Polina Buyvol

Risk Analysis in the Appointment of the Trucks’ Warranty Period Operation

Reliability is currently one of the factors affecting the competitiveness of vehicles. Vehicles become highly reliable due to the integrated approach to all stages of their “life cycle”: design, production and operation. The most important for the manufacturer is the warranty service, because this stage is characterized by an increased probability of failure, and the manufacturer takes responsibility for their elimination. The authors propose to take into account the risks of failures of various units, assemblies and systems of the car during the appointment of the warranty period. This study used the statistics of failures received from the dealer and the service network, and from the reliability department of the engine manufacturer. The results of the study show that the use of the proposed methodology will reduce the costs of the truck manufacturer.

Intellectualization of the management processes at the enterprise of automotive industry

Complex production systems, such as the trucks manufacturing, require the intellectualization of processes. Introduction of smart technologies (Industry 4.0) in automotive industry requires new approaches to the managerial decisions making, thus the modelling of a control system becomes the most important part of the manufacturing optimization. In this paper, we present an assembly line simulation model with dynamically changing parameters that allows reacting quickly to the production systems changes. A software module has been developed to automatically perform such functions, as monitoring the operations (statuses) on positions and developing recommendations to organize logistical flows. The algorithm to determine the state of the assembly lines position is presented. Introduction of such approach in automotive industry will allow not only optimizing processes and improving product quality, but also establishing favorable conditions for the subsequent intellectualization of the automotive service.

Improving the Quality of Engineering Education by Developing the System of Increasing Students’ Motivation

Currently, intellectualization processes cover all areas of activity, which is accompanied by an increase in the requirements for the competence of engineers. At the same time, interest of young people in obtaining an engineering education has decreased in many countries. The authors have studied the causes of this phenomenon. The article is devoted to analysis of relation between the quality of engineering education and the level of students motivation. Ways to increase motivation through the application of innovative technologies and creation the learning outcomes monitoring system are considered.

Intellectualization of the Spare Parts Supplier Selection by the Analysis of Multi-criterial Solutions

The quality of automobiles efficiency maintaining is largely determined by the effectiveness of providing system of dealer and service centers with spare parts. It is necessary to analyze the characteristics of suppliers and the distribution of flow requests for spare parts, taking into account reliability factor of the supplier by the control center of the firm service system. The authors proposed a methodology for multi-criteria evaluation of the spare parts suppliers, which is determined not only by the reliability of compliance with the terms of supply and the organization of logistics processes, as well as the reliability and quality of the spare parts themselves. Also, in order to assess the probability of fulfillment of obligations by the new supplier, a methodology for forecasting such indicators characterizing the supplier’s reliability, as the delivery time, the spare part quality and the level of shortages, is described with usage of logistic regression.

Interactive (Intelligent) Integrated System for the Road Vehicles’ Diagnostics

Existing organization schemes of the vehicles’ diagnostics are considered in the article and interactive complex vehicle diagnostic system is proposed on the basis of this analysis. The diagnostic algorithm is presented. To implement it, the intelligent diagnostic system based on monitoring the residual life of the vehicle’s units and assemblies is developed. It consists of Server of diagnostics, Autonomous information-diagnostic blocks and Display and control unit. Currently, module for collection and processing information is developed. Operational tests of the vehicles when the sensors were installed were carried out together with manufacturer “KAMAZ”.