Methodology of technological equipment range substantiation in auto transport enterprises
The article presents the method of technological equipment range substantiation intended for the maintenance and repair of vehicles of motor transport enterprises. It is noted that the technological equipment of road transport enterprises is divided into three groups according to their functional characteristics: environmentally binding - ensuring the protection of labor and the environment (group A); technologically necessary (group B); productive - designed to increase productivity, including improving the quality of work and resource conservation (group C). The range of equipment for the first two groups is based on the size of enterprises. For large enterprises, this list ensures the performance of all types of work. Small businesses perform part of the maintenance and repair operations at specialized service stations. The third group of technological equipment requires a feasibility study taking into account performance, level of manufacturability, cost and level of load. The last factor requires a separate approach, as it is probabilistic in nature. In this regard, the author proposes to determine the loading level using formulas of the mass service theory with regard to equipment performance compared with manual labor or with performance of outdated equipment. Using the analytical links between the level of loading and the upgraded equipment performance, it was possible to construct a nomogram of the boundary value of the level of loading depending on the ratio of unit costs from vehicle downtime, the worker's tariff rate and the cost of equipment downtime. A nomogram was also constructed to determine the minimum and optimal load levels from the ratio of the cost of vehicle and equipment downtime. Thus, the boundary conditions proposed in the methodology for the economic feasibility of operating technological equipment in motor transport enterprises make it possible to take into account cost indicators, performance and probabilistic nature of the capacity load in the technical service departments and to make optimal decisions when increasing the level of work mechanization during maintenance and repair of motor vehicle fleets.