Multi-strategy parallel logistics resource scheduling method and related device

Abstract

The invention discloses a multi-strategy parallel logistics resource scheduling method. The method comprises: obtaining order input information, obtaining a plurality of packages to be transported andavailable transport vehicles for distribution by utilizing an order grouping strategy and a vehicle selection strategy; matching strategies according to the vehicle packages; selecting a matched package for transportation of the transportation vehicle; the transport vehicle needs to meet the transport limiting conditions of the parcels; finally, loading strategies according to orders, selecting an order for loading into an available vehicle in the matched package. Through designing multiple algorithm strategies in a logistics scheduling system for parallel computing, the problems that in theprior art, various practical limiting conditions are not considered in the logistics transportation and distribution process, a single scheduling strategy is adopted, consequently, the logistics transportation and distribution system is prone to falling into local optimum, an approximately optimal solution cannot be found, and a scheduling algorithm cannot fall onto the ground are solved, the generated scheduling algorithm is more practical, resource waste is reduced, and the transportation efficiency is higher.

Description

technical field [0001] The invention relates to the field of logistics transportation, in particular to a multi-strategy parallel logistics resource scheduling method and related devices. Background technique [0002] Nowadays, the problem of logistics resource scheduling is getting more and more complex with the development of society. However, most enterprises now schedule logistics resources manually based on experience, and all business orders of enterprises are dispatched by the dispatcher The dispatcher selects the vehicle according to the usage of the vehicle and the quantity of goods. Manually selects the number of freight vehicles and transportation routes based on experience, which is highly subjective, resulting in low dispatching efficiency, long transportation time, low utilization of vehicle resources, and route failure. Unreasonable, serious empty driving situation and other problems. [0003] There have been many studies on vehicle scheduling and aircraft sc...

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Problems solved by technology

[0002] Nowadays, the logistics resource scheduling problem, with the development of society, the complexity of this problem is getting higher and higher. However, most enterprises now use manual scheduling in terms of logistics resource scheduling, and all business orders of the company are dispatched by the dispatcher. The dispatcher selects the vehicle according to the usage of the vehicle and the quantity of goods. Manually selects the number of freight vehicles and transportation routes based on experience, which is highly subjective, resulting in low dispatching efficiency, long transportation time, low utilization of vehicle resources, and route failure. Unreasonable, serious empty driving situation and other problems

[0003] There have been many studies on vehicle scheduling and aircraft scheduling. Since the birth of intelligent algorithms, such research has become more and more popular. Most of the existing intelligent algorithms can solve the problem of capacity resource scheduling relatively quickly. Compared with manual scheduling The advantages are obvious, but each intelligent strategy has its own shortcomings. Using a single scheduling strategy to solve the problem without any improvement at all is easy to fall into local optimum, unable to find an approximate optimal solution, and does not consider the constraints in reality. , leading to the failure of the optimization technology to be implemented. In the end, it is not optimization, but the cost and time consumption. Therefore, a method that considers various realistic constraints and can use multiple different strategies to select in parallel for logistics resource scheduling is proposed to obtain a better scheduling plan. method is necessary

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