ASSESSMENT OF THE HUMAN FACTOR INFLUENCE ON THE RESULTS OF LABORATORY MEASUREMENTS OF ARMAMENT AND MILITARY EQUIPMENT SAMPLES

Abstract

The article presents a model for evaluating the human factors influence on the results of laboratory measurements of military equipment samples, which allows to increase the accuracy and quality of laboratory measurements due to the leveling of the human factors influence on the measurements results. The model is developed on the basis of the correlation-regression analysis approach, which allows to compare influencing the factor signs of the errors occurrence caused by the human factor with the expected results of measurements and to remove the errors caused by the human factor from the resulting measurement value. The proposed model can be used to predict errors caused by the human factor during laboratory measurements in the process of testing military equipment samples. In the work it was analyzed the characteristics of the human factors impact on the errors occurrence both by groups and by species, which made it possible to identify factor characteristics that affect the results of measurements due to the presence of the human factor. Analytical evaluation characteristics of the results automation possibility in the measurement process are also presented, which made it possible to determine the samples of military equipment, on the measurement of which during the evaluation, the human factor has the highest influence. The proposed model takes into account the correlation of causal factors and types of military equipment, the measurement process of which cannot be automated, which allows to assess the influence of the human factor on the results of laboratory measurements of military equipment samples. The proposed model, in contrast to existing approaches to reducing the influence of the human factor on measurement results, can be used without the need to exclude human participation in the process of laboratory measurements, but to take into account the error caused by the human factor in the process of analyzing the measurement results.