CN117273296B - Wisdom supply chain platform - Google Patents
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Abstract
The invention discloses an intelligent supply chain platform, which comprises a sales end, a production end, a supplier, a supply commodity classifying unit, a supply commodity counting unit, a supply predicting unit, an intelligent supply chain terminal, a supply order generating module, a supply recording unit, a logistics position positioning unit, an intelligent supply adjusting unit and a supply road condition identifying terminal, and has the beneficial effects that: the intelligent supply adjustment unit is added to acquire the vehicle routes participating in transportation in the supply chain, match the vehicles according to the transportation destinations of the supplied goods and carry out logistics matching on the places passed in the vehicle routes.
Description
Technical Field
The invention relates to the technical field of intelligent supply chains, in particular to an intelligent supply chain platform.
Background
The intelligent supply chain is a theory, a method and a technology combining the technology of the Internet of things and the management of modern supply chains, is constructed in enterprises and among enterprises, realizes the intelligent, networked and automatic technology and management integrated system of the supply chain, develops the traditional supply chain, has increasingly enhanced technology permeability, and many supply chains have tended to have advanced technical characteristics of informatization, digitalization, networking, integration, intellectualization, flexibility, agility, visualization, automation and the like. On the basis, the intelligent supply chain integrates technology and management comprehensively, systematically discusses comprehensive integrated theory, method and technology of technology and management, and thus the intelligent supply chain is a practice of guiding modern supply chain management and operation. Compared with the traditional supply chain, the intelligent supply chain has the following characteristics: 1. the intelligent supply chain is more permeable to technology than the traditional supply chain. In the context of intelligent supply chains, supply chain management and operators will systematically and actively absorb various modern technologies including internet of things, internet, artificial intelligence, etc., and actively adapt the management process to changes brought by the introduction of new technologies. 2. The intelligent supply chain is more visually and mobilizing than conventional supply chains. The intelligent supply chain is more inclined to use visual means to represent data, with mobilization means to access the data. 3. The intelligent supply chain is more human-friendly than the conventional supply chain. The intelligent supply chain is more systematic in consideration of the technologies such as the Internet of things, the Internet and the artificial intelligence, and the coordination of a man-machine system is considered, so that humanized technology and management system are realized, but the monitoring stability of supply storage in the existing intelligent supply chain is poor, the requirement on the expected quantity of supplied commodities is not limited rapidly, the condition of insufficient supply of commodities in the supply chain is easy to exist, the arrangement of the supply vehicles in the intelligent supply chain is not perfect, and the distribution of the supplied vehicle cargoes is not intelligent enough.
Disclosure of Invention
The present invention is directed to an intelligent supply chain platform for solving the above-mentioned problems.
In order to achieve the above purpose, the present invention provides the following technical solutions: the intelligent supply chain platform comprises a sales end, a production end, a supplier, a supply commodity classifying unit, a supply commodity counting unit, a supply predicting unit, an intelligent supply chain terminal, a supply order generating module, a supply recording unit, a logistics position positioning unit, an intelligent supply adjusting unit and a supply road condition identifying terminal, wherein the sales end, the production end and the supplier are all in bidirectional connection with the supply commodity classifying unit, the output end of the supply commodity classifying unit is in communication connection with the input end of the supply commodity counting unit, the output end of the supply commodity counting unit is in communication connection with the input end of the supply predicting unit, the supply commodity counting unit is in bidirectional connection with the intelligent supply chain terminal, the intelligent supply chain terminal is in bidirectional connection with the supply order generating module, the output end of the supply order generating module is in communication connection with the input end of the supply recording unit, the output end of the supply recording unit is in communication connection with the input end of the logistics position positioning unit, the output end of the logistics position positioning unit is in communication connection with the input end of the intelligent supply adjusting unit, and the intelligent supply road condition identifying terminal is in bidirectional connection.
