CN113836362A - Supply chain management system and method based on graph technology - Google Patents
Supply chain management system and method based on graph technology Download PDFInfo
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- CN113836362A CN113836362A CN202111165828.9A CN202111165828A CN113836362A CN 113836362 A CN113836362 A CN 113836362A CN 202111165828 A CN202111165828 A CN 202111165828A CN 113836362 A CN113836362 A CN 113836362A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The invention discloses a supply chain management system and a method based on graph technology, wherein the system comprises: a data acquisition module: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring commodity information and supply information and obtaining a plurality of point data and a plurality of side data according to the analysis processing of the commodity information and the supply information; a supply chain model building module: the system comprises a database, a plurality of point data and a plurality of edge data, a supply chain model and a database, wherein the supply chain model is constructed according to the point data and the edge data and is stored in the database; the graph database query module: and the database query system is used for inputting query sentences according to the keywords so as to search and query the database and output query results. According to the method, the map database is searched and analyzed for the associated data, so that the global visualization of the supply chain is realized, the purposes of estimating the availability and cost of the supply chain and predicting the risk are achieved, and the supply chain management is enhanced.
Description
Technical Field
The invention relates to the technical field of supply chains, in particular to a supply chain management system and a supply chain management method based on graph technology.
Background
Supply chain (Supply chain) refers to a network chain structure formed by enterprises upstream and downstream of the production and circulation process, which provides products or services to end users. In today's competitive business environment, the business value and competitive advantage offered by effective supply chain management to companies is becoming more and more apparent. However, the way of supply chain intelligence is much harder than imagination, and one major challenge of enterprise supply chain intelligence transformation is data integration.
The creation of an intelligent supply chain requires effective integration and connection of data and information in different fields such as operation management, logistics, purchasing and the like, and meanwhile, enterprises need a complete IT system to arrange and process multi-source data. The system provides a unified frame platform for multi-source heterogeneous data, and meanwhile, the visual analysis of the whole supply chain can be realized, so that enterprises can fully know important information of finer granularity. In addition, the operation of the platform requires a management system that can integrate the supply chain, allowing the enterprise to identify potential bottlenecks in the supply chain. More importantly, the platform needs to have the capability of simulating a scene, and the specific situation and the risk scale of the potential risk can be known.
In reality, the existing supply chain management tools and software of most enterprises are not enough to realize intelligent supply chain management, and although each warehouse also has data recording and tracking, the data sharing is difficult to realize. Currently, supply chain management software such as SAP and Oracle is widely used by enterprises, but is limited by the fractured data per se, and related reports are all based on isolated data sets. Due to the lack of global information, reporting can hardly assist enterprise managers in making analysis decisions based on the supply chain universe.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a supply chain management system and a supply chain management method based on graph technology, which improve the supply chain management efficiency.
In a first aspect, a supply chain management system based on graph technology includes:
a data acquisition module: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring commodity information and supply information and obtaining a plurality of point data and a plurality of side data according to the analysis processing of the commodity information and the supply information;
a supply chain model building module: the system comprises a database, a plurality of point data and a plurality of edge data, a supply chain model and a database, wherein the supply chain model is constructed according to the point data and the edge data and is stored in the database;
the graph database query module: and the database query system is used for inputting query sentences according to the keywords so as to search and query the database and output query results.
Further, the air conditioner is provided with a fan,
the point data comprises commodities, components, component suppliers and assembler, wherein the components are obtained by splitting a commodity composition structure, and the components comprise but are not limited to parts, parts and elements;
the edge data is an association relation between two point data, the type of the edge data is determined by the starting point data and the end point data, and the type of the edge data comprises but is not limited to a production relation, a providing relation, a composition relation and an assembly relation.
Further, the supply chain model is a supply chain relation graph model among commodities, components, component suppliers and assemblers.
Further, the graph database query module comprises a specified commodity query unit, and the specified commodity query unit is used for querying components, component suppliers, assembler and supply relations of the specified commodity and outputting a supply chain relation graph of the specified commodity.
Further, the map database query module further comprises a common component query unit, and the common component query unit is used for querying common components of a plurality of commodities and suppliers of the common components, and outputting a common component supply chain relation diagram of the commodities.
In a second aspect, a supply chain management method based on graph technology includes the steps of:
acquiring commodity information and supply information, and analyzing and processing according to the commodity information and the supply information to obtain a plurality of point data and a plurality of pieces of side data;
constructing a supply chain model according to the plurality of point data and the plurality of edge data, and storing the supply chain model in a graph database;
and inputting a query sentence according to the keyword so as to search and query the graph database and output a query result.
