CONCEPTUAL MODEL OF DETERMINING THE PREDICTED AMOUNT OF REPAIR PARTS TAKING INTO ACCOUNT SMALL RETRIEVALS OF STATISTICAL DATA

Abstract

Work planning of automobile operating companies for the proper period considerably influences prediction of specific expenses, including expenses related to purchasing and setting of spare parts. An additional factor, that complicates prediction of transport vehicles technical state evaluation is the accumulation of plenty of statistical data, samples of which are not presentable for further modelling by small automobile operating companies. Analysis of present concepts of spare parts modelling results in necessity of a more simplified model development. In the article there is suggested the use of knowledge base for formation and use of analytical relations in the form of leading functions of refuses. The developed algorithm of analysis of mobile composition parameters with the use of knowledge base, allows shortening time to determine the amount of spare parts for a planned period. The presented conceptl model differs from the existing ones by the improved algorithm with the presence of knowledge base. The most attractive market segment for the practical use of the model is by small automobile operating companies.