The selling end is used for selling the supplied commodities;
the production end is used for recording and processing the production party for supplying goods;
The suppliers are used for performing intelligent supply processing on commodities required for sales;
the supplied commodity classifying unit is used for distinguishing the supplied commodities according to commodity types;
the supplied commodity counting unit is used for carrying out counting observation processing on the quantity and the types of supplied commodities;
The supply prediction unit is used for estimating the quantity of supplied commodities according to the past period statistics;
the intelligent supply chain terminal is used for carrying out remote intelligent supply processing on commodities;
The supply order generation module is used for generating the received order of the required supply;
the supply recording unit is used for recording the information of the other party required by supply;
the logistics position positioning unit is used for positioning the transportation position of the supplied logistics in real time;
The intelligent supply adjusting unit is used for adjusting the transportation route and commodity loading condition of the vehicle to which the supply commodity belongs and delivering the supply commodity when the supply commodity reaches the destination;
the supply road condition identification terminal is used for updating the road condition in real time during transportation and carrying out real-time change processing according to the current road condition.
Preferably, the sales end, the production end and the supply end are all connected with a contract management end in a bidirectional manner, and the contract management end is used for signing contracts among the sales end, the production end and the supply end and storing signed contract information in a cloud.
Preferably, the commodity supply counting unit comprises a commodity supply quantity recording module, a commodity supply period counting module and a commodity supply counting image module, wherein the output end of the commodity supply quantity recording module is in communication connection with the input end of the commodity supply period counting module, and the output end of the commodity supply period counting module is in communication connection with the input end of the commodity supply counting image module;
the commodity quantity recording module is used for recording the quantity of commodities supplied in the supply chain in the past period;
The supplied commodity period statistics module is used for setting a statistics period to carry out statistics processing on the supplied quantity of the supplied commodity;
and the supplied commodity statistical image module is used for comparing and carrying out statistical treatment on a supply chain of supplied commodities according to a statistical chart.
Preferably, the supply prediction unit comprises a commodity supply quantity estimation module and a commodity replenishment prompting module, wherein the output end of the commodity supply quantity estimation module is in communication connection with the input end of the commodity replenishment prompting module;
the commodity supply quantity estimation module is used for carrying out later commodity supply estimation processing according to the counted quantity of supplied commodities;
the commodity replenishment prompting module is used for prompting the commodity replenishment condition according to the quantity of the existing supplied commodities in the warehouse.
Preferably, the supply prediction unit is connected with a fund risk management terminal in a bidirectional way, and the supply prediction unit is connected with a replenishment end docking module in a bidirectional way;
The fund risk management terminal is used for comparing the amount required by the expected commodity supply with the funds left by the supply chain, and carrying out risk prompt processing when the funds are insufficient;
the commodity replenishment end docking module is used for docking the commodity replenishment end when the commodity is required to be supplied.
Preferably, the intelligent supply chain terminal is bidirectionally connected with a multi-stage warehouse terminal, the supply order generating module is bidirectionally connected with a bill recording terminal, the multi-stage warehouse terminal is used for carrying out the warehouse classification processing on the provincial level, the municipal level and the county level of the supply chain warehouse, and the bill recording terminal is used for carrying out the recording processing on bill information generated by the supply order.
Preferably, the supply recording unit comprises a supply address recording module and a receiver recording module, and the supply address recording module is in bidirectional connection with the receiver recording module;
The supply address recording module is used for recording information of the receiving address of the supplied commodity;
The receiver recording module is used for recording and processing personnel information of the received and supplied commodity.
Preferably, the logistics position positioning unit comprises a logistics positioning module and a supply logistics real-time changing module, and the logistics positioning module is in bidirectional connection with the supply logistics real-time changing module;
the logistics positioning module is used for positioning the position of the supply chain logistics vehicle in real time;
The supply logistics real-time change module is used for carrying out real-time change notification on the transportation route of the supply chain logistics vehicle.
