Abstract
In work the estimation and a choice of log trucks for the certain technology of export of assortments on technical and economic criteria is considered. The considered algorithm includes the formation of requirements for cars -sortiment trucks from the road transport organizations, the choice of cars present in the market, the calculation of their economic efficiency, the definition of integrated quality indicators and the final choice of the car brand. As a result, the most efficient sorting vehicle is chosen for the selected timber transportation segment and the fleet of the trucking organization is formed, depending on the volume of transportation. The offered technique can be used at formation of a cargo vehicle fleet of any enterprise, its updating, and also at the organization of transportations with a view of fastening of concrete cars behind certain routes.
Highlights
One of the most time-consuming and expensive processes in the timber industry is the transport of timber by road
The considered algorithm includes the formation of requirements for cars -sortiment trucks from the road transport organizations, the choice of cars present in the market, the calculation of their economic efficiency, the definition of integrated quality indicators and the final choice of the car brand
Known methods do not allow to evaluate objectively the purchased timber automobile, which makes their application ineffective in practice
Summary
One of the most time-consuming and expensive processes in the timber industry is the transport of timber by road. The problem is aggravated by the fact that the organization and planning of the transport process for the removal of timber is based on the normative speeds of movement without taking into account the energy assessment and subsequent rapid correction of performance indicators. This complicates the task of increasing the efficiency of forestry vehicles, the choice of rational operating parameters of road trains and determining the TEI of their work.
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More From: IOP Conference Series: Materials Science and Engineering
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