CN110796413A - Cargo distribution method and device, storage medium and electronic equipment - Google Patents
Cargo distribution method and device, storage medium and electronic equipment Download PDFInfo
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- 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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- 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
- G06Q30/00—Commerce
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- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The present disclosure relates to the technical field of cargo distribution, and in particular to a cargo distribution method, a cargo distribution device, a storage medium, and an electronic device, wherein the method analyzes received cargo shortage information to obtain a demand state and a matching index of a cargo indicated by the cargo shortage information; confirming whether the demand state of the goods indicated by the goods shortage information is an emergency state; and when the demand state of the goods indicated by the goods shortage information is an emergency state, matching the goods in the emergency state with a target supplier from a supplier capability portrait resource library according to the matching index, and generating supplier order receiving information so that the target supplier completes the distribution of the goods in the emergency state according to the supplier order receiving information. Through the arrangement, the problem that goods in an emergency demand state cannot be delivered in time is solved, the workload of purchasing businessmen is effectively reduced, and the delivery timeliness of the goods is improved.
Description
Technical Field
The present disclosure relates to the technical field of purchasing systems, and in particular, to a method and an apparatus for delivering goods, a storage medium, and an electronic device.
Background
In enterprises, the sources of the demands of purchasing business are various, and there are demands generated by a main production plan, a material delivery demand plan and stock shortage of planning departments, and there are industrial and commercial integrated business demands for satisfying order-by-sale, regular purchasing demands determined according to long-term purchasing contracts, and sporadic purchasing demands. The supplier can selectively take orders according to the demands, or directly sends purchase orders to the supplier by a buyer to carry out the purchase of the goods. The purchase order is a feasible purchase order plan made by the enterprise according to the material plan and the actual capacity of the product and relevant factors, and the order is tracked in the process of reaching the execution of the supplier, so that the enterprise can purchase the required goods of the enterprise from the purchase environment and deliver qualified raw materials and accessories to the production department and the demand department.
At present, a purchasing plan in an enterprise is obtained by statistics of purchasing businessmen according to the material shortage condition, besides goods needing to be tendered, the selection of suppliers of common goods is specified by virtue of experience and credit conditions of the suppliers, the manual intervention condition is obvious, the suppliers still need to be communicated with the suppliers after the suppliers are confirmed internally, and then the process is complicated. Some goods with emergency demands are still processed according to the order of issuing purchasing demands, so that the goods with emergency demands cannot be received by the supplier in time. Therefore, a cargo distribution method is urgently needed to solve the problem that the cargo with an urgent need cannot be distributed in time.
Disclosure of Invention
In view of the above problems, the present disclosure provides a cargo distribution method, a cargo distribution device, a storage medium, and an electronic device, which solve the problem that cargo in an emergency demand state cannot be distributed in time.
In a first aspect, the present disclosure provides a cargo distribution method, the method comprising:
analyzing the received cargo shortage information to obtain a demand state and a matching index of the cargo indicated by the cargo shortage information;
confirming whether the demand state of the goods indicated by the goods shortage information is an emergency state;
and when the goods are in the emergency state, matching the target supplier for the goods in the emergency state from the supplier capability portrait resource library according to the matching index, and generating supplier order receiving information so that the target supplier completes the distribution of the goods in the emergency state according to the supplier order receiving information.
Optionally, the method further includes:
when the goods are not in the emergency state, a supplier self order-accepting mark is added to the goods which are not in the emergency state, so that the supplier is allowed to select whether to distribute the goods with the supplier self order-accepting mark.
Optionally, before the step of matching the goods in emergency with the target supplier from the supplier capability representation resource library according to the matching index, the method further comprises:
the method comprises the steps of obtaining statistical data of preset evaluation indexes of a supplier, and processing the statistical data through a preset evaluation method to establish a supplier capability portrait resource library.
Optionally, when the cargo is in an emergency state, matching a target cargo in the emergency state from a supplier capability representation resource library according to the matching index, and generating supplier order receiving information, including:
when the goods are in an emergency state, matching a target supplier meeting the matching index from a supplier capability portrait resource library, and generating order confirmation information by combining goods shortage information corresponding to the goods in the emergency state;
and receiving order feedback information aiming at the order confirmation information, and generating supplier order taking information when the order feedback information indicates that the target supplier is the confirmed supplier so as to enable the target supplier to finish the delivery of the goods.
