in reinsurance and methods for the system analysis based on such criterion.Materials and methods.The number of natio celebrate eyeshadow palette concluded insurance contracts per year, with their further outgoing reinsurance, is interpreted as the absolute throughput of a wide class of open-loop queuing systems (QS).

Herein two additional components have been introduced into the formula for the annual economic effect from the modernization of the distributed ARMS for more realistic, justified and meaningful calculation, taking into account both the completeness of load (characterizing standing idle) of QS channels and the impact of the bank interest rate on its result.Results.Two extended formulas have been developed, namely of the main indicator and of the quality criterion on the base here of it, for the evaluated and compared annual effect of modernization of distributed ARMS in the reinsurance by the pools.There have also been developed methods of implementing system analysis of the decisions being made, allowing from the stage of the design of the ARMS to detect and cut off or bypass unfavourable situations of the reversal of this effect into zero.Conclusions.

In the foreshortening of the annual effect and system analysis covering it, the role is important: not only of the values of the organizational and technical parameters of the designed and operated ARMS in the reinsurance, but also of the ratios of the parameters of the gross rate and insurance premium, considering the load factor of the QS channels, and the bank interest rate.