Popis: |
The article deals with the problem of managing the effectiveness of the testing organization, which consists in careful planning of tests, rational distribution of workforce and means for testing and timely testing with obtaining accurate and reliable assessments of the suitability of weapons and military equipment to use. It is noted that the testing takes place mainly under conditions of non-stationary and stochastic external and internal processes, which significantly complicates, and sometimes makes impossible, the process of planning the test activity, and, accordingly, reduces the efficiency of testing organization functioning. Finding effective plans for the functioning of the testing organization under uncertainty is possible through adequate system modeling and consideration of all processes that accompany the test activity, for which the use of the analytical apparatus of queuing systems is proposed. For a general consideration of the processes, an initial graphical model of the test organization's queuing system in various variations of service flow of weapons and military equipment samples to be tested is proposed. Attention is focused on the main differences between the proposed model and traditional models of queuing systems. Proposed graphical model of testing organization queuing system and options for processing the requests closely leads to analytical modeling of testing organization functioning. If the assumptions on the regularities of the request input stream are statistically proven, the modeling of processes in queuing system will be much easier. It is suggested to use the correlation method to determine the dependence of the service time of specific pieces of equipment on the internal and external factors influencing the test process. The tasks for further research of the topic, based on the decomposition of processes in queuing system tests and their correct analytical description, are outlined. The realization of such a system will allow the development and implementation of an automated test quality management system. |