Optionally, matching a target provider satisfying the matching index from a provider capability representation resource library, includes:
matching: matching suppliers meeting the matching index from a supplier capability portrait resource library;
an output step: outputting information of the supplier to receive replacement selection information for the supplier;
iteration step: and when the replacement selection information represents that the matched supplier needs to be replaced, returning to execute the matching step until the replacement selection information represents that the supplier does not need to be replaced and matched in the matching step, and taking the supplier as a target supplier.
Optionally, the method further includes:
and when the order feedback information comprises supplier specified information, taking the supplier specified by the supplier specified information as a target supplier, and generating supplier order receiving information so as to enable the target supplier to finish the delivery of the goods.
Optionally, the method further includes:
and generating an order receiving report according to the supplier order receiving information and a preset report index so as to record the delivery information of the goods indicated by the goods shortage information.
In a second aspect of the disclosed embodiments, there is provided a cargo distribution apparatus comprising:
the goods analysis module is configured to analyze the received goods shortage information to obtain the demand state and the matching index of the goods indicated by the goods shortage information;
a status confirmation module configured to confirm whether a demand status of the goods indicated by the goods shortage information is an emergency status;
and the matching module is configured to match a target supplier for the goods in the emergency state from the supplier capability portrait resource library according to the matching index when the goods in the emergency state is in the emergency state, and generate supplier order receiving information so that the target supplier completes the distribution of the goods in the emergency state according to the supplier order receiving information.
In a third aspect of the disclosed embodiments, a storage medium is provided, on which a computer program is stored, which, when executed by one or more processors, implements the above-described cargo distribution method.
In a fourth aspect of the embodiments of the present disclosure, an electronic device is provided, which includes a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, implements the cargo distribution method described above.
By adopting the technical scheme, the following technical effects can be at least achieved:
the method comprises the steps of analyzing received cargo shortage information to obtain a demand state and a matching index of the cargo indicated by the cargo shortage information; confirming whether the demand state of the goods indicated by the goods shortage information is an emergency state; and when the demand state of the goods indicated by the goods shortage information is an emergency state, matching the goods in the emergency state with a target supplier from a supplier capability portrait resource library according to the matching index, and generating supplier order receiving information so that the target supplier completes the distribution of the goods in the emergency state according to the supplier order receiving information. Through the arrangement, the problem that goods in an emergency demand state cannot be delivered in time is solved, the workload of purchasing businessmen is effectively reduced, and the delivery timeliness of the goods is improved.
Drawings
The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a cargo distribution method according to the present disclosure.
Fig. 2 is another schematic flow chart of a cargo distribution method according to the present disclosure.
Fig. 3 is a block diagram of a cargo distribution apparatus provided by the present disclosure.
In the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.
Detailed Description
Embodiments of the present disclosure will be described in detail with reference to the accompanying drawings and examples, so that how to apply technical means to solve technical problems and achieve the corresponding technical effects can be fully understood and implemented. Various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the disclosure. The embodiments and the features of the embodiments of the present disclosure can be combined with each other without conflict, and the formed technical solutions are all within the protection scope of the present disclosure.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Example one
Referring to fig. 1 and fig. 2, an embodiment of the present disclosure provides a cargo distribution method, which mainly includes steps S110 to S130.
In step S110, the received cargo shortage information is analyzed to obtain a demand state and a matching index of the cargo indicated by the cargo shortage information.
Receiving goods shortage information input by a user, sending the goods shortage information to a purchasing plan resource pool, and analyzing goods indicated by the goods shortage information in the purchasing plan resource pool according to preset analysis elements to obtain a demand state and a matching index of the goods. And the system can add marks for different demand states so as to conveniently identify the demand of goods. And according to the analysis element, the matching index of the goods can be extracted, so that the proper supplier can be matched according to the matching index.
The goods shortage information can be but is not limited to a name of a purchased goods, a quantity of the purchased goods, a time limit of arrival, a purchasing manager, a purchasing date and a purchasing order number, and is not specifically limited herein and can be set according to actual requirements.
A resource pool refers to a set of resources that can be used at any time, but are not created and released at any time; and one of the resource pools is allowed to be selected for work when needed, and the selected work is put back after the use. The resource pool avoids frequent process of creating and destroying system resources, and the application and destruction of the system resources are generally time-consuming. This "space" time-out approach can improve the performance of program concurrency.
