Bazhinov A. The improvement of forecasting methods for requirements in spare parts for power-plant auto-truck.

The aim of the given work is to improve the efficiency of trucks on the basis of improved methods of forecasting demand for spare parts. Object of study - forecast ing of failures of the transport vehikle elements and spare parts consumption of ICE and transmissions under differen operational conditiong. Subject of investigation - review and development of methods for forecasting demand for ICE spare parts and transmissions under differen operational conditiong.. Research methods. The main method of theoretical and experimental research is a systematic analysis and use of mathematical modeling, mathematical statistics, specially developed techniques, use of computers. Scientific novelty of the results obtained. For the first time on the basis of energy approach there revealed the relationship between the demand ABC spare parts for groups ABC, fuel and technical condition of vehicles, which allowed the development of new methods of forecasting demand for spare parts. Accounting of energy parameters and technical condition of vehicles allowed to refine the methodology of planning the supply of spare parts ABC groups for internal combustion engines and transmissions, as well as the choice of rational use of venicleg for the given external conditions under which the demand for spare parts. The practical significance of the results. A technique of forecasting and valuation of requirements for spare parts, providing differentiation consumption of spare parts, depending on traffic, transport, atmospheric and climatic conditions, as well as taking into account the culture of operation and individual characteristics of a particular venicle is created. The standarts of demand for spare parts ore determined by means of calculation- analytical method for vehicleg of KAMAZ type. The Rateg of consumption of spare parts for KAMAZ vehicleg are determined experimentally. The developed methods allow for energy costs to transport work for determine the need for spare parts with sufficient accuracy for practical purposes, that will significantly increase the resource usage of cars and will give a high economic effect in the operation and maintenance. Implementation of this paper consists in the use of the research in the form of guidelines and software during operation of automobiles and is implemented at JSC "ATP - 16 365", at automobile enterprise 2250 and Kharkov "Autostrada" LTD.