Logistics dispatching intelligent distribution method, device and equipment and storage medium

Abstract

The invention discloses a logistics dispatching intelligent distribution method, device and equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of the business data of logistics dispatching, and obtaining a dispatching feature; constructing a freight scheduling intelligent distribution model for guiding logistics distribution work according to the scheduling features and the logistics scheduling constraint conditions; calculating and analyzing each process link and path, solving the freight scheduling intelligent distribution model by utilizing anant colony algorithm, and checking a solving result; and obtaining an optimal solution of the operation route by optimizing the operation parameters with the goals of the maximum contract number delivered by successful stowage on time, the minimum total mileage of all vehicles and the minimum number of used vehicles as goals according to the verification result. In this way, unnecessary repeatedtransportation can be reduced, the single-vehicle full-load rate is increased, reasonable distribution is achieved, the transportation frequency is reduced to the maximum extent, the transportation cost is saved, the professional capacity of cargo stowage optimization and on-time distribution is improved, and therefore the operation efficiency of a logistics system is improved.

Description

technical field [0001] The present invention relates to the technical field of logistics dispatching, in particular to an intelligent distribution method, device, equipment and storage medium for logistics dispatching dispatching. Background technique [0002] The construction of smart logistics scheduling has become an important task to promote the development of smart logistics in the industry. In the actual work of logistics, the dispatching function is affected by many factors, such as: marketing sales area, sales volume, contract volume and other factors, resulting in low efficiency of logistics delivery work, carpooling accuracy rate between delivery points, vehicle loading rate, etc., directly It is reflected in problems such as difficulty in scheduling logistics resources, high logistics distribution costs, passive work, and difficulty in imparting experience. [0003] At present, most of the dispatching and distribution links of enterprises only realize the order p...

AI Technical Summary

Problems solved by technology

In the actual work of logistics, the dispatching function is affected by many factors, such as: marketing sales area, sales volume, contract volume and other factors, resulting in low efficiency of logistics delivery work, carpooling accuracy rate between delivery points, vehicle loading rate, etc., directly It is reflected in problems such as difficulty in scheduling logistics resources, high logistics distribution costs, passive work, and difficulty in imparting experience.

[0003]Currently, most of the dispatching and distribution links of enterprises only realize the order processing function, while the delivery batch calculation, logistics order splitting, model matching, shipping warehouse assignment, transportation Line arrangement and other operations can only rely on single-machine manual operations, telephone notifications, etc., with heavy workload and low efficiency

Due to the imperfect delivery scheduling means and the immature intelligent delivery system, coupled with the high frequency of delivery caused by fragmented orders, the long loading time of carpooling, and the difficulty of scheduling, the entire scheduling and delivery operation capability has been affected, mainly including Several aspects: The first aspect is the waste of capacity resources without load: a single order caused by fragmented orders cannot meet the demand for a single vehicle to be fully loaded. Even if the carpool is loaded, if the order is split unreasonably, it will easily lead to a decrease in the vehicle's full load rate; secondly The first aspect is that the vehicle carpooling prolongs the waiting time: carpooling means that one car is equipped with multiple contracts, and the vehicle needs to go to multiple cargo points for loading without a fixed time limit, which increases the waiting time; the third aspect is the vehicle Passive scheduling: The transportation company can only order vehicles on demand after receiving the transportation plan. The headquarters of the enterprise knows nothing about the vehicle situation (including vehicle location, vehicle condition, etc.), which leads to a passive state of vehicle scheduling, which is likely to cause the supply of goods to be prepared. Not in place; the vehicles are already in place, the supply of goods is insufficient, or the loading and unloading personnel are insufficient, etc., resulting in an increase in loading time; the fourth aspect is that the management methods are not perfect, there is no accurate distribution business simulation tool and a scientific and complete distribution plan, so that a certain Some job nodes are in the state of breakpoint, delay, and hindsight, and it is difficult to trace the order; the fifth aspect is the high cost of transportation scheduling: because the transportation scheduling adopts manual methods, the route selection method based on manual experience is scientific, It is difficult to judge the rationality, it is difficult to realize the optimal allocation of goods, vehicles and transportation routes, and it is easy to generate unnecessary expenses; the sixth aspect is that the market demand cannot be guaranteed in time. Failure to unload the goods in time will seriously affect the arrival time of subsequent unloading points, making it difficult to efficiently guarantee market demand; the seventh aspect is that the transportation route is unreasonable. Due to the small order volume, a large number of carpooling routes often occur, and convective transportation, circuitous transportation, and repeated transportation often occur. Issues such as inappropriate transportation capacity such as transportation, return journey and departure empty driving

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