Intelligent scheduling method and system for industrial cigarette transportation

Abstract

Aiming at the actual characteristics of industrial cigarette transportation, the path optimization method suitable for industrial cigarette transportation is constructed by considering the connectivity, the dynamic unloading time and the like of commercial companies, so that the total transportation cost of the industrial enterprises is minimized on the basis of meeting the marketing orders of thecommercial companies. The industrial cigarette pricing mode particularity is considered, through analysis and mining of historical logistics data, key factors such as actual connectivity and load sharing rules among commercial companies are objectively analyzed, the influence of artificial subjective factors is avoided, and the hidden load sharing rules in the data are discovered. According to the invention, a multi-objective intelligent evolution algorithm with a reinforcement learning capability based on a primary and secondary hierarchical framework is constructed, the transportation costof a carrier is reduced as much as possible on the premise that the logistics cost of an industrial enterprise is not improved, an intelligent scheduling system of the industrial enterprise is established, the logistics efficiency is greatly improved, and the logistics cost of the industrial enterprise is reduced.

Description

Technical field [0001] The invention relates to the technical field of logistics transportation scheduling optimization, in particular to an intelligent scheduling method and system for industrial cigarette transportation. Background technique [0002] Cigarette transportation costs of industrial enterprises are the largest single item of logistics costs. Cigarette transportation costs account for about 75% of the total cigarette logistics costs of industrial enterprises. Cigarette transportation is mainly by road transportation, and road transportation costs account for more than 90% of transportation costs. Therefore, for industrial enterprises, reducing the cost of cigarette transportation is an important area for companies to reduce costs and increase efficiency; reducing the cost of cigarette transportation by road is a top priority, and there is a lot of potential to tap. [0003] At present, the logistics and transportation of finished products in industrial enterprises have...

AI Technical Summary

Problems solved by technology

[0004] 1. At present, the dispatching of finished product logistics and transportation adopts manual methods, and the dispatching and loading of vehicles depends on the personal experience of the dispatcher. With the development of my country's transportation industry, the road network is becoming more and more complex, and the route selection method based on manual experience is difficult to keep up with the external environment. Due to the pace of development, it is difficult to achieve the optimal allocation of goods, vehicles and transportation routes. It is difficult to judge scientificity and rationality, and it is easy to generate unnecessary transportation costs.

[0005] 2. Manual scheduling takes up a lot of workload. Under the decentralized scheduling mode, each cigarette factory needs to arrange multiple dispatchers to be responsible for this work. When large batches are delivered in a concentrated manner, continuous overtime work is required, and the labor cost is high.

[0006] 3. There are many links such as warehouse transfer and dumping at the delivery point, resulting in waste of resources and increased indirect logistics costs. The on-site dispatch of vehicles in the factory area lacks effective management and information support

[0007] 4. The transportation routes of finished cigarettes are mainly divided based on the provincial boundaries. The order volume in the transportation routes is uneven, and there is a lack of scientific and reasonable route planning, resulting in waste of resources, high transportation costs and low efficiency.

Some industrial enterprises have also begun to carry out research on the optimization of delivery scheduling, combined with the implementation of logistics informatization projects, to explore the automation and intelligence of transportation scheduling. Distribution, most of the scheduling algorithms are fixed heuristic rules and do not take into account the mining application of historical logistics data

Moreover, due to the inconsistency of industrial enterprise storage layout, management and control mode and other influencing factors, it is still in its infancy as a whole, and has not yet formed a mature, stable and widely applicable cigarette transportation intelligent optimization scheduling model and algorithm research plan

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