CN113313337A - Intelligent wind control system and management method for material management - Google Patents
Intelligent wind control system and management method for material management Download PDFInfo
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Abstract
The invention relates to the technical field of material management, in particular to an intelligent wind control system and a management method for material management, which comprises a risk monitoring center for dynamically displaying the risk change condition of a supplier; the intelligent question-answering platform is used for service common problems, customizing a wind control strategy and visualizing a service flow; through the analysis of the supplier business data, the overall characteristics and the individual characteristics of the suppliers are displayed; the intelligent wind control center analyzes and calculates the contracting and default conditions of the insurance letters of the suppliers through big data and an artificial intelligence model; the system comprises a data management center and a background management center, wherein the data management center is used for data processing. The invention focuses on realizing the visual real-time monitoring and early warning, intelligent analysis and prediction and intelligent decision optimization of the service, opens up a new situation of fusion and communication of internal and external information in a supply chain, realizes the automatic statistical analysis of service data, the intelligent prediction of service risk and the intelligent optimization of service decision, and has strong creativity.
Description
Technical Field
The invention relates to the technical field of material management, in particular to an intelligent wind control system and a management method for material management.
Background
With the rapid development of big data and artificial intelligence, the traditional material management mode based on manual operation can not meet the development requirements of modern enterprises, and the problems encountered in actual work are represented in the following 3 aspects:
(1) in the aspect of statistical analysis, manual reporting and manual statistics are mainly used, and advanced analysis applications such as prediction analysis, relevance analysis and cause analysis are lacked.
(2) In the aspect of monitoring and early warning, most business links are simple in monitoring and early warning mode, and response speed to abnormal events is low.
(3) In the aspect of decision analysis, the business decision is mainly based on artificial experience, and the intelligent decision supported by objective quantitative data is less.
The invention aims to realize the visual real-time monitoring and early warning, intelligent analysis and prediction and intelligent decision optimization of the service, opens up a new situation of fusion and communication of internal and external information in a supply chain, and realizes the automatic statistical analysis of service data, the intelligent prediction of service risk and the intelligent optimization of service decision.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses an intelligent wind control system and a management method for material management, which are used for solving the problems in the prior art.
The invention is realized by the following technical scheme:
in a first aspect, the invention discloses an intelligent wind control system for material management, which comprises a risk monitoring center for dynamically displaying the risk change condition of a supplier;
the intelligent question-answering platform is used for service common problems, customizing a wind control strategy and visualizing a service flow; through the analysis of the supplier business data, the overall characteristics and the individual characteristics of the suppliers are displayed; the intelligent wind control center analyzes and calculates the contracting and default conditions of the insurance letters of the suppliers through big data and an artificial intelligence model;
the system comprises a data management center and a background management center, wherein the data management center is used for data processing.
Furthermore, the risk monitoring center comprises a panoramic image and each function display interactive interface, wherein the panoramic image comprises a risk distribution map, a material credit score, a raw material price, a risk early warning frequency, a risk early warning grade and a high risk supplier ranking.
Furthermore, the system carries out early warning on the risk of the suppliers through a risk monitoring center, monitors the internal risk of the suppliers including bidding, quality spot inspection, performance and default problems and the external risk including judicial enforcement, industrial and commercial change, equity change, asset mortgage, administrative punishment, serious illegal and letter loss, environmental protection and risk clearing, calculates the risk level of the suppliers and carries out risk early warning.
Furthermore, the panoramic image shows risk distribution, proportion, score, early warning, risk level and price fluctuation information of the suppliers; providing the integral risk portrait of the North supplier for the user; and monitoring and analyzing the overall risk condition.
Furthermore, the intelligent wind control center is provided with a supplier ranking, the grades of suppliers are calculated through indexes and weights, and the quantity and the proportion of the suppliers in each grade are counted; displaying the number of suppliers in each score stage, and analyzing the cause of score distribution; adjusting a score calculation rule or a supplier admission rule; and through big data analysis and artificial intelligence statistical calculation functions, supplier management and risk prediction are realized.