Preferably, the intelligent supply adjustment unit comprises a logistics vehicle recording module, a logistics vehicle route identification module and a logistics vehicle distribution module, wherein the output end of the logistics vehicle recording module is in communication connection with the input end of the logistics vehicle route identification module, and the output end of the logistics vehicle route identification module is in communication connection with the input end of the logistics vehicle distribution module;
the logistics vehicle recording module is used for recording logistics vehicle information of a supply chain;
the logistics vehicle route identification module is used for carrying out route identification processing on a transportation route of the logistics vehicle;
The logistics vehicle distribution module is used for distributing transportation commodities to logistics vehicles according to the requirements of supplied commodities and the positions where the commodities need to arrive, carrying out cargo loading and driving route distribution processing on the vehicles participating in transportation, and transporting to a destination for supply delivery.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Compared with the prior art, the invention has the beneficial effects that: the intelligent supply adjustment unit is added to acquire the vehicle routes participating in transportation in the supply chain, match vehicles according to the transportation destinations of the supplied goods, carry out logistics matching on places passing through in the vehicle routes, maximize benefits of vehicle transportation, save expenses, and carry out grading on the positions of supply chain warehouses by adding the multi-stage warehouse terminals.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
FIG. 1 is a block diagram of a system of the present invention;
FIG. 2 is a block diagram of a system for providing commodity statistics according to the present invention;
FIG. 3 is a block diagram of a logistics position locating unit system in accordance with the present invention;
FIG. 4 is a block diagram of a system of intelligent supply adjusting units according to the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus consistent with some aspects of the disclosure as detailed in the accompanying claims.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1 to 4, an intelligent supply chain platform according to an embodiment of the present invention includes a sales end, a production end, a supplier, a supply commodity classification unit, a supply commodity statistics unit, a supply prediction unit, an intelligent supply chain terminal, a supply order generation module, a supply recording unit, a logistics position positioning unit, an intelligent supply adjustment unit, and a supply road condition identification terminal, wherein the sales end, the production end, and the supplier are all connected with the supply commodity classification unit in a bidirectional manner, an output end of the supply commodity classification unit is connected with an input end of the supply commodity statistics unit in a communication manner, an output end of the supply commodity statistics unit is connected with an input end of the supply prediction unit in a communication manner, the supply commodity statistics unit is connected with the intelligent supply chain terminal in a bidirectional manner, the intelligent supply chain terminal is connected with the supply order generation module in a bidirectional manner, an output end of the supply order generation module is connected with an input end of the supply recording unit in a communication manner, an output end of the supply recording unit is connected with an input end of the logistics position positioning unit in a communication manner, and an output end of the intelligent supply adjustment unit is connected with an input end of the intelligent supply road condition identification terminal in a bidirectional manner.
The selling end is used for selling the supplied commodities;
The production end is used for recording and processing the production party for supplying the commodity;
the suppliers are used for performing intelligent supply processing on commodities required for sales;
The supplied commodity classifying unit is used for distinguishing the supplied commodities according to commodity types;
The supply commodity counting unit is used for counting and observing the quantity and the types of the supply commodities, and the quantity of the supply commodities is counted according to a period by adding the supply commodity counting unit, so that the expected supply quantity of the commodities in a supply chain is estimated according to the period supply quantity, quick replenishment is carried out, the phenomenon that the work of the supply chain is stopped due to insufficient storage cargoes is prevented, the existing supply commodities are counted and stored, the quantity of the supplied commodities is recorded, the quantity of the supplied commodities in the period is counted by setting a recording period at the same time, a statistical graph is made according to the quantity of the supplied commodities, and observation and comparison are carried out according to the statistical graph;
the supply prediction unit is used for estimating the quantity of supplied commodities according to the past statistics, predicting the supply of the supplied commodities to be needed, estimating the supply quantity of the commodities, and carrying out replenishment prompt processing according to the goods storage condition of the warehouse;
The intelligent supply chain terminal is used for carrying out remote intelligent supply processing on commodities;
the supply order generation module is used for generating the received order of the required supply;
the supply recording unit is used for recording the information of the other party required by supply, collecting and recording the supply address according to the supply chain order, and recording the information of the receiver of the supplied commodity;
The logistics position positioning unit is used for positioning the transportation position of the supplied logistics in real time;
the intelligent supply adjusting unit is used for adjusting the transportation route and commodity loading condition of the vehicles to which the supply commodity belongs, delivering the supply commodity when the supply commodity reaches the destination, acquiring the transportation route of the vehicles in the supply chain, matching the vehicles according to the transportation destination of the supply commodity, carrying out logistics matching on the passing places in the vehicle route, maximizing the benefit of the transportation of the vehicles, saving the expense, recording the information of the commodity logistics vehicles, matching the vehicle types according to the transportation requirement of the supply commodity, carrying out route identification on the logistics vehicle routes which need to participate in the transportation, carrying out the supply commodity matching processing on the route positions, saving the distance of the transportation route of the traveling vehicles, and carrying out the supply matching processing on the positions of the arrival of the commodity logistics vehicles;
The supply road condition identification terminal is used for updating the road condition during transportation in real time, carrying out real-time change processing according to the current road condition, carrying out road monitoring processing on the road of vehicle transportation in real time, and carrying out real-time change processing on the road of the traffic jam, maintenance and construction conditions in the transportation road.
