INFORMATION SYSTEMS AND LOGISTICS IN CIVIL ENGINEERING

Optimizing transport logistics taking into account the state of roads and road traffic

Вестник МГСУ 12/2015
  • Shikul’skaya Ol’ga Mikhaylovna - Astrakhan State University of Architecture and Civil Engineering (ASUACE) Doctor of Technical Science, Professor, Department Chair, Fire Safety and Water Use Department, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishchev st., Astrakhan, 414056, Russian Federation.
  • Esmagambetov Timur Ulykmanovich - Astrakhan State University (ASU) postgraduate student, Department of Information Technologies, Astrakhan State University (ASU), 20a Tatishcheva str., Astrakhan, 414056, Russian Federation.

Страницы 160-173

The choice and use of rational routes at strict observance of deliveries terms help to achieve not only minimization of operational expenses, but also to reduce commodity and production stocks in warehouses by 1,5...2 times. Therefore special relevance is gained by the works allowing precisely calculating the volumes of a cargo transportation, to count the quantity of transport units necessary for providing cargo flow, to define the rational routes of transportation, and also to reduce total costs of transportation. On the basis of the analysis of the known mathematical methods applied in transport logistics, the authors drew a conclusion that the route of freight delivery is estimated according to the distance passed by the vehicle. However the time of freight delivery depends not only on distance, but also on a set of other factors, such as vehicle type, road capacity, intensity of transport stream, weather conditions, season and others. For taking note of additional factors when optimizing a freight delivery route the method of analogy and similarity is used by the authors. The transportation parameters were estimated by analogy with an electric chain. For this purpose the authors entered the new concepts “fictitious distance” and “conductivity of the road”. The mathematical model allowing optimizing the organization of freight delivery taking into account not only distances, but also the probable speed of the vehicle movement depending on the road quality, intensity of transport stream and weather conditions is developed. Further development of the system of decision-making support while choosing the optimum route of cargo delivery is planned.

DOI: 10.22227/1997-0935.2015.12.160-173

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