Furthermore, the intelligent wind control center is provided with a supplier group portrait, and the supplier group portrait analyzes the integral risk condition of the supplier through a risk portrait, an industry portrait and a material portrait; the method comprises the steps that through statistical analysis of data such as supplier enterprise type distribution, overall performance, contract conditions, order conditions, business process early warning and the like, the overall transaction condition, enterprise operation condition and enterprise strength of a supplier are displayed;
furthermore, the intelligent wind control center sets an individual image of the provider, and the enterprise scale, the supply and after-sale, the credit, the performance and the risk level information of the provider can be seen in the individual image function of the provider in the process of executing the contract or before bidding and inviting the bid; and pushing a customized wind control strategy according to the content displayed by the individual portrait, guiding the expansion of new services such as supply chain finance and the like, and enhancing risk monitoring and prevention in the contract execution process.
Furthermore, the system is provided with a risk strategy management library, and the wind control risk strategy library defines corresponding risk strategies according to risk levels and contract stages and provides strategy support for corresponding contract executors; after the strategy is used, deletion is not allowed, and the strategy can be modified;
the financial credit risk policy library sets interval policies according to default probabilities, finds corresponding risk policies according to evaluation results when performing financial risk evaluation, provides the risk policies to service management personnel and assists in development of supply chain financial services; deletion is not allowed after policy use, but the policy can be modified.
Furthermore, the intelligent wind control system comprises a processor and a memory, wherein the memory stores execution instructions, and when the processor executes the execution instructions stored in the memory, the processor controls the material management intelligent wind control system to work.
In a second aspect, the invention discloses a management method of a material management intelligent wind control system, wherein the management method uses the material management intelligent wind control system as described in the first aspect, unifies data specifications, establishes a data middlebox, and realizes service datamation; establishing a wind control intelligent model of each scene by applying an artificial intelligence technology, and accurately drawing a holographic portrait of a supplier on the basis of multidimensional data to realize data intellectualization; global data monitoring is carried out on the risk condition of a supplier by applying a data visualization technology, and 'thousands of enterprises and planes' is realized; the risk quantitative data is used as a basis to guide the development of conventional business, assist the development of new business and realize 'one enterprise one strategy and intelligent decision'.
The invention has the beneficial effects that:
the invention focuses on realizing the visual real-time monitoring and early warning, intelligent analysis and prediction and intelligent decision optimization of the service, opens up a new situation of fusion and communication of internal and external information in a supply chain, realizes the automatic statistical analysis of service data, the intelligent prediction of service risk and the intelligent optimization of service decision, and has strong creativity.
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 is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a functional diagram of the system of the present invention; FIG. 2-1 is a technical architecture diagram of the present invention;
FIG. 2-2 is a technical roadmap for the present invention;
FIG. 3-1-1 is a supplier credit score chart;
3-1-2 is a high, medium, low risk ratio graph; 3-1-3 are statistics of the number of times of pre-warning;
3-1-4 are risk pre-warning level graphs; 3-1-5 are charts of high risk provider leaderboards;
FIGS. 3-1-6 are raw material price diagrams;
3-2-1 is a supplier risk detail diagram;
FIG. 3-2-2 is a push air control strategy diagram; 3-2-3 are diagrams of policy usage;
3-3-1 is a graph of the ratio of grades and the score distribution; 3-3-2 is a diagram of a vendor ranking TOP 10;
3-3-3 are diagrams of supplier rating radar;
3-3-4 are diagrams of supplier capability assessment details-basic strength, technical capacity; 3-3-5 are supplier capability assessment details-financial index diagrams;
3-3-6 are supplier capability assessment details-performance graphs; 3-3-7 are supplier capability assessment detail-concentration diagrams;
3-3-8 are supplier individual representations-2;
3-3-9 are supplier individual representations-3; 3-3-10 are bidder risk profiles;
3-3-11 are diagrams of bidder qualification review query fields; 3-3-12 are diagrams of bidder qualification review lists;