Example 2:
the system comprises a sales end, a production end and a supply end, wherein the sales end, the production end and the supply end are all connected with a contract management end in a bidirectional mode, and the contract management end is used for signing contracts among the sales end, the production end and the supply end and storing signed contract information in a cloud end.
The system comprises a supply commodity counting unit, a commodity counting unit and a control unit, wherein the supply commodity counting unit comprises a supply commodity number recording module, a supply commodity period counting module and a supply commodity counting image module, the output end of the supply commodity number recording module is in communication connection with the input end of the supply commodity period counting module, the output end of the supply commodity period counting module is in communication connection with the input end of the supply commodity counting image module, the existing supply commodity is counted and stored, the number of supplied commodities is recorded, the number of supplied commodities in the period is counted in the setting recording period, a counting diagram is made according to the number of supplied commodities, and observation and comparison are carried out according to the counting diagram;
The supply commodity quantity recording module is used for recording the quantity of commodities supplied in the supply chain in the past period;
The supplied commodity period statistics module is used for setting a statistics period to carry out statistics processing on the supplied quantity of the supplied commodity;
The supply commodity statistical image module is used for comparing and counting the supply chain of the supply commodities according to a statistical chart, and the statistical processing of the quantity of the supply commodities according to a period is realized by adding the supply commodity statistical unit, so that the expected supply quantity of the commodities in the supply chain is estimated according to the period supply quantity, the quick replenishment processing is performed, and the work stop of the supply chain caused by insufficient warehouse cargos is prevented.
The supply prediction unit comprises a commodity supply quantity estimation module and a commodity replenishment prompting module, wherein the output end of the commodity supply quantity estimation module is in communication connection with the input end of the commodity replenishment prompting module;
the commodity supply quantity estimation module is used for carrying out later commodity supply estimation processing according to the counted quantity of supplied commodities;
The commodity replenishment prompting module is used for prompting the commodity replenishment condition according to the quantity of the existing supplied commodities in the warehouse, predicting the supply of the supplied commodities to be required, estimating the supply quantity of the commodities, and prompting the replenishment according to the commodity storage condition of the warehouse.
The supply prediction unit is connected with a fund risk management terminal in a bidirectional way, and is connected with a replenishment end docking module in a bidirectional way;
the fund risk management terminal is used for comparing the amount required by the expected commodity supply with the funds left by the supply chain, carrying out risk prompt processing when encountering insufficient funds, comparing all the funds with the amount of the commodity required to be supplied, and carrying out management prompt processing on the fund risk;
the goods supplementing end docking module is used for docking with the goods supplementing end when goods are needed to be supplied, and for docking matching of the goods supplementing section when the goods are insufficient.
The intelligent supply chain terminal is bidirectionally connected with a multi-stage warehouse terminal, the supply order generation module is bidirectionally connected with a bill recording terminal, the multi-stage warehouse terminal is used for carrying out warehouse classification and classification processing on province level, city level and county level on supply chain warehouse, the bill recording terminal is used for carrying out recording processing on bill information generated by supply orders, and the multi-stage warehouse terminal is added to realize the grading of the position of the supply chain warehouse and the grading classification processing on the stored goods quantity.
