Abstract
The article deals with the approach to modeling the road transport movement in large cities (with a population of over 100 thousand people) for the delivery of goods from a large warehouse to stores belonging to a trading network company, with the task of optimizing these movements. The main purposes of this optimization task are: to reduce the transportation time; to conduct a rational distribution of vehicles; to reduce the number of required vehicles involved in these transportations; to reduce operating costs for the maintenance of vehicles. The problem statement and its solution on the basis of heuristic algorithms of the Traveling Salesman Problem are given. The article presents a comparative analysis of the most popular methods for solving the Traveling Salesman Problem (Greedy Approach, Modified Greedy Approach, Minimum Spanning Tree, Monte Carlo Simplification Model, Ant Colony Optimization, Algorithm of Little) on the basis of experimental research and simulation. As a result of the analysis, it is proposed to use the Algorithm of Little for optimizing of road transport movement in the delivery of goods. The article provides an example of solving a specific problem using the developed calculation procedure and a computer program “Traveling Salesman Problem” (developed in Pascal in the software environment Delphi 7).
Highlights
The configuration of cities and their convenience for life depend on transport factors, one of the most important is motorization
Material flow is fundamental in logistics. It is formed as a result of transportation, storage and other material operations with raw materials, semi-finished products and finished
Material flows include: transportation of raw materials and semi-finished products from suppliers and products of work in progress within the enterprise, activities related to the transshipment of goods from one transport vehicle to another, placement and storage of goods, selection, packaging and storage, further transportation to customers [1, 2]
Summary
The configuration of cities and their convenience for life depend on transport factors, one of the most important is motorization. In order to improve traffic conditions and prevent chronic congestion on the road network, various transport policy measures are applied, in particular modern traffic management methods that allows to use available resources of the road network the most effectively. In this regard, it is important to optimize logistics flows in urban environments. Material flows include: transportation of raw materials and semi-finished products from suppliers and products of work in progress within the enterprise, activities related to the transshipment of goods from one transport vehicle to another, placement and storage of goods, selection, packaging and storage, further transportation to customers (operational and sales work) [1, 2]
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