Optimization Of Technological Transport Sets Using Anylogic Simulation Environment

Vladimir I. Bauer (), Artem V. Bazanov, Evgeniy S. Kozin, Vasiliy M. Nemkov and Aleksandr A. Mukhortov
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Vladimir I. Bauer: Vietnam Maritime University, Haiphong city, Vietnam
Artem V. Bazanov: Department of Automobiles and Technological Machines Service, Tyumen Industrial University, 38 Volodarskiy Str., Tyumen, Russian Federation
Evgeniy S. Kozin: Department of Automobiles and Technological Machines Service, Tyumen Industrial University, 38 Volodarskiy Str., Tyumen, Russian Federation
Vasiliy M. Nemkov: Department of Automobiles and Technological Machines Service, Tyumen Industrial University, 38 Volodarskiy Str., Tyumen, Russian Federation
Aleksandr A. Mukhortov: Transneft Siberia, JSC, 139 Republic Str., Tyumen, Russian Federation

Journal of Mechanical Engineering Research & Developments (JMERD), 2019, vol. 42, issue 2, 41-43

Abstract: The article presents a solution to the problem of finding the optimal number of standard sets for technological transport for the Trunk Pipeline Management Department in Western Siberia. The main task of the Department is to maintain the efficiency of the oil trunk pipeline system. Related business units with the same functionality may have significant differences in the length of pipelines, their reliability, natural and climatic conditions, infrastructure and road network. The existing regulations for equipping the units with technological transport do not take into account these factors completely. A simulation model for transport servicing of the oil pipeline system has been developed by the method of agent modeling in Anylogic environment, which allows using GIS maps with transport bases and pipelines. Based on modeling it is proposed to generate corrections of existing normative documents on the need for technology.

Keywords: Simulation modeling; technological transport; main oil pipelines; the need for equipment; park structure (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zjmerd:v:42:y:2019:i:2:p:41-43

DOI: 10.26480/jmerd.02.2019.41.43

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