The supply recording unit comprises a supply address recording module and a receiver recording module, and the supply address recording module is in bidirectional connection with the receiver recording module;
The supply address recording module is used for recording information of the receiving address of the supplied commodity;
the receiver recording module is used for recording the personnel information of the supplied goods, collecting and recording the supply address according to the supply chain order, and recording the receiver information of the supplied goods.
The logistics position positioning unit comprises a logistics positioning module and a supply logistics real-time changing module, and the logistics positioning module is in bidirectional connection with the supply logistics real-time changing module;
the logistics positioning module is used for performing real-time positioning treatment on the position of the supply chain logistics vehicle;
The supply logistics real-time change module is used for carrying out real-time change notification on the transportation route of the supply chain logistics vehicle.
The intelligent supply adjustment unit comprises a logistics vehicle recording module, a logistics vehicle route identification module and a logistics vehicle distribution module, wherein the output end of the logistics vehicle recording module is in communication connection with the input end of the logistics vehicle route identification module, the output end of the logistics vehicle route identification module is in communication connection with the input end of the logistics vehicle distribution module, information of goods logistics vehicles is recorded, the types of the vehicles are matched according to the transportation requirements of supplied goods, route identification is carried out on each logistics vehicle route needing to participate in transportation, the matching treatment of supplied goods is carried out on the route positions, the distance of the transportation route needing to go out vehicles is saved, and the supply matching treatment is carried out on the positions where the logistics vehicles arrive;
the logistics vehicle recording module is used for recording logistics vehicle information of the supply chain;
the logistics vehicle route identification module is used for carrying out route identification processing on the transportation route of the logistics vehicle;
The logistics vehicle distribution module is used for distributing transportation commodities to logistics vehicles according to the requirements of supplied commodities and the positions where the commodities need to arrive, carrying out cargo loading and driving route distribution processing to the vehicles participating in transportation, and transporting to a destination for supply delivery.
Example 3:
S1, carrying out matching treatment on a selling end, a production end and a supply end, carrying out contract signing on the selling end, the production end and the supply end, carrying out cloud storage treatment on the combination, carrying out classification treatment on commodity types required by supply, carrying out statistics storage on the existing supplied commodities, recording the number of the supplied commodities, simultaneously setting a recording period to carry out statistics on the number of the supplied commodities in the period, carrying out statistics graph production according to the number of the supplied commodities, and carrying out observation and comparison according to the statistics graph;
S2, the supply of the to-be-needed supply commodity is predicted, the supply quantity of the commodity is estimated, replenishment prompt processing is carried out according to the storage condition of the commodity in the warehouse, replenishment section matching and butt joint processing is carried out when the commodity is insufficient, all funds are compared with the amount of the to-be-supplied commodity, and management prompt processing is carried out on the fund risks;
S3, generating a supply chain order, recording accounts generated by the order, collecting and recording a supply address according to the supply chain order, recording receiver information of the supplied commodity, positioning the position of a logistics vehicle of the supplied commodity, and carrying out real-time change prompt processing according to a route of the supplied commodity;
S4, recording information of cargo logistics vehicles, matching vehicle types according to transportation requirements of supplied commodities, carrying out route identification on logistics vehicle routes needing to participate in transportation, carrying out supply commodity matching processing on path positions, saving distance between transportation routes needing to travel vehicles, carrying out supply matching processing on positions where the logistics vehicles arrive, carrying out road monitoring processing on routes transported by the vehicles in real time, and carrying out route real-time changing processing on conditions of congestion, maintenance and construction in transportation roads.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope of the disclosure being indicated by the following claims.