The supplier order receiving information may include a company code, a company name, an order number, a supplier abbreviation, an order time, an order department, a sponsor, a purchased goods name, a purchased goods quantity, a purchased goods unit price, a purchase amount, an order status, and the like.
The analysis elements refer to six elements of 'human, machine, material, method, ring and measurement', wherein 'human' refers to the conditions of credit and carrying capacity of a supplier, the 'machine' refers to the conditions of vehicle scheduling and carrying capacity of a purchasing enterprise, the 'material' refers to whether purchased goods are goods in urgent need, the 'method' refers to whether the distance of goods delivered by the supplier is optimal, the transportation cost of delivered goods and the like, the 'ring' refers to whether goods needing to be delivered are influenced by environments such as weather and traffic, and the 'measurement' refers to the evaluation of goods quality, timeliness and the like by detecting data of the goods.
The demand state may be, but is not limited to, an emergency state or a non-emergency state, and is not specifically limited herein, and may be set according to an actual demand.
The matching index may be, but is not limited to, a supplier reputation index, a supplier carrying capacity index, a vehicle scheduling and loading condition, a transportation cost index, an optimal or not optimal transportation path index, a policy index, a weather index, a cargo quality index, and a cargo distribution timeliness index, and is not specifically limited herein, and may be set according to an actual demand.
For example, a buyer issues A, B and C pieces of cargo shortage information to the purchasing planning resource pool by filling in a form, and at this time, the information can be directly stored without applying for an internal memory to store the three pieces of cargo shortage information again, and when the three pieces of cargo shortage information are analyzed and processed by using six elements of human, machine, material, law, ring and measurement, the three pieces of cargo shortage information can be processed in parallel. Assuming that the goods indicated by the goods shortage information is selected a to be delivered urgently when the buyer fills out the form, the system will add a field similar to "demand state" to the demand state to identify the demand state, and will set the value of this field to "1" to represent the urgent state. The non-emergency state is represented when the demand state of the cargo indicated by the two pieces of cargo shortage information B and C is to be set to "demandState" whose value is "0". And the matching indexes of the goods indicated by the three pieces of goods shortage information are extracted according to the analysis principle of six elements of human, machine, material, method, ring and measurement. For example, the supplier reputation index in the matching index of the good indicated by the piece of goods shortage information of a needs to reach "excellent".
Therefore, by setting the purchasing plan resource pool to store and process the cargo shortage information, the cargo shortage information can be processed concurrently, and the working efficiency of the storage and analysis process is greatly improved. And the cargo shortage information is processed through the preset analysis elements, the demand state of the cargo and the matching index of the cargo are clearly extracted, and the subsequent use is facilitated.
In step S120, it is confirmed whether the demand state of the goods indicated by the goods shortage information is an emergency state.
And after the demand state of the goods indicated by the obtained goods shortage information is obtained, whether the demand state of the goods is an emergency state or not is confirmed. When the goods are not in the emergency state, the system adds a supplier self order-receiving identifier for the goods which are not in the emergency state, and for the goods which have the supplier self order-receiving identifier in the purchasing plan resource pool, the supplier can be allowed to select to deliver the goods according to the self condition. When the emergency state is detected, step S130 is executed.
It should be noted that the supplier self-order-receiving identifier may also be null, that is, the supplier self-order-receiving identifier is not added, so that at this time, an identifier needs to be added to the goods handling the emergency state to distinguish from the goods whose demand state is not the emergency state. However, for insurance purposes, the addition of an identification to goods that are not in an emergency situation may effectively prevent non-emergency goods from being disposed of before emergency goods due to certain unpredictable factors, while the addition of the supplier's own pick-up identification may allow the system to expand laterally to add demand conditions in addition to emergency and non-emergency conditions.
For example, when detecting that there is a cargo in the procurement plan resource pool whose demand status is in an emergency, the cargo in the emergency is preferentially delivered. And other goods which are not in an emergency state inform all suppliers of goods which need to be supplied, and the suppliers can select whether to accept the order or not according to the requirements of the goods and the conditions of the suppliers.
Therefore, the goods with the demand state of emergency filling are preferentially processed, and the goods with the demand state of non-emergency state allow the supplier to receive orders independently, so that the supply chain has bidirectional property, and the goods with the emergency demand are distributed in time.
In step S130, in the emergency state, the target supplier is matched for the goods in the emergency state from the supplier capability image repository according to the matching index, and supplier order receiving information is generated, so that the target supplier completes distribution of the goods in the emergency state according to the supplier order receiving information.
