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A software module for multi-criteria suppliers’ selection with respect to the spare parts logistic

Makarova Irina, Shubenkova Ksenia, Buyvol Polina, Mukhametdinov Eduard

Transport Problems

2020

T. 15, z. 1

105--116

Reliability of vehicles is characterized not only by the quality of production but also by the quality of subsequent maintenance. In this paper, we consider the possible spare parts logistics risks, as they have a huge influence on vehicles’ maintenance. One of the widespread methods to analyze the reliability of complex systems is Fault Tree Analysis (FTA). To identify and systematize all possible risks in spare parts logistics, we have built the Problem Tree. For managing identified risks, we propose a conceptual scheme of an inteligent system. In the framework of this paper, we describe one of the modules that make up this intelligent system. The proposed software module will help to choose the spare parts’ suppliers taking into account their reliability from the logistical point of view. It was tested with the use of real data from an automotive manufacturer.

Safety Features of the Transport System in the Transition to Industry 4.0

Makarova Irina, Shubenkova Ksenia, Buyvol Polina, Mavrin Vadim, Giniyatullin Ilsur, Magdin Kirill

Archiwum Motoryzacji

2019

Vol. 86, nr 4

79--99

World trends in the field of intellectualization and digitalization of all activity spheres, caused by the rapid growth of engineering and technology, have caused serious changes in the transport sector. Road transport has a negative impact on the environment, to a large extent this relates to city’s air pollution in urbanization conditions and the vehicle fleet accelerated growth. Reducing the negative vehicles impact on the environment is possible only through the development of integrated solutions for managing the transport system. Goal of this article is to study the applicability of decision support systems and simulation models to predict the possibility of reducing the negative vehicles impact on the environment. The developed simulation models for road network problem areas of the Naberezhnye Chelny city allow us to study the influence of traffic parameters on the volume of harmful substances in vehicles exhaust gases, as well as noise pollution. Using the model, it is also possible to assess the possible reduction in the degree of air pollution when converting engines public transport to natural gas fuel. Model experiments showed the adequacy of the proposed approach.