CN113393042A - Automatic planning and arranging method for cargo delivery - Google Patents
Automatic planning and arranging method for cargo delivery Download PDFInfo
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- CN113393042A CN113393042A CN202110686209.8A CN202110686209A CN113393042A CN 113393042 A CN113393042 A CN 113393042A CN 202110686209 A CN202110686209 A CN 202110686209A CN 113393042 A CN113393042 A CN 113393042A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
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Abstract
The invention discloses an automatic planning and arranging method for cargo delivery, which comprises the following steps: s1, manually creating a distribution route; calculating and summarizing historical data influencing distribution route factors, setting a navigation route, estimating the number of required vehicles, calculating corresponding matching degrees according to the positions of drivers and the familiarity degree of the drivers with the set route, and selecting the first 3 drivers as distribution drivers of the route according to the sequence of the matching degrees of the drivers from large to small; s2, allocating and distributing drivers by one key; after the distribution route is established, for goods orders every day, only allocation can be carried out by clicking one key, the system can automatically match the route according to the delivery address of the goods orders, and then match drivers set by the route according to the weight of the goods, and match the drivers in sequence according to the sequence set by the drivers. The invention considers the influence of a plurality of factors influencing the distribution of the route, and has scientific and efficient distribution mode and high accuracy.
Description
Technical Field
The invention relates to the technical field of cargo delivery, in particular to an automatic planning and wiring method for cargo delivery.
Background
For the delivery of goods at the B end, due to the fact that destinations are randomly distributed in various places, when drivers are allocated, the influences of factors such as delivery distance, delivery time, goods weight, the load of delivery vehicles, the familiarity of the drivers to routes and the like need to be considered, and the drivers consist of two parts, wherein one part is self-owned employees of the platform, and the other part is part of drivers with concurrent functions.
At present, two modes for distributing driver goods are mainly used, one mode is that a driver is distributed by a platform background, a dispatching manager manually distributes the driver according to a distribution destination, the other mode is a driver order grabbing mode, after a distribution order is generated, a driver end can check the order to be distributed, the driver can compare with the self distribution capacity according to order goods information and delivery time, the order can be grabbed for distribution, and the driver is bound with the order.
The two methods have advantages and disadvantages, and the following disadvantages mainly exist:
in the first mode, a dispatching manager manually distributes drivers for goods orders, and in the distribution process, the dispatching manager only needs to judge according to own evaluation and needs to be familiar with each delivery destination, the driver and the delivery vehicle to plan a reasonable route, but the dispatching manager cannot be familiar with all aspects.
The second way, the driver can select the familiar destination to deliver by taking the order in an autonomous manner, so that a problem exists in that all the delivery destinations are not known by all the drivers, and in this case, no person can take the order for the goods; since the driver has great autonomy, there may be no person to take the order for some remote or remote orders. Based on the method, the invention provides an automatic planning and wire arranging method for cargo delivery.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides an automatic planning and wiring method for cargo delivery.
An automatic planning and arranging method for cargo distribution comprises the following steps:
s1, manually creating a distribution route; calculating and summarizing historical data influencing distribution route factors, setting a navigation route, estimating the number of required vehicles, calculating corresponding matching degrees according to the positions of drivers and the familiarity degree of the drivers with the set route, and selecting the first 3 drivers as distribution drivers of the route according to the sequence of the matching degrees of the drivers from large to small;
s2, allocating and distributing drivers by one key; after the distribution route is established, for goods orders every day, only allocation can be carried out by clicking one key, the system can automatically match the route according to the delivery address of the goods order, then match drivers set by the route according to the weight of the goods, and sequentially match the drivers according to the sequence set by the drivers;
s3, manually allocating and distributing drivers; for some unmatched or special cases requiring driver changes, the dispatch manager may manually modify the delivery driver.
Preferably, for efficient distribution, one distribution driver belongs to at most two distribution routes.
Preferably, the factors affecting the delivery route include a location of the currently delivered shipment, a weight of the currently delivered shipment, a delivery time of the currently delivered shipment, a load of the currently delivered shipment, and a proficiency level of the driver route.
After the distribution route is set, the driver can be allocated to the goods orders every day by one key, so that the driver allocation of the goods orders is more efficient; the delivery driver belongs to two routes at most, so that the advantage that the driver is more familiar with the routes and the delivery becomes more and more efficient; compared with driver order grabbing, the intelligent allocation method is adopted, and allocation is fairer and more efficient; and the distribution rule considers the influence of a plurality of factors influencing the distribution of the route, and adds the calculation of historical data of the factors influencing the distribution route, so that the distribution mode is scientific and efficient, and the accuracy is high.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
The invention provides an automatic planning and arranging method for cargo delivery, which comprises the following steps:
s1, manually creating a distribution route; calculating and summarizing historical data influencing distribution route factors, setting a navigation route, estimating the number of required vehicles, calculating corresponding matching degrees according to the positions of drivers and the familiarity degree of the drivers with the set route, and selecting the first 3 drivers as distribution drivers of the route according to the sequence of the matching degrees of the drivers from large to small; meanwhile, for the high efficiency of distribution, one distribution driver belongs to two distribution routes at most. Factors affecting the delivery route include the location of the currently delivered shipment, the weight of the currently delivered cargo, the delivery time of the currently delivered cargo, the load on which the currently delivered cargo is loaded, and the proficiency of the driver's route.