Before matching goods with suppliers, statistical data of preset evaluation indexes of the suppliers are acquired, and the statistical data are processed through a preset evaluation method to establish a supplier capability portrait resource library. When the demand state of the goods is an emergency state, according to the matching index of the goods in the emergency state obtained by processing in step S110, the target supplier meeting the matching index is matched from the supplier capability portrait resource library, and the goods detail information is extracted from the goods shortage information corresponding to the goods in the emergency state. And combining the target supplier and the goods detail information to generate order confirmation information. Feeding back order confirmation information to a buyer for confirmation to confirm whether to place an order; and receiving order feedback information input by the buyer aiming at the order confirmation information.
The preset evaluation index can be but is not limited to the timeliness of arrival, the damage rate of the goods, the quality of the goods and the like, and is not specifically limited herein and can be set according to actual requirements.
The statistical data may include arrival time data, good damage rate data, supplier reputation value data, supplier delivery distance data, supplier quote data, good quality rating data, and the like.
The supplier capability representation resource library may include supplier capability information, wherein the supplier capability information may include a supplier composite rating level, a supplier name, a supplier arrival timeliness rating, a supplier cargo damage rate, and the like.
When the order feedback information indicates that the target provider is the confirmed provider, the buyer agrees to use the provider in the order confirmation information as the target provider, and then the provider order taking information can be directly generated.
When the replacement selection information indicates that the matched supplier needs to be replaced, the buyer refuses to use the supplier in the order confirmation information as the target supplier, at this time, the goods are matched with the supplier again, and the process of re-matching the supplier is as follows:
matching: matching suppliers meeting the matching index from a supplier capability portrait resource library;
an output step: outputting information of the supplier to receive replacement selection information for the supplier;
iteration step: and when the replacement selection information represents that the matched supplier needs to be replaced, returning to execute the matching step until the replacement selection information represents that the supplier does not need to be replaced and matched in the matching step, and taking the supplier as a target supplier.
After the iteration step confirms the target supplier, supplier order taking information will also be generated.
And when the order feedback information comprises supplier specified information, taking the supplier specified by the supplier specified information as a target supplier, and generating supplier order receiving information.
After the supplier order receiving information is generated in the mode, the information is sent to the target supplier, so that the target supplier completes the distribution of the goods according to the goods detail information in the supplier order receiving information.
It should be noted that, in the process of generating the supplier order receiving information to enable the target supplier to complete the delivery of the goods, an order receiving report is further generated according to the supplier order receiving information and according to a preset report index, so as to record the delivery information of the goods indicated by the goods shortage information. And the information in the order receiving report is used as statistical data of preset index evaluation of the supplier so as to periodically update the supplier capability representation resource library. The preset report indexes can be set by a user, and can comprise time indexes required by a supplier to deliver goods, goods damage rate indexes, goods quality indexes, goods price indexes and the like.
For example, assuming that information of a supplier a, a supplier B, and a supplier C is collected, the information of the suppliers a, B, and C is processed according to the timeliness of arrival and the cargo damage rate, and the capability portrait information of the supplier a is obtained as "excellent in comprehensive grade, excellent in arrival timeliness rate, 2% in cargo damage rate", the capability portrait information of the supplier B is "excellent in comprehensive grade, excellent in arrival timeliness rate, 3% in cargo damage rate", and the capability portrait information of the supplier C is "excellent in comprehensive grade, excellent in arrival timeliness rate, 4-grade in cargo damage rate, 1% in cargo damage rate", and is added to the supplier capability resource library. The goods a in the emergency state needs to be delivered, the delivery quantity is 100, the matching index content obtained after analysis processing comprises 'the goods damage rate is less than or equal to 2%', and according to the matching index and the supplier capability portrait information, the supplier matched for the goods a from the supplier capability portrait resource library is the supplier B. Order confirmation information is generated at this time, and includes information indicating that the target supplier is supplier B and "100 pieces are required for goods a" or the like. The order confirmation message is sent to the buyer for confirmation, and the buyer can sign to confirm the delivery of the goods by using the supplier B or refuse to use the supplier B, and the system can match the supplier C again according to the selection of the buyer. Assuming that the supplier C is not a satisfactory supplier for the buyer, and the buyer directly specifies the supplier by inputting the information of the supplier a, the supplier a will be the target supplier, and after generating the supplier order receiving information, the supplier order receiving information is sent to the supplier a to inform the supplier a of the delivery of the goods. In the distribution process, various information is collected and counted, for example, the damage rate detected when the goods arrive is 1%, and an order receiving report form is generated according to indexes which need to be seen by a buyer. And updating the information of the supplier A in the supplier capability portrait resource library according to the information in the order receiving report, and updating the cargo damage rate to 1%. Thus, the provider can be urged to provide better services by updating the provider capability profile repository.