Claims (9)
1. The intelligent supply chain platform is characterized by comprising a sales end, a production end, a supplier, a supply commodity classifying unit, a supply commodity counting unit, a supply prediction unit, an intelligent supply chain terminal, a supply order generating module, a supply recording unit, a logistics position positioning unit, an intelligent supply adjusting unit and a supply road condition identifying terminal, wherein the sales end, the production end and the supplier are all in bidirectional connection with the supply commodity classifying unit, the output end of the supply commodity classifying unit is in communication connection with the input end of the supply commodity counting unit, the output end of the supply commodity counting unit is in communication connection with the input end of the supply prediction unit, the supply commodity counting unit is in bidirectional connection with the intelligent supply chain terminal, the intelligent supply chain terminal is in bidirectional connection with the supply order generating module, the output end of the supply order generating module is in communication connection with the input end of the supply recording unit, the output end of the logistics position positioning unit is in communication connection with the input end of the intelligent supply adjusting unit, and the intelligent supply road condition identifying terminal.
The selling end is used for selling the supplied commodities;
the production end is used for recording and processing the production party for supplying goods;
The suppliers are used for performing intelligent supply processing on commodities required for sales;
the supplied commodity classifying unit is used for distinguishing the supplied commodities according to commodity types;
the supplied commodity counting unit is used for carrying out counting observation processing on the quantity and the types of supplied commodities;
The supply prediction unit is used for estimating the quantity of supplied commodities according to the past period statistics;
the intelligent supply chain terminal is used for carrying out remote intelligent supply processing on commodities;
The supply order generation module is used for generating the received order of the required supply;
the supply recording unit is used for recording the information of the other party required by supply;
the logistics position positioning unit is used for positioning the transportation position of the supplied logistics in real time;
The intelligent supply adjusting unit is used for adjusting the transportation route and commodity loading condition of the vehicle to which the supply commodity belongs and delivering the supply commodity when the supply commodity reaches the destination;
the supply road condition identification terminal is used for updating the road condition in real time during transportation and carrying out real-time change processing according to the current road condition.
2. The intelligent supply chain platform according to claim 1, wherein the sales end, the production end and the supply end are all connected with a contract management end in two directions, and the contract management end is used for signing contracts among the sales end, the production end and the supply end and storing signed contract information in a cloud end.
3. The intelligent supply chain platform according to claim 2, wherein the supply commodity counting unit comprises a supply commodity number recording module, a supply commodity period counting module and a supply commodity counting image module, the output end of the supply commodity number recording module is in communication connection with the input end of the supply commodity period counting module, and the output end of the supply commodity period counting module is in communication connection with the input end of the supply commodity counting image module;
the commodity quantity recording module is used for recording the quantity of commodities supplied in the supply chain in the past period;
The supplied commodity period statistics module is used for setting a statistics period to carry out statistics processing on the supplied quantity of the supplied commodity;
and the supplied commodity statistical image module is used for comparing and carrying out statistical treatment on a supply chain of supplied commodities according to a statistical chart.
4. The intelligent supply chain platform according to claim 3, wherein the supply prediction unit comprises a commodity supply quantity estimation module and a commodity replenishment prompting module, and an output end of the commodity supply quantity estimation module is in communication connection with an input end of the commodity replenishment prompting module;
the commodity supply quantity estimation module is used for carrying out later commodity supply estimation processing according to the counted quantity of supplied commodities;
the commodity replenishment prompting module is used for prompting the commodity replenishment condition according to the quantity of the existing supplied commodities in the warehouse.
5. The intelligent supply chain platform according to claim 4, wherein said supply prediction unit is bi-directionally coupled to a capital risk management terminal, and said supply prediction unit is bi-directionally coupled to a restocking end docking module;
The fund risk management terminal is used for comparing the amount required by the expected commodity supply with the funds left by the supply chain, and carrying out risk prompt processing when the funds are insufficient;
the commodity replenishment end docking module is used for docking the commodity replenishment end when the commodity is required to be supplied.
6. The intelligent supply chain platform according to claim 5, wherein the intelligent supply chain terminal is bidirectionally connected with a multi-stage warehouse terminal, the supply order generation module is bidirectionally connected with a bill recording terminal, the multi-stage warehouse terminal is used for carrying out the warehouse classification and classification processing on the supply chain warehouse in a provincial level, a municipal level and a county level, and the bill recording terminal is used for carrying out the recording processing on bill information generated by the supply order.
