Cigarette logistics distribution line optimization method

Abstract

The invention provides a cigarette logistics distribution line optimization method, which comprises the steps of acquiring customer information, marking an electronic map, performing first division according to administrative district levels, performing set district division according to a clustering algorithm, performing small combination division according to the clustering algorithm; optimizingthe set area and the small combination division mode obtained by the clustering algorithm according to a specific weight score so as to obtain a division mode of a composite actual distribution demand, and finally performing corresponding distribution route planning according to a neural network algorithm by taking small combination cooperation as a minimum calculation unit; and obtaining a distribution route and a distribution scheme according to the planning route, the customer position, interception loading and route segmentation until all orders are loaded. The problem of large calculation amount of a conventional distribution route calculation method is solved, meanwhile, a more reasonable weight scoring mode is adopted to optimize the distribution area division method, and the routeoptimization method better meeting the actual distribution requirements is obtained, and has a good application prospect.

Description

technical field [0001] The invention relates to the technical field of logistics distribution route planning, in particular to a method for optimizing a cigarette logistics distribution route. Background technique [0002] With the continuous development of the national economy, the improvement of national consumption levels, the relaxation of tobacco management and management policies, and the application of network management technology, the number of retail sales of tobacco cigarettes in my country has grown rapidly, and the distribution methods of cigarettes have also begun to change from centralized to large. The distribution of batches has changed to small batches and distributed distribution, which has brought great challenges to the distribution of cigarettes. [0003] The ideal cigarette distribution process should be to distribute as many users as possible in the shortest distance. When there are fewer users and the distribution area is small, the optimal distributi...

AI Technical Summary

Problems solved by technology

[0003] The ideal cigarette distribution process should be to distribute as many users as possible with the shortest distance. When there are fewer users and the distribution area is small, the optimal distribution route can be obtained through a simple cost algorithm. However, when the number of distribution users When the quantity is large and there are many route choices, the simple route algorithm will bring huge computing tasks, and conventional processors cannot meet the computing needs. At the same time, even if the distribution is carried out according to the shortest and most efficient route, there will be some other problems. For example, there are cross-regional distributions, and the distribution volume between adjacent regions is quite different, which is not conducive to the division and arrangement of vehicles, etc.