3-3-13 are supplier chain financial credit-default probability, default risk exposure diagrams; 3-3-14 are supplier chain financial credit-default probability, default risk batch exposure diagrams;
3-3-15 are supplier chain financial credit-order detail diagrams; 3-3-16 are supplier chain financial credit-order detail diagrams by viewing the insurance policy;
3-3-17 are diagrams of supplier chain financial credit-individual portrait assessment results;
3-4-1 is a supplier performance schedule diagram;
3-4-2 are supplier performance change history maps; 3-4-3 are supplier performance level diagrams;
3-5-1 is a vendor management diagram; 3-5-2 are supplier management-individual supplier-1;
3-5-3 are supplier management-individual supplier-2; 3-5-4 are supplier management-individual supplier-3;
3-5-5 are supplier management-individual supplier-4; 3-5-6 are supplier management-individual supplier-5;
3-5-7 are supplier management-individual suppliers-6; 3-5-8 are supplier management-individual supplier-7;
3-5-9 are supplier management-individual supplier-8; 3-5-10 are supplier management-individual supplier-9;
3-5-11 are supplier management-individual suppliers-10;
3-6-1 are business process visualization diagrams;
3-6-2 are business process visualization-list diagrams;
3-7-1 is risk policy library management-1; 3-7-2 is risk policy library management-2;
FIG. 3-8-1 is a graph of a supplier relationship diagram; 3-8-2 are vendor relationship maps;
3-9-1 are grey list management diagrams; 3-9-2 are diagrams of gray list management lists;
3-10-1 are executable policy query list diagrams;
3-10-2 are common problem classification diagrams;
3-11-1 are index management diagrams;
3-11-2 are diagrams of supplier label library management; 3-11-3 are vendor tag management-enable/disable diagrams;
3-11-4 are diagrams of early warning rule configurations; 3-11-5 are early warning indicator configuration diagrams;
FIGS. 3-11-6 are diagrams of a negotiation record configuration;
FIGS. 3-11-7 are diagrams of batch import conversation records; fig. 3-11-8 are diagrams of delete session records.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
In this embodiment, as shown in fig. 1, the system of this embodiment belongs to the national grid, north intelligent operation center (operation supervision block), and aims to create a "four-center-one platform", comprehensively sense, and early warn internal and external risks caused by a problem of a provider in real time, so as to realize "data sharing and comprehensive sensing"; unifying data specifications, improving data quality, establishing a data middling station and realizing 'service datamation'; establishing a wind control intelligent model of each scene by applying an artificial intelligence technology, and accurately drawing a holographic portrait of a supplier on the basis of multidimensional data to realize data intellectualization; global data monitoring is carried out on the risk condition of a supplier by applying a data visualization technology, and 'thousands of enterprises and planes' is realized; the risk quantitative data is used as a basis to guide the development of conventional business, assist the development of new business and realize 'one enterprise one strategy and intelligent decision'.
The embodiment is focused on realizing the visual real-time monitoring and early warning, intelligent analysis and prediction and intelligent decision optimization of the service, developing a new situation of fusion and communication of internal and external information in a supply chain, and realizing the automatic statistical analysis of service data, the intelligent prediction of service risk and the intelligent optimization of service decision.
The technical architecture design of the embodiment fully meets the construction requirements of 'one platform, one invention, micro application, multiple scenes and multiple channels' of the national network company, and accesses the full-service data center in a micro application mode by using a service-oriented software design method, as shown in fig. 2-1. The technical route fully conforms to the requirement of ' notice about typical design (trial) of information construction business application of the issuing company ' of the national network communication department ', an enterprise portal provides an access entrance, and a national network integrated cloud platform provides infrastructure services, as shown in fig. 2-2.
Example 2
The function list of the present invention disclosed in this embodiment is shown in table 1, and includes 26 function points
TABLE 1 System function List
Example 3
The disclosed panorama of the embodiment shows risk distribution, proportion, score, early warning, risk level and price fluctuation information of a supplier; providing the integral risk portrait of the North supplier for the user; and the overall risk condition is monitored and analyzed, so that the wind control strategy is convenient to adjust in time, the bid procurement scheme is adjusted, and the contract execution condition is regulated and controlled. And (4) counting the risk scores of the suppliers, optimizing the management system of the suppliers and adjusting the distribution quantity of the suppliers at each grade.