Further, the air conditioner is provided with a fan,
the point data comprises commodities, components, component suppliers and assembler, wherein the components are obtained by splitting a commodity composition structure, and the components comprise but are not limited to parts, parts and elements;
the edge data is an association relation between two point data, the type of the edge data is determined by the starting point data and the end point data, and the type of the edge data comprises but is not limited to a production relation, a providing relation, a composition relation and an assembly relation.
Further, the supply chain model is a supply chain relation graph model among commodities, components, component suppliers and assemblers.
Further, the search query comprises querying components, component suppliers, assembler and supply relations of the specified commodity, and outputting a supply chain relation graph of the specified commodity.
Further, the search query also comprises a common component for querying a plurality of commodities and suppliers of the common component, and a common component supply chain relation graph for the commodities is output.
The invention has the beneficial effects that: the supply chain model is built according to the commodity information and the supply information, the supply chain model is stored in the graph database, the graph database is searched and analyzed for associated data, the global visualization of the supply chain is achieved, the purposes of estimating the availability and the cost of the supply chain and predicting risks are achieved, and the supply chain management is enhanced.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a block diagram of a supply chain management system based on graph technology according to an embodiment;
fig. 2 is a flowchart of a supply chain management method based on graph technology according to the second embodiment;
fig. 3 is a vehicle supply chain model of a supply chain management method based on graph technology according to a third embodiment.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Example one
As shown in fig. 1, a supply chain management system based on graph technology includes:
a data acquisition module: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring commodity information and supply information and obtaining a plurality of point data and a plurality of side data according to the analysis processing of the commodity information and the supply information;
a supply chain model building module: the system comprises a database, a supply chain database and a database, wherein the database is used for storing a plurality of point data and a plurality of edge data;
the graph database query module: and the query sentence input module is used for inputting a query sentence according to the key words so as to search and query the graph database and output a query result.
Specifically, the system firstly obtains commodity information and supply information through the data obtaining module, wherein the commodity information comprises specific information of commodities and a plurality of commodity components, such as models, numbers, names and the like, and the plurality of commodity components can be divided into parts, components, elements and the like according to the commodity composition structure. The provisioning information includes the supplier of the goods, the supplier of the components, the assembler, and the relationship between the goods and the components, between the components themselves, between the components and the supplier, etc.
Further, the commodity, each component supplier and the assembler are used as point data, the association relations between the commodity and the component, between the components themselves and between the components and the suppliers are used as edge data, and the starting point and the ending point of the edge data are two different point data. The type of each edge data is determined by the starting point data and the end point data, such as: production relationship, supply relationship, composition relationship, assembly relationship, and the like.
After the plurality of point data and the plurality of edge data are obtained, a corresponding supply chain model is built through a supply chain model building module according to the plurality of point data and the plurality of edge data, and the supply chain model comprises the relationship among commodities, components, component suppliers and assembler. After the supply chain model is built, the supply chain model is stored in a graph database, all relevant information on the supply chain model is integrated by the graph database, the graph database is connected with the mobile terminal through a network, and at least one user in the supply chain can access and inquire the graph database through the network.
A user can input query sentences according to key words through the graph database query module, search and query are carried out on the specified commodity in the graph database, and a supply chain relation graph of the specified commodity is output, wherein the supply chain relation graph comprises components, component suppliers, supply relations and the like of the commodity.
Furthermore, the user can input query sentences in the graph database according to the keywords, and the graph database query module queries the shared components of a plurality of different commodities and the suppliers of the shared components. Specifically, all components of one of a plurality of different commodities are obtained through inquiry, then related commodities of all components of the one commodity are inquired, finally shared components of the plurality of commodities are obtained, and a supply chain relation graph of the shared components of the plurality of different commodities is output.
Example two
As shown in fig. 2, a supply chain management method based on graph technology includes the steps of:
s1: acquiring commodity information and supply information, and analyzing and processing according to the commodity information and the supply information to obtain a plurality of point data and a plurality of pieces of side data;
specifically, the system firstly obtains commodity information and supply information through a data obtaining module, wherein the commodity information comprises specific information of commodities and a plurality of commodity components, such as models, numbers, names and the like, and the plurality of commodity components can be divided into parts, components, elements and the like according to the commodity components. The provisioning information includes the supplier of the goods, the supplier of the components, the assembler, and the relationship between the goods and the components, between the components themselves, between the components and the supplier, etc.
