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Development of the procedure for simulation modeling of interrelated transport processes on the main road network

S. Sharai,M. Oliskevych,M. Roi

Published 2019 in Eastern-European Journal of Enterprise Technologies

ABSTRACT

Because of socio-economic changes and under the influence of the phenomena of economy globalization, logistic chains (LC) of goods and raw materials supply at enterprises are changing. The chains become longer and more complex in structure. Under the influence of information technologies accompanying material and financial flows, the integration of separate supply chains, which are independent economic units, is intensified. It also expands the geography of movement of material flows, which is manifested, in particular, in the increasing cargo turnover in the international and intercity connection in road transport. All these trends amid increased competition among transportation companies (TC) force to look for new methods for the LC control, to develop cooperation in production activities and increase the efficiency of using own fleets of automotive transport vehicles (ATV). The most successful control of transport processes (TP) can be realized in establishing the patterns of emergence and transformation of material flows. The receipt of orders for cargo transportation, which are considered as sources of cargo flows, is a stochastic process. In most cases the execution of transport cycles in intercity combination also has stochastic content. That is why one of the most common methods for researching material flows in transport systems are the methods of queuing theory (QT). The processes of emergence and handling of the transportation orders, which have the properties of the simplest Poisson flows are well-studied. In practice, the assumption about the simplest flows is not true due to several reasons. Firstly, there is no condition of ordinariness of random events. The period of Received date 11.07.2019

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Eastern-European Journal of Enterprise Technologies

  • Publication date

    2019-10-22

  • Fields of study

    Geography, Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.15587/1729-4061.2019.179042
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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