Introduction of functions:
1. mapping vendor risk distributions
2. FIG. 3-1-1 counts high, medium, and low risk ratios;
3. fig. 3-1-2 shows the supplier credit score (statistical by material category): green over 90; blue over 80; yellow over 70; 70 or below, the user can visually see the distribution condition of the credit scores of the suppliers through colors;
4. 3-1-3, counting the number of early warning times, and comparing the early warning conditions of the previous month and the current month to obtain the expansion percentage of the early warning conditions;
5. 3-1-4 statistics of risk early warning level conditions, displaying risk early warning level quantities of different dimensions;
6. 3-1-5 show the top 5 ranked suppliers based on the cumulative number of internal and external risks;
7. figures 3-1-6 show monthly price changes for raw materials in variant 4 to facilitate price forecasting and capital budget adjustment.
Example 4
The embodiment discloses the implementation effect of the risk early warning center, and the internal and external risk conditions are counted according to the risk level calculation rule of a supplier; and analyzing the risk details of the suppliers, automatically matching the risk strategy, and pushing the risk strategy to a contract executor by a material company service staff to guide the contract executor to perform contract performance work.
The supplier risk early warning function can show the overall risk of the suppliers through the internal risk and the external risk and emphatically show 10 suppliers with high risk; click provider details may show the provider's performance and policy usage in the contract phase.
Brief introduction of function:
1. the supplier risk early warning module can statistically analyze the internal risk ratio and distribution condition through the aspects of performing problems, quality spot inspection problems, bidding problems and default handling 4.
2. The supplier risk early warning module analyzes external risk occupation ratio and distribution condition of the supplier from 14 aspects of mortgage of property, stock right change, stock right quality, stock right freezing, enterprise administrative penalty, personnel administrative penalty, enterprise counterpoint guarantee, judicial case, executed person, loss trust executed person, environmental protection penalty, clearing information, abnormal directory, serious illegal loss trust and the like.
3. The risk amount, proportion and ring ratio information of high risk TOP10 is displayed according to the high risk provider calculation rules.
4. The detail list can search the risk information of the suppliers and the pushing strategy information according to the material category, the internal risk, the external risk, the supplier number, the supplier name, the early warning grade and the early warning time.
5. Clicking on the vendor name may enter a vendor risk details module.
In this embodiment, the details of the risk of the supplier are as follows:
1. FIG. 3-2-1 is a block diagram for counting the liquidation, judicial law, executives, serious illegal distrust, mortgage of property, change of equity, equity quality, equity freezing, enterprise administrative penalty, and number of personnel administrative penalty of a supplier based on external risk data of the supplier
2. The middle part of FIG. 3-2-1 counts the contract signing, contract performing, contract quantity in the contract settlement stage, total price of the tax contained in the contract, and paid amount information of the contract
3. 3-2-1, the bottom list looks up the order information in the selected supplier fulfillment according to the order number, the stage, and the date the order was created; the invention selects the risk order to click the pushing of the list head and pushes the strategy information to the related business accountability according to the setting, and the invention clicks the non-pushing of the list head and automatically pushes the history record of the selected order as the inapplicable strategy; and clicking the pushing opening strategy display frame of the operation column.
4. Checking the strategy according to the risk level and contract stage of the order, modifying the strategy along with the strategy information, clicking a push button on the right side of the figure 3-2-1, and pushing a wind control strategy to the related business responsibility, as shown in the figure 3-2-2; clicking the "not push" button, the present invention displays the policy usage history as no policy usage, see fig. 3-2-3.
5. Clicking on the strategy use history situation and viewing the strategy use history, and referring to the figure 3-2-3.
The embodiment discloses supplier performance early warning, and the module can check the supplier performance score condition and display the supplier performance score condition on an interface according to the score matching early warning level.