S2, allocating and distributing drivers by one key; after the distribution route is established, for goods orders every day, only allocation can be carried out by clicking one key, the system can automatically match the route according to the delivery address of the goods orders, and then match drivers set by the route according to the weight of the goods, and match the drivers in sequence according to the sequence set by the drivers.
S3, manually allocating and distributing drivers; for some unmatched or special cases requiring driver changes, the dispatch manager may manually modify the delivery driver.
In the present invention, the factors affecting the delivery route include the current delivery position, the weight of the currently delivered goods, the delivery time for delivering the currently delivered goods, the load for loading the currently delivered goods, and the proficiency level of the driver route. The invention provides an automatic planning and arranging system for cargo delivery, which comprises a deployment center, a delivery historical data storage module, a delivery address selecting module and a delivery driver adapting module, wherein after a deployment worker selects a delivery address by selecting the delivery address module, the deployment center retrieves data of factors influencing a delivery route from the delivery address in the delivery historical data storage module, finally, corresponding matching degrees are calculated by the delivery driver adapting module according to the position of a driver and the familiarity degree of the driver with the set route, the first 3 delivery drivers are selected as the delivery drivers of the route according to the sequence from large to small of the matching degrees of the drivers, so that the proper delivery drivers are selected by the delivery driver adapting module, and the delivery drivers can be manually selected according to the current position of the delivery drivers and vehicle information.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (3)
1. An automatic planning and arranging method for cargo distribution is characterized by comprising the following steps:
s1, manually creating a distribution route; calculating and summarizing historical data influencing distribution route factors, setting a navigation route, estimating the number of required vehicles, calculating corresponding matching degrees according to the positions of drivers and the familiarity degree of the drivers with the set route, and selecting the first 3 drivers as distribution drivers of the route according to the sequence of the matching degrees of the drivers from large to small;
s2, allocating and distributing drivers by one key; after the distribution route is established, for goods orders every day, only allocation can be carried out by clicking one key, the system can automatically match the route according to the delivery address of the goods order, then match drivers set by the route according to the weight of the goods, and sequentially match the drivers according to the sequence set by the drivers;
s3, manually allocating and distributing drivers; for some unmatched or special cases requiring driver changes, the dispatch manager may manually modify the delivery driver.
2. The method as claimed in claim 1, wherein a delivery driver belongs to at most two delivery routes for efficient delivery.
3. The method of claim 1, wherein the factors affecting the delivery route include a current delivery location, a current weight of the currently delivered cargo, a delivery time for delivering the current cargo, a loading weight for loading the currently delivered cargo, and a driver's route proficiency.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110686209.8A CN113393042A (en) | 2021-06-21 | 2021-06-21 | Automatic planning and arranging method for cargo delivery |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110686209.8A CN113393042A (en) | 2021-06-21 | 2021-06-21 | Automatic planning and arranging method for cargo delivery |
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| CN113393042A true CN113393042A (en) | 2021-09-14 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151443A (en) * | 2023-11-01 | 2023-12-01 | 青岛盈智科技有限公司 | Intelligent dispatching system for truck transportation process |
Citations (4)
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|---|---|---|---|---|
| US20190316926A1 (en) * | 2016-02-03 | 2019-10-17 | Kevin Sunlin Wang | Method and system for providing an individualized eta in the transportation industry |
| US20200082323A1 (en) * | 2018-09-12 | 2020-03-12 | Graphmasters SA | Shipment distribution system and method for distribution of goods shipments |
| CN112053120A (en) * | 2020-09-27 | 2020-12-08 | 北京工商大学 | Distribution vehicle path planning method with detachable requirements |
| CN112396368A (en) * | 2020-10-28 | 2021-02-23 | 天津五八到家货运服务有限公司 | Distribution route planning method and system and server equipment |
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- 2021-06-21 CN CN202110686209.8A patent/CN113393042A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190316926A1 (en) * | 2016-02-03 | 2019-10-17 | Kevin Sunlin Wang | Method and system for providing an individualized eta in the transportation industry |
| US20200082323A1 (en) * | 2018-09-12 | 2020-03-12 | Graphmasters SA | Shipment distribution system and method for distribution of goods shipments |
| CN112053120A (en) * | 2020-09-27 | 2020-12-08 | 北京工商大学 | Distribution vehicle path planning method with detachable requirements |
| CN112396368A (en) * | 2020-10-28 | 2021-02-23 | 天津五八到家货运服务有限公司 | Distribution route planning method and system and server equipment |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151443A (en) * | 2023-11-01 | 2023-12-01 | 青岛盈智科技有限公司 | Intelligent dispatching system for truck transportation process |
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