Further, the commodity, each component supplier and the assembler are used as point data, the association relations between the commodity and the component, between the components themselves and between the components and the suppliers are used as edge data, and the starting point and the ending point of the edge data are two different point data. The type of each edge data is determined by the starting point data and the end point data, such as: production relationship, supply relationship, composition relationship, assembly relationship, and the like.
S2: constructing a supply chain model according to the plurality of point data and the plurality of edge data, and storing the supply chain model in a graph database;
specifically, after obtaining the plurality of point data and the plurality of edge data, the supply chain model building module builds a corresponding supply chain model according to the plurality of point data and the plurality of edge data, wherein the supply chain model comprises the relationship among commodities, components, component suppliers and assembler. After the supply chain model is built, the supply chain model is stored in a graph database, all relevant information on the supply chain model is integrated by the graph database, the graph database is connected with the mobile terminal through a network, and at least one user in the supply chain can access and inquire the graph database through the network.
S3: inputting a query sentence according to the keyword so as to search and query the graph database and output a query result;
specifically, a user can input query sentences according to keywords through the graph database query module, search and query the specified commodity in the graph database, and output a supply chain relation graph of the specified commodity, wherein the supply chain relation graph comprises components, component suppliers, supply relations and the like of the commodity.
Furthermore, the user can input query sentences in the graph database according to the keywords, and the graph database query module queries the shared components of a plurality of different commodities and the suppliers of the shared components. Specifically, all components of one of a plurality of different commodities are obtained through inquiry, then related commodities of all components of the one commodity are inquired, finally shared components of the plurality of commodities are obtained, and a supply chain relation graph of the shared components of the plurality of different commodities is output.
EXAMPLE III
A supply chain management method based on graph technology takes a vehicle as an example, and comprises the following steps:
s1: acquiring vehicle information and supply information, and analyzing and processing the vehicle information and the supply information to obtain a plurality of point data and a plurality of pieces of side data;
specifically, the system firstly obtains vehicle information and supply information through a data obtaining module, wherein the vehicle information comprises specific information of a vehicle and a plurality of components of the vehicle, such as vehicle model, vehicle number, brand name, vehicle type, component number, component type and the like, and the plurality of components of the vehicle can be divided into parts, components and elements according to vehicle composition. The supply information includes information about the vehicle supplier, the part supplier, the component supplier, the assembler, and the relationship between the vehicle and the component, between the component itself, between the component and the supplier.
Further, the vehicle, each component supplier, and the assembler are taken as point data, and the relationships between the vehicle and the component, between the component itself, and between the component and the supplier are taken as side data, the start point and the end point of which are two different point data. The type of each edge data is determined by the starting point data and the end point data, such as: the side data between the parts supplier and the parts supplier is a production relationship, the side data between the parts supplier and the parts supplier is a supply relationship, the side data between the parts and the parts is a composition relationship, and the side data between the parts and the vehicle is an assembly relationship, etc.
S2: constructing a supply chain model according to the plurality of point data and the plurality of edge data, and storing the supply chain model in a graph database;
specifically, after obtaining the plurality of point data and the plurality of edge data, the supply chain model of the vehicle is constructed by the supply chain model construction module according to the plurality of point data and the plurality of edge data, as shown in fig. 3, the supply chain model includes the vehicle, the part, the component, the part supplier, the component supplier, the assembler and the relationship therebetween. After the supply chain model is built, the supply chain model is stored in a graph database, all relevant information on the supply chain model is integrated by the graph database, the graph database is connected with the mobile terminal through a network, and at least one user in the supply chain can access and inquire the graph database through the network.
S3: inputting a query sentence according to the keyword so as to search and query the graph database and output a query result;
specifically, a user can input a query statement according to a keyword through the graph database query module, search and query a specified vehicle in the graph database, and output a supply chain relation graph of the specified vehicle to obtain all components, suppliers and corresponding supply relations of the specified vehicle.
For example, query all components of vehicle "C00001", component suppliers, and their corresponding supply relationships. Inputting a query statement:
v/query all components, component suppliers, and supply relationships for vehicle "C00001";
MATCH p ═ C (vehicle { vehicle number: "C00001" }) - [ r: assembly ] - (n: assembly) - [: composition:1.. 3] - (m) - [: production ] - (k);
v/return vehicle "C00001" component supply chain relationship;
RETURN p；
and finally outputting a component supply chain relation diagram of the vehicle 'C00001', including all components, component suppliers and supply relations of the vehicle 'C00001'.