Brief introduction of function:
1. inquiring the performance condition of the supplier and the corresponding early warning grade according to the serial number of the supplier, the name of the supplier, the performance score and the early warning grade;
2. the list show fields are: serial number, supplier name, performance score, early warning level, early warning time, data source and early warning frequency.
In the embodiment, the associated risk early warning is disclosed, and the module can check information such as associated enterprises, associated persons, early warning levels, early warning time and the like; clicking on the associated information may view the information of the associate/business.
Brief introduction of function:
1. based on the association level and the bad behavior information, inquiring according to the association level, the early warning level, the risk type and the like;
2. the corresponding fields of the list are: serial number, supplier name, associated enterprise/partner, associated hierarchy, early warning event, early warning level, early warning time, data source, early warning frequency.
Example 5
The embodiment discloses the implementation effect of the intelligent wind control center, and the intelligent wind control center displays the rank of suppliers in the north through analyzing the data of the supply business; checking the evaluation of the whole life cycle of the supplier and the contract completion condition; displaying the overall characteristics and the individual characteristics of the suppliers; and analyzing the bond and default of the insurance of the supplier and recording the evaluation result.
Vendor ranking
In the embodiment, the grades of suppliers are calculated through 8 indexes and weights, and the quantity and the ratio of the suppliers in each grade are counted; displaying the number of suppliers in each score stage, and analyzing the cause of score distribution; adjusting a score calculation rule or a supplier admission rule; and a scientific supplier management and risk prediction system is realized through big data analysis and artificial intelligence statistical calculation functions.
Introduction of functions:
1. calculating the comprehensive scores of suppliers from 8 dimensions of basic strength, technical productivity, financial indexes, performance evaluation, concentration ratio, malpractice, social credit and development ability, and grading, wherein the grades are A at 95 or above, B at 90-95, C at 80-90 and D below 80; counting the distribution proportion and the distribution condition of the suppliers according to the grades and the performance scores of the suppliers, which is shown in figure 3-3-1;
2. respectively displaying information of TOP10 suppliers, scores and product supplies at each level, as shown in figure 3-3-2;
3. inquiring supplier information according to the material category, the industry comprehensive score and the supplier grade, and clicking the scoring details to check the score composition of the supplier comprehensive score;
evaluating details for vendor capabilities
Introduction of functions:
1. looking at the comprehensive strength of the supplier according to the scores of the 8 indexes in the supplier grade evaluation, see fig. 3-3-3;
2. the scoring conditions of basic strength, technical productivity, financial indexes, performance, concentration, bad behavior, development ability and social credit are shown through an area diagram, a line diagram, a bar chart and a dashboard diagram respectively, and the scoring conditions are shown in the figures from 3-3-4 to 3-3-7;
portraying a supplier group
The supplier group portrait deeply analyzes the integral risk condition of the supplier through 3 aspects of risk portrait, industry portrait and material portrait; through statistical analysis of data such as supplier enterprise type distribution, overall performance, contract condition, order condition, business process early warning and the like, the overall transaction condition, enterprise operation condition and enterprise strength of the North Ji supplier are displayed; and providing a North contract and a supplier management promotion direction.
Introduction of functions:
1. the risk portrait, the industry portrait and the material portrait of the supplier can be generated according to the risk preference, the industry and the material;
2. enterprise category analysis, performance analysis, risk preference analysis, transaction analysis and enterprise analysis of the module;
3. displaying high, medium, low, no risk times and proportions in the vendor risk profile; showing the distribution condition of the suppliers according to regions; analyzing the early warning quantity according to the service settlement;
4. displaying the industry distribution condition of a supplier in the industry risk portrait;
5. displaying the material distribution condition and the material category risk preference of a contract signed by a supplier on the material risk portrait;
6. and clicking the material subclass, analyzing the dynamic change of the risk preference, and displaying the risk preference condition of the material subclass.
For supplier individual portrayal
During the execution of the contract or before bidding invitation, the enterprise scale, supply and after-sale, credit, performance and risk grade information of the provider can be seen in the individual image function of the provider; and pushing a customized wind control strategy according to the content displayed by the individual portrait, guiding the expansion of new services such as supply chain finance and the like, and enhancing risk monitoring and prevention in the contract execution process.