By applying the cargo distribution method disclosed by the invention, the demand state and the matching index of the cargo indicated by the cargo shortage information are obtained by analyzing the received cargo shortage information; confirming whether the demand state of the goods indicated by the goods shortage information is an emergency state; and when the demand state of the goods indicated by the goods shortage information is an emergency state, matching the goods in the emergency state with a target supplier from a supplier capability portrait resource library according to the matching index, and generating supplier order receiving information so that the target supplier completes the distribution of the goods in the emergency state according to the supplier order receiving information. Through the arrangement, the problem that goods in an emergency demand state cannot be delivered in time is solved, the workload of purchasing businessmen is effectively reduced, and the delivery timeliness of the goods is improved.
Example two
Referring to fig. 3 in combination, the present disclosure provides a cargo distribution apparatus, including: a cargo analysis module 10, a status confirmation module 20, and a matching module 30.
The cargo analysis module 10 is configured to analyze the received cargo shortage information to obtain a demand state and a matching index of the cargo indicated by the cargo shortage information.
In this embodiment, the cargo analysis module 10 may perform step S110, and the cargo analysis module 10 has the same or corresponding technical features as that of step S110, so that the detailed description of the cargo analysis module 10 may refer to the detailed description of step S110, which is not repeated herein.
The status confirmation module 20 is configured to confirm whether the demand status of the goods indicated by the goods shortage information is an emergency status.
In this embodiment, the cargo state confirmation module 20 may perform step S120, and the state confirmation module 20 has the same or corresponding technical features as that of step S120, so that the detailed description of the state confirmation module 20 may refer to the detailed description of step S120, which is not repeated herein.
The matching module 30 is configured to match a target supplier for goods in an emergency state from the supplier capability representation resource library according to the matching index when the goods in the emergency state is in the emergency state, and generate supplier order receiving information, so that the target supplier completes distribution of the goods in the emergency state according to the supplier order receiving information.
In this embodiment, the matching module 30 may perform the step S130, and the matching module 30 has the same or corresponding technical features as the step S130, so that the detailed description of the matching module 30 may refer to the detailed description of the step S130, which is not repeated herein.
EXAMPLE III
The present embodiments also provide a computer readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., having stored thereon a computer program that when executed by a processor, performs the method steps of:
analyzing the received cargo shortage information to obtain a demand state and a matching index of the cargo indicated by the cargo shortage information;
confirming whether the demand state of the goods indicated by the goods shortage information is an emergency state;
and when the goods are in the emergency state, matching the target supplier for the goods in the emergency state from the supplier capability portrait resource library according to the matching index, and generating supplier order receiving information so that the target supplier completes the distribution of the goods in the emergency state according to the supplier order receiving information.
The specific embodiment process of the above method steps can be referred to as embodiment one, and the detailed description of this embodiment is not repeated herein.
Example four
The present embodiment provides an electronic device, which includes a memory, a processor, and a program code stored in the memory and executable on the processor, wherein when the program code is executed by the processor, the steps of the cargo distribution method according to any one of the above-mentioned optional embodiments are implemented.
The method implemented when the computer program of the cargo distribution method executed on the processor is executed may refer to the specific embodiment of the cargo distribution method disclosed herein, and details are not described herein again.
The processor may be an integrated circuit chip having information processing capabilities. The processor may be a general-purpose processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like.
It should be understood that the disclosed methods and apparatus may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Although the embodiments disclosed in the present disclosure are described above, the descriptions are only for the convenience of understanding the present disclosure, and are not intended to limit the present disclosure. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure, and that the scope of the disclosure is to be limited only by the appended claims.
Claims (10)
1. A method of cargo distribution, said method comprising:
analyzing the received cargo shortage information to obtain a demand state and a matching index of the cargo indicated by the cargo shortage information;
confirming whether the demand state of the goods indicated by the goods shortage information is an emergency state;
and when the goods are in the emergency state, matching the target supplier for the goods in the emergency state from the supplier capability portrait resource library according to the matching index, and generating supplier order receiving information so that the target supplier completes the distribution of the goods in the emergency state according to the supplier order receiving information.