Further, the user can input query sentences in the map database according to the keywords, and the map database query module queries common components of a plurality of different vehicles and suppliers of the common components. Specifically, all components of one vehicle in a plurality of different vehicles are obtained through inquiry, then the associated vehicles of all the components of one vehicle are inquired, finally the shared components of the plurality of vehicles are obtained, and a supply chain relation graph of the shared components of the plurality of vehicles is output.
For example, the common components of vehicles "C00001" and "C00002" and all suppliers that can supply these components are queried in the graph database. Inputting a query statement:
v/find the components assembled into vehicle "C00001" and query for the components assembled into vehicle "C00002" therein;
MATCH p ═ (n: vehicle { vehicle number: "C00001" }) < - [ r × 2..3] - (n1: component) - [ r1 × 2..3] - > (n2: vehicle { vehicle number: "C00002" });
v/return to common components of vehicle "C00001" and vehicle "C00002";
RETURN p；
and finally outputting a supply chain relation diagram of components shared by the vehicle C00001 and the vehicle C00002.
According to the output query result, the supply chain relation of the two vehicle components can be visually seen, if the component A in the shared component is insufficient in inventory, the capacity glide of one vehicle of the vehicle C00001 and the vehicle C00002 can be caused, and in order to guarantee the supply requirements of the two vehicles, a supply chain manager should pay attention to the inventory of the component A at any time to guarantee the production line.
According to the method, the supply chain model is constructed according to the commodity information and the supply information, the supply chain model is stored in the graph database, the overall visualization of the supply chain is realized by searching and analyzing the associated data of the graph database, the purposes of estimating the availability and the cost of the supply chain and predicting the risk are achieved, and the supply chain management is enhanced.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. A supply chain management system based on graph technology, comprising:
a data acquisition module: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring commodity information and supply information and obtaining a plurality of point data and a plurality of side data according to the analysis processing of the commodity information and the supply information;
a supply chain model building module: the system comprises a database, a plurality of point data and a plurality of edge data, a supply chain model and a database, wherein the supply chain model is constructed according to the point data and the edge data and is stored in the database;
the graph database query module: and the database query system is used for inputting query sentences according to the keywords so as to search and query the database and output query results.
2. The supply chain management system based on graph technology as claimed in claim 1,
the point data comprises commodities, components, component suppliers and assembler, wherein the components are obtained by splitting a commodity composition structure, and the components comprise but are not limited to parts, parts and elements;
the edge data is an association relation between two point data, the type of the edge data is determined by the starting point data and the end point data, and the type of the edge data comprises but is not limited to a production relation, a providing relation, a composition relation and an assembly relation.
3. The supply chain management system based on graph technology as claimed in claim 2, wherein the supply chain model is a supply chain relation graph model between commodities, components, component suppliers and assemblers.
4. The supply chain management system based on graph technology as claimed in claim 3, wherein the graph database query module comprises a specified commodity query unit, and the specified commodity query unit is used for querying components, component suppliers, assembler and supply relations of the specified commodity and outputting a supply chain relation graph of the specified commodity.
5. The supply chain management system based on graph technology as claimed in claim 3, wherein the graph database query module further comprises a common component query unit, the common component query unit is configured to query common components of a plurality of commodities and suppliers of the common components, and output a common component supply chain relationship graph of the commodities.
6. A supply chain management method based on graph technology is characterized by comprising the following steps:
acquiring commodity information and supply information, and analyzing and processing according to the commodity information and the supply information to obtain a plurality of point data and a plurality of pieces of side data;
constructing a supply chain model according to the plurality of point data and the plurality of edge data, and storing the supply chain model in a graph database;
and inputting a query sentence according to the keyword so as to search and query the graph database and output a query result.
7. The supply chain management method based on graph technology as claimed in claim 6,
the point data comprises commodities, components, component suppliers and assembler, wherein the components are obtained by splitting a commodity composition structure, and the components comprise but are not limited to parts, parts and elements;
the edge data is an association relation between two point data, the type of the edge data is determined by the starting point data and the end point data, and the type of the edge data comprises but is not limited to a production relation, a providing relation, a composition relation and an assembly relation.
8. The method of claim 7, wherein the supply chain model is a supply chain relationship graph model between commodities, components, component suppliers, and assemblers.
9. The method of claim 8, wherein the search query comprises a query of components, component suppliers, assembler and supply relationships of the specified commodity, and outputs a supply chain relationship diagram of the specified commodity.
10. The method of claim 8, wherein the search query further comprises querying a common component of the plurality of commodities and a supplier of the common component, and outputting a supply chain relationship diagram of the common component of the commodities.
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