7. The intelligent supply chain platform according to claim 6, wherein the supply recording unit comprises a supply address recording module and a receiver recording module, the supply address recording module being bi-directionally connected with the receiver recording module;
The supply address recording module is used for recording information of the receiving address of the supplied commodity;
The receiver recording module is used for recording and processing personnel information of the received and supplied commodity.
8. The intelligent supply chain platform according to claim 7, wherein the logistics position positioning unit comprises a logistics positioning module and a supply logistics real-time changing module, and the logistics positioning module is in bidirectional connection with the supply logistics real-time changing module;
the logistics positioning module is used for positioning the position of the supply chain logistics vehicle in real time;
The supply logistics real-time change module is used for carrying out real-time change notification on the transportation route of the supply chain logistics vehicle.
9. The intelligent supply chain platform according to claim 8, wherein the intelligent supply adjustment unit comprises a logistics vehicle recording module, a logistics vehicle route identification module and a logistics vehicle distribution module, wherein the output end of the logistics vehicle recording module is in communication connection with the input end of the logistics vehicle route identification module, and the output end of the logistics vehicle route identification module is in communication connection with the input end of the logistics vehicle distribution module;
the logistics vehicle recording module is used for recording logistics vehicle information of a supply chain;
the logistics vehicle route identification module is used for carrying out route identification processing on a transportation route of the logistics vehicle;
The logistics vehicle distribution module is used for distributing transportation commodities to logistics vehicles according to the requirements of supplied commodities and the positions where the commodities need to arrive, carrying out cargo loading and driving route distribution processing on the vehicles participating in transportation, and transporting to a destination for supply delivery.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010250668A (en) * | 2009-04-17 | 2010-11-04 | Konica Minolta Holdings Inc | Supply chain management support system |
| CN110210833A (en) * | 2019-06-04 | 2019-09-06 | 合肥博耀信息技术有限公司 | A kind of unattended wisdom supply chain system |
| CN111553771A (en) * | 2020-04-30 | 2020-08-18 | 湛江壹方城电子商务有限公司 | Intelligent e-commerce system |
| CN113222704A (en) * | 2021-05-21 | 2021-08-06 | 刘天琼 | Wisdom supply chain digit DaaS trans-border electricity business service platform |
| CN113469397A (en) * | 2020-03-31 | 2021-10-01 | 株式会社日立制作所 | Intelligent supply chain system and server platform |
| CN114819849A (en) * | 2022-05-23 | 2022-07-29 | 广东乔润物联网科技有限公司 | Logistics management system and method |
| CN115271614A (en) * | 2022-08-30 | 2022-11-01 | 浙江中昊物流技术有限公司 | Green low-carbon intelligent warehouse management platform |
-
2023
- 2023-04-20 CN CN202310428199.7A patent/CN117273296B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010250668A (en) * | 2009-04-17 | 2010-11-04 | Konica Minolta Holdings Inc | Supply chain management support system |
| CN110210833A (en) * | 2019-06-04 | 2019-09-06 | 合肥博耀信息技术有限公司 | A kind of unattended wisdom supply chain system |
| CN113469397A (en) * | 2020-03-31 | 2021-10-01 | 株式会社日立制作所 | Intelligent supply chain system and server platform |
| CN111553771A (en) * | 2020-04-30 | 2020-08-18 | 湛江壹方城电子商务有限公司 | Intelligent e-commerce system |
| CN113222704A (en) * | 2021-05-21 | 2021-08-06 | 刘天琼 | Wisdom supply chain digit DaaS trans-border electricity business service platform |
| CN114819849A (en) * | 2022-05-23 | 2022-07-29 | 广东乔润物联网科技有限公司 | Logistics management system and method |
| CN115271614A (en) * | 2022-08-30 | 2022-11-01 | 浙江中昊物流技术有限公司 | Green low-carbon intelligent warehouse management platform |
Non-Patent Citations (1)
| Title |
|---|
| 基于智慧供应链模式的物资计划管理研究;李晓菡;;河北企业;20200610(第06期);全文 * |
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