2. A method of cargo distribution according to claim 1, said method further comprising:
when the goods are not in the emergency state, a supplier self order-accepting mark is added to the goods which are not in the emergency state, so that the supplier is allowed to select whether to distribute the goods with the supplier self order-accepting mark.
3. The cargo distribution method of claim 1, wherein prior to the step of matching a target supplier for the cargo in emergency from a supplier capability representation repository based on the matching indicator, the method further comprises:
the method comprises the steps of obtaining statistical data of preset evaluation indexes of a supplier, and processing the statistical data through a preset evaluation method to establish a supplier capability portrait resource library.
4. The cargo distribution method according to claim 1, wherein in an emergency state, matching a target supplier for the cargo in the emergency state from a supplier capability image repository according to the matching index, and generating supplier order receiving information, comprises:
when the goods are in an emergency state, matching a target supplier meeting the matching index from a supplier capability portrait resource library, and generating order confirmation information by combining goods shortage information corresponding to the goods in the emergency state;
and receiving order feedback information aiming at the order confirmation information, and generating supplier order taking information when the order feedback information indicates that the target supplier is the confirmed supplier so as to enable the target supplier to finish the delivery of the goods.
5. The cargo distribution method of claim 4, wherein matching a target supplier meeting the matching criteria from a supplier capability representation repository comprises:
matching: matching suppliers meeting the matching index from a supplier capability portrait resource library;
an output step: outputting information of the supplier to receive replacement selection information for the supplier;
iteration step: and when the replacement selection information represents that the matched supplier needs to be replaced, returning to execute the matching step until the replacement selection information represents that the supplier does not need to be replaced and matched in the matching step, and taking the supplier as a target supplier.
6. The cargo distribution method of claim 4, further comprising:
and when the order feedback information comprises supplier specified information, taking the supplier specified by the supplier specified information as a target supplier, and generating supplier order receiving information so as to enable the target supplier to finish the delivery of the goods.
7. A method of cargo distribution according to claim 1, said method further comprising:
and generating an order receiving report according to the supplier order receiving information and a preset report index so as to record the delivery information of the goods indicated by the goods shortage information.
8. A cargo distribution apparatus, comprising:
the goods analysis module is configured to analyze the received goods shortage information to obtain the demand state and the matching index of the goods indicated by the goods shortage information;
a status confirmation module configured to confirm whether a demand status of the goods indicated by the goods shortage information is an emergency status;
and the matching module is configured to match a target supplier for the goods in the emergency state from the supplier capability portrait resource library according to the matching index when the goods in the emergency state is in the emergency state, and generate supplier order receiving information so that the target supplier completes the distribution of the goods in the emergency state according to the supplier order receiving information.
9. A storage medium having stored thereon a computer program, wherein the computer program, when executed by one or more processors, implements a method of cargo distribution according to any of claims 1 to 7.
10. An electronic device, comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, implements a cargo distribution method as claimed in any one of claims 1 to 7.
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| CN112508644A (en) * | 2020-12-02 | 2021-03-16 | 贵州航天云网科技有限公司 | Linkage supply intelligent cooperative scheduling system based on cloud platform |
| CN112884599A (en) * | 2021-03-22 | 2021-06-01 | 树根互联股份有限公司 | Custom furniture factory matching method and device and computer equipment |
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| CN113222515A (en) * | 2021-05-27 | 2021-08-06 | 咪咕文化科技有限公司 | Waybill distribution method and device, electronic equipment and storage medium |
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| CN113256394A (en) * | 2021-06-22 | 2021-08-13 | 北京航空航天大学 | Supply chain resource management system based on intelligent contract |
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| CN115345554A (en) * | 2022-08-15 | 2022-11-15 | 上海东普信息科技有限公司 | Storage model based transceiving control method, device, equipment and storage medium |
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| CN115526688A (en) * | 2022-10-10 | 2022-12-27 | 深圳赛盒科技有限公司 | Order management method and system for cloud electronic commerce |
| CN116362641A (en) * | 2023-03-20 | 2023-06-30 | 无锡哈米信息科技有限公司 | Logistics distribution system based on big data |
| CN116796908A (en) * | 2023-07-18 | 2023-09-22 | 深圳市蓝鹰立德科技有限公司 | Digital employee automatic business process processing system based on artificial intelligent cloud platform |
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