Dynamic model of complicated diversified manufacturing complex operation under taking into account capital stock and reproduction relationships

This work describes queue systems with request train fl ows being typical for modern multiservice networks. Infl uence of correlation features of fl ows on queue sizes is shown. Here the expression for correlation was derived. It generalizes a well known Pollaczek-Khinchin formula and it is correct for any stationary and ordinary request fl ows. Therefore average queue size is defi ned by dispersion and sum of correlative parameters of requests over service cycle. Flow parameters are easy determined by experiment. They can be used further for computing of average queue size in multiservice communication systems.