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Bulletin of Abai KazNPU. Series of Physical and mathematical sciences

SOLUTION OF PROBLEMS IN OPTIMIZING TRANSPORT LOGISTICS USING GRAPH SCHEMES

Published June 2022

209

145

A.D. Abduvalova+
Taraz Regional University named after M.Kh.Dulaty, Taraz, Kazakhstan
M.M. Abdimomynova+
Taraz Regional University named after M.Kh.Dulaty, Taraz, Kazakhstan
Taraz Regional University named after M.Kh.Dulaty, Taraz, Kazakhstan
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A.D. Abduvalova

candidate of technical sciences DEPARTMENT OF Infofmation System 
Taraz Regional University named after M.Kh.Dulaty, Taraz, Kazakhstan
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M.M. Abdimomynova

candidate of technical sciences DEPARTMENT OF APPLIED INFORMATICS AND PROGRAMMING 
Abstract

The article discusses models and methods for optimizing transport and logistics systems and their elements in the context of market development, which determine a decisive role in the development of logistics. Modern theory and numerical optimization methods are a tool that allows you to make scientifically grounded decisions when driving vehicles using methods and models, quickly and with little resources and time to adapt to changes in the volume of the relevant sectors of transport services.

The article discusses a method for optimizing the mode of logistics systems using computer technologies, in order to increase the level and organization of management of transport and logistics systems with state correction. Directed graph allows you to automate the choice of the smallest way of delivery of goods in a transport network with a complex route, carried out on the basis of the calculated graph,taking into account the specified quality criterion. The paper presents an optimization algorithm for the implementation of the method and a computer calculation to reduce the time for performing transport work.

pdf (Қазақ)
Language

Қазақ

How to Cite

[1]
Абдувалова, А. and Абдимомынова, М. 2022. SOLUTION OF PROBLEMS IN OPTIMIZING TRANSPORT LOGISTICS USING GRAPH SCHEMES. Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 78, 2 (Jun. 2022), 87–94. DOI:https://doi.org/10.51889/2022-2.1728-7901.11.