Introduction of functions:
1. querying the individual representation of the supplier based on the supplier name/supplier code;
2. checking the enterprise scale, basic information, enterprise strength, products and after-sales information of a supplier; the invention automatically calculates the credit level and risk level of the supplier according to the supplier service data; and providing evaluation information according to the credit level and the risk level;
3. the invention calculates credit status, supplier performance information and supplier label information according to the service data, as shown in figure 3-3-8;
4. according to the invention, the risk preference of a supplier is calculated according to the service data, and early warning of unconfirmed contract, early warning of order overdue, early warning of order overdying and early warning of contract default are given, as shown in the figure 3-3-9;
qualification review for bidders
The applicant qualification audit shows the number of suppliers of different risk items through a bar chart; or search for a vendor to see what risk items are in order to determine whether to bid on them.
Introduction of functions:
1. looking at the number of suppliers of the bad actions such as historical bid inviting and bidding related to string bid, bad action, abnormal operation, loss of credit blacklist, electric power industry blacklist, severe bribery action, grey list, administrative penalty, environmental penalty and the like, is shown in FIGS. 3-3-10.
2. And inquiring bad behaviors such as label string, bad behavior, abnormal operation, letter loss blacklist, electric power industry blacklist, severe bribery behavior, grey list, administrative penalty, environmental penalty and the like of corresponding information according to the label, the package number and the name of the bidder, and referring to fig. 3-3-11.
3. Before bidding, the person in charge of bidding can import the information of bidders, labels and package numbers into the invention, and the invention judges whether the bidding company has illegal behaviors according to the rules so that the bidder can give out bidding invitation correctly, as shown in fig. 3-3-12.
Financial credit to supply chain
The supply chain financial function shows the default probability and the default loss rate; carrying out financial risk assessment on the supplier, and exporting an assessment result to a archive; checking the settlement information and the insurance sign of the supplier in the stages of order prepayment, arrival, delivery and quality guarantee. And may view an individual representation of the supplier based on the evaluation.
Introduction of functions:
1. the default probability distribution and the default risk exposure amount of the provider in the last month can be checked on a financial credit interface of the provider chain, and the default probability distribution and the default risk exposure amount in the last month are shown in figures 3-3-13;
2. searching a supplier default record according to the supplier code, the supplier name and the order code; the supplier to be evaluated is selected to be evaluated, the supplier evaluation can be carried out on the supplier, and the evaluation result and the strategy are displayed after the evaluation; if the batch evaluation is carried out, the evaluation result can be downloaded in a compressed file form, as shown in FIGS. 3-3-14;
3. clicking on the name of the supplier on the left side of fig. 3-3-14 can enter the individual image interface, the evaluation result can be viewed, see fig. 3-3-17, and clicking on "derive evaluation report" can also derive the evaluation result in the form of a report.
4. Clicking on the "order details" on the right side of fig. 3-3-14 looks at order information that the corresponding supplier is performing, such as stage of placement, amount of prepayment, amount of arrival, amount of shipping, amount of warranty, etc., see fig. 3-3-15.
5. Clicking on "view insurance" on the right side of fig. 3-3-14 may view the insurance information for the supplier's corresponding performance contract, see fig. 3-3-16.
Example 6
The embodiment discloses the performance implementation effect of the supplier:
introduction of functions:
1. inquiring the average value of the performance scores of the suppliers according to the labels, names, regions and grades of the suppliers; and show the supplier performance composite ranking, see fig. 3-4-1;
2. the supplier performance change history is queried according to the search conditions and can be compared transversely, see fig. 3-4-2;
3. the scoring status and rating of the supplier can be seen in the review scoring results interface, see fig. 3-4-3.
