STATISTICAL MODELING OF THE ACTIVITY OF CHECKING LABORATORIES.

The intensive growth of the stock of measurement means (MM) that are subject to checking gives rise to the problem of optimization of their metrological servicing. An important part of this problem is determination of the optimum number of work places in a checking laboratory (CL). Effective methods of solving this problem are based on quantitative estimates of the performance figures of a CL and the construction of a mathematical model. The main elements of an MSS with expectation are input and output flows, servicing channels, and a queue. Analysis of the known methods of solving nonlinear multifactor problems as applied to finding the minimum of target function (1) has shown that the question of the most effective optimization method does not have an unambiguous answer. However, allowance for the engineering specification of the problem and the small number of controllable parameters (Q and L) allow the coordinate-network method to be chosen. Realization of this modeling method of the functioning of a CL on a computer does not require considerable machine time. In particular, the method can be used to determine the optimum number of metrology specialists in traveling CLs for any distribution of request and their service time.