CN110910040A - Long-term task planning method for freight of whole vehicle and intelligent transportation scheduling system thereof - Google Patents
Long-term task planning method for freight of whole vehicle and intelligent transportation scheduling system thereof Download PDFInfo
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- CN110910040A CN110910040A CN201911219902.3A CN201911219902A CN110910040A CN 110910040 A CN110910040 A CN 110910040A CN 201911219902 A CN201911219902 A CN 201911219902A CN 110910040 A CN110910040 A CN 110910040A
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000007774 longterm Effects 0.000 title claims abstract description 9
- 238000007726 management method Methods 0.000 claims abstract description 38
- 238000009960 carding Methods 0.000 claims description 3
- 239000000969 carrier Substances 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 6
- 230000009286 beneficial effect Effects 0.000 description 1
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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
- G06Q10/06—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
- G06Q10/06315—Needs-based resource requirements planning or analysis
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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
- G06Q10/06—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
- G06Q10/06316—Sequencing of tasks or work
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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
Abstract
The invention relates to the field of vehicle transportation management, and discloses a planning method for long-term freight tasks of a whole vehicle and an intelligent transportation scheduling system thereof, wherein the method comprises the steps of integrating and expanding the existing transportation resource pool; carrying out classification marking and planning on the transportation tasks; and setting the bargaining rule of the goods into a configurable form. The system comprises a background management end, a carrier end and a driver end; the background management end is connected with the carrier end and the driver end, issues task information to the carrier end and the driver end, and receives the task receiving information fed back. The method and the system solve the problems of difficult management of goods resources and long transportation time in the logistics process of vehicle freight of the current production and manufacturing enterprises, improve the transportation efficiency and reduce the cost.
Description
Technical Field
The invention relates to the field of vehicle transportation management, in particular to a planning method for long-term freight tasks of a whole vehicle and an intelligent transportation scheduling system thereof.
Background
At present, in the field of logistics freight, a large number of return empty situations exist. Particularly, when the transprovincial transportation is carried out, faults appear in the transportation in and out due to different resource output time periods needing transportation in each region, and the allocation and planning of transportation resources are not effectively carried out. Meanwhile, in the period of sufficiency and shortage (commonly called as the weak and busy season), no effective management means is provided for distributing the existing resources. At the same time, external resources are not sufficiently excavated and utilized.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the existing problems, the method for planning the long-term freight tasks of the whole vehicle and the intelligent transportation scheduling system thereof are provided, and the process is simple and efficient.
The technical scheme adopted by the invention is as follows: a method for planning long-term tasks of freight transportation of a whole vehicle specifically comprises the following steps:
integrating the transport resource pool, and sorting and carding the transport resources in the existing resource pool;
expanding the transportation resources, and guiding the transportation resources which are not contained in the existing resource pool into the existing transportation resource pool;
the transportation tasks are classified and marked, so that the transportation time is saved;
planning a transportation task, dividing the transportation task into a self-service task and other tasks, reasonably distributing transportation resources and improving the transportation efficiency;
the bargaining rules of the transportation tasks are processed in a configurable mode, and reasonable and flexible adjustment is carried out according to the current logistics input cost of manufacturing enterprises.
Furthermore, the classification marking of the transportation task is realized by combing and accurately classifying the route, the type of the goods source and the requirements of the goods source; the time of cargo transportation is saved.
Further, the self-supporting task is specifically the logistics transportation requirement in the enterprise.
Further, the self-operation task directly designates a certain transportation resource for transportation; no peer competition exists, and the flow is reduced.
Further, the other tasks are external tasks or third-party tasks.
Further, the other tasks bid through the transportation resources in the transportation resource pool to determine the transportation resources required to be transported by the other tasks; and bidding transportation can be carried out on the transportation tasks by the transportation resources in all the transportation resource pools, and the system selects to complete the transaction according to the transaction rule.
An intelligent transportation scheduling system, comprising:
the system comprises a background management end, an APP carrier end and an APP driver end;
the background management end is respectively connected with the APP carrier end and the APP driver end, the background management end respectively transmits the transportation task information to the APP carrier end and the APP driver end, and receives the task receiving condition information returned by the APP carrier end and the APP driver end.
Further, the work content of the background management end includes: configuring basic data of the transportation tasks, configuring classification marks of the transportation resources, configuring bargaining rules of the transportation tasks and configuring pushing rules of the transportation tasks.
Further, the APP carrier end carries out information authentication and classification on the registered carrier, and after classification, the background management end carries out task pushing according to the classification information; after the APP carrier end receives the transportation task, corresponding operation is carried out according to the type of the transportation task; if the transportation task is a self-service task, directly receiving orders and selecting a driver and a vehicle for transportation; and if the transportation tasks are other transportation tasks, selecting the driver and the vehicle, then performing quotation, and after the quotation, confirming whether the transportation is carried out according to the transaction condition of the background management end.
Further, the APP driver side performs information authentication and classification on the registered driver, and after classification, the background management side performs task pushing according to the classification information; after the APP driver end receives the transportation task, corresponding operation is carried out according to the type of the transportation task; and if the transportation task is a self-operation task, directly receiving the order for transportation, if the transportation task is other transportation tasks, quoting, and after quoting, confirming whether to transport or not according to the transaction condition of the background management end.
Compared with the prior art, the beneficial effects of adopting the technical scheme are as follows: the efficiency of freight transportation is improved, the freight cost has been reduced.
Drawings
FIG. 1 is a flow chart of the operation of the system of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Example 1
A method for planning long-term tasks of freight transportation of a whole vehicle specifically comprises the following steps:
1. integrating the existing transportation resource pool, and performing accurate classification and carding;
2. expanding the transportation resources, and guiding the transportation resources to the existing transportation resource pool;
3. planning the transportation task and reasonably distributing the transportation resources. The transportation task is divided into self-service task and other tasks.
4. The bargaining rule of the goods is configurable, and the adjustment is reasonably and flexibly carried out according to the current logistics investment cost of manufacturing enterprises.
Preferably, the self-service task is the logistics transportation requirement in an enterprise, and vehicles in the enterprise can be directly dispatched; the transportation task can directly designate a certain transportation resource for transportation, and has no peer competition relationship in the middle.
Preferably, the other tasks are external tasks or third-party tasks, in order to reduce the transportation cost, the transportation resources in all the transportation resource pools can carry out bidding transportation on the transportation tasks, and the system selects to complete the transaction according to the transaction rule.
An intelligent transportation scheduling system, the user is: the system mainly comprises a manufacturing goods owner, a logistics carrier and a driver, wherein the manufacturing goods owner, the logistics carrier and the driver mainly comprise: background management end, APP carrier end and APP driver end, background management end dock with APP carrier end and APP driver end respectively, and the backstage management end transmits transportation task information to APP carrier end and APP driver end respectively, and the task receipt condition information that receipt APP carrier end and APP driver end returned is received.
The background management end mainly comprises the following working contents:
configuring basic data of a transportation task, wherein the basic data comprises goods specification, transportation vehicle type, vehicle length, initial place administrative region and other data;
configuring basic data such as transportation resource classification, personalized marking and the like;
and configuring a task bargaining rule and a task pushing rule.
As shown in fig. 1, the operation flow diagram of the system of the present invention, the background management end-operation flow description:
and the background management end imports the requirements of the transportation task through adding a new table, wherein the requirements mainly comprise detailed information such as goods names, weight/volume, vehicle type requirements, starting places and the like. And selectively releasing the label classification types of the carriers and the drivers to the transportation task pools at the APP carrier end and the APP driver end.
And the background management end automatically completes the transaction task according to the task receiving condition of the carrier or the driver through the configured transaction rule.
APP Carrier-side operating Specifications:
the carrier needs to register the platform and authenticate information at the carrier end, and then maintain the vehicle and the driver after authentication. And accurately classifying according to the labels given by the background management end system. After classification, the information can be transmitted to a background management end to serve as a standard for the background management end to send tasks.
And after receiving the task sent by the background management end, the carrier performs corresponding operation according to the task type. And (5) directly receiving the order for self-operation tasks, and selecting a driver and a vehicle for transportation. And other tasks need to select the driver and the vehicle, then quote, and after quotation, whether to transport or not is confirmed according to the background transaction condition.
Driver side operation instruction:
the driver needs to register the platform and authenticate information at the driver end, and after authentication, the driver maintains the driving information and the vehicle information. And carrying out accurate classification according to the labels given by the background management end system. After classification, the information can be transmitted to a background management end to serve as a standard for the background management end to send tasks.
And after receiving the task sent by the background management end, the driver performs corresponding operation according to the task type. And (4) directly receiving orders for transportation for self-operation tasks, requiring quotation for other tasks, and confirming whether transportation is carried out or not according to the transaction condition of the background management end after quotation.
The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification and any novel method or process steps or any novel combination of features disclosed. Those skilled in the art to which the invention pertains will appreciate that insubstantial changes or modifications can be made without departing from the spirit of the invention as defined by the appended claims.
Claims (10)
1. A method for planning long-term tasks of freight transportation of a whole vehicle is characterized by comprising the following steps:
integrating the transport resource pool, and sorting and carding the transport resources in the existing resource pool;
expanding the transportation resources, and guiding the transportation resources which are not contained in the existing resource pool into the existing transportation resource pool;
carrying out classification marking on the transportation tasks;
planning a transportation task, dividing the transportation task into a self-service task and other tasks, and reasonably distributing transportation resources;
and processing the bargaining rules of the transportation tasks in a configurable mode.
2. The method for planning the long-term freight mission of the whole vehicle according to claim 1, wherein the classification labels of the transportation mission specifically include a route, a source type and a source requirement.
3. The method according to claim 1, wherein the self-supporting task is a logistics transportation requirement in an enterprise.
4. The method for planning the forward mission of freight transportation of whole cars according to claim 1 or 3, characterized in that the self-supporting mission directly designates a transportation resource for transportation.
5. The method of claim 1, wherein the other tasks are external tasks or third-party tasks.
6. The method for planning the forward mission of freight transportation of whole vehicle according to claim 1 or 5, wherein the other mission carries out bidding through the transportation resources in the transportation resource pool to determine the resources which need to be transported by the other mission.
7. An intelligent transportation scheduling system based on the method of claim 1, comprising: the system comprises a background management end, an APP carrier end and an APP driver end;
the background management end is respectively connected with the APP carrier end and the APP driver end, the background management end respectively transmits the transportation task information to the APP carrier end and the APP driver end, and receives the task receiving condition information returned by the APP carrier end and the APP driver end.
8. The intelligent transportation scheduling system of claim 7, wherein the working content of the background management end comprises: configuring basic data of the transportation tasks, configuring classification marks of the transportation resources, configuring bargaining rules of the transportation tasks and configuring pushing rules of the transportation tasks.
9. The intelligent transportation scheduling system of claim 7 or 8, wherein the APP carrier terminal authenticates and classifies the information of the registered carriers, and after classification, the background management terminal pushes tasks according to the classification information; after the APP carrier end receives the transportation task, corresponding operation is carried out according to the type of the transportation task; if the transportation task is a self-service task, directly receiving orders and selecting a driver and a vehicle for transportation; and if the transportation tasks are other transportation tasks, selecting the driver and the vehicle, then performing quotation, and after the quotation, confirming whether the transportation is carried out according to the transaction condition of the background management end.
10. The intelligent transportation scheduling system of claim 7, wherein the APP driver side authenticates and classifies information of registered drivers, and after classification, the background management side pushes tasks according to classification information; after the APP driver end receives the transportation task, corresponding operation is carried out according to the type of the transportation task; and if the transportation task is a self-operation task, directly receiving the order for transportation, if the transportation task is other transportation tasks, quoting, and after quoting, confirming whether to transport or not according to the transaction condition of the background management end.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911219902.3A CN110910040A (en) | 2019-12-03 | 2019-12-03 | Long-term task planning method for freight of whole vehicle and intelligent transportation scheduling system thereof |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911219902.3A CN110910040A (en) | 2019-12-03 | 2019-12-03 | Long-term task planning method for freight of whole vehicle and intelligent transportation scheduling system thereof |
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| CN110910040A true CN110910040A (en) | 2020-03-24 |
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| CN201911219902.3A Pending CN110910040A (en) | 2019-12-03 | 2019-12-03 | Long-term task planning method for freight of whole vehicle and intelligent transportation scheduling system thereof |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11296581A (en) * | 1998-04-08 | 1999-10-29 | Hitachi Ltd | Method and system for freight information management using electronic tag |
| CN106815702A (en) * | 2016-12-23 | 2017-06-09 | 上海天地汇供应链管理有限公司 | A kind of Smartway dispatch management method |
| CN109377047A (en) * | 2018-10-22 | 2019-02-22 | 广州汽车集团乘用车（杭州）有限公司 | Intelligent logistic Monitoring and managing system |
-
2019
- 2019-12-03 CN CN201911219902.3A patent/CN110910040A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11296581A (en) * | 1998-04-08 | 1999-10-29 | Hitachi Ltd | Method and system for freight information management using electronic tag |
| CN106815702A (en) * | 2016-12-23 | 2017-06-09 | 上海天地汇供应链管理有限公司 | A kind of Smartway dispatch management method |
| CN109377047A (en) * | 2018-10-22 | 2019-02-22 | 广州汽车集团乘用车（杭州）有限公司 | Intelligent logistic Monitoring and managing system |
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