Example 7
The embodiment discloses the implementation effect of supplier management
Introduction of functions:
1. the invention inquires through supplier number, supplier name, enterprise state, industry classification, location, enterprise type and supplier grade;
2. the results set in FIGS. 3-5-1 show that: supplier number, supplier name, enterprise status, industry classification, location, enterprise type, legal, registered funds, supplier level;
3. if a certain supplier is to be checked, a display button is clicked to check the detailed information of the certain supplier; the detailed information can be viewed as the detailed contents of the basic information of the supplier, the qualification information, the internal bad information and the social credit information, which are shown in the figure 3-5-2 to the figure 3-5-11.
Example 8
The embodiment discloses the visual implementation effect of the business process
Introduction of functions:
1. displaying the order quantity of 8 business links including demand planning, bid procurement, contract signing, contract performance, contract settlement, finance, contract change and contract release, as shown in figure 3-6-1;
2. the sub-processes of 8 business links and the order number in each sub-process can be displayed;
3. the business stage where the inquiry is positioned can be carried out according to the purchase application number, the bid batch number, the purchase order number and the contract number;
4. detailed data can be derived, see FIGS. 3-6-2;
5. the detailed business flow chart of a specific order can be checked; when the order is sent to a certain service node, the node in the service flow chart is displayed as green, otherwise, the node is displayed as yellow and gray.
Example 9
The embodiment discloses the implementation effect of risk policy management
At present, corresponding management strategies are respectively formulated according to the management requirements of Jibei companies on the wind control risk and the credit risk of suppliers.
The wind control risk strategy library defines corresponding risk strategies according to the risk levels and the contract stages and provides strategy support for corresponding contract executors; deletion is not allowed after policy use, but the policy can be modified.
The financial credit risk policy library sets interval policies according to default probabilities, finds corresponding risk policies according to assessment results when performing financial risk assessment, and provides the risk policies to contract executors; deletion is not allowed after policy use, but the policy can be modified.
For wind control risk strategy base
1. Inquiring the strategy according to the strategy name, the stage, the risk level, the effective identification and the application identification; clicking (editing) to link and edit the strategy information, and clicking (storing) to store the modified information into a strategy library; the unapplied strategy can click [ delete ] to delete it; clicking (adding strategy) to add strategy information to the newly added blank row item, wherein the same strategy cannot be added repeatedly, which is shown in figure 3-7-1;
for financial credit risk policy base
1. Inquiring the strategy according to the strategy name, the default probability, the effective identification and the application identification; clicking (editing) to link and edit the strategy information, and clicking (storing) to store the modified information into a strategy library; the unapplied strategy can click [ delete ] to delete it; clicking the adding strategy information of the newly added blank row item adding strategy, wherein the same strategy cannot be repeatedly added, which is shown in the figure of 3-7-2.
Example 10
This example discloses the 3.8 vendor management map implementation
For graph query
Introduction of functions:
1. inquiring a provider map according to the name, the association level, the job and the relationship of the associated provider;
2. fig. 3-8-1 shows investment information for corporate organization architecture around suppliers, board members, investments outside, and stockholders.
For associative graph queries
Introduction of functions:
1. inquiring the relationship between two suppliers or between a supplier and other enterprises according to the name, the association level, the job assignment and the relationship of the associated supplier;
2. after clicking and inquiring, displaying a corresponding relation map, as shown in figure 3-8-2, and displaying a detailed description of the relation by map characters; clicking a certain company or a company partner can display basic company information and basic personal information;
3. and when the associated enterprises have abnormal conditions such as abnormal operation and the like, or enterprise partners such as legal persons, prisoners and the like have abnormal conditions such as lost credit and the like, displaying the associated risk text description on the page.
Example 11
This example discloses the effect of implementing 3.9 gray list management
For grey list management
Introduction of functions:
1. the grey list refers to the judgment of multiple dimensions of a reference supplier, and the supplier is manually added into or unpacked from the grey list by a person, as shown in figure 3-9-1;
2. the list field is a supplier number, a supplier name, a registration place, a supplier grade, whether to be listed in a grey list or not and operation;
3. clicking to join a popup window to input a processing reason and uploading a related certificate to submit;
4. click unseal occurs to confirm whether the popup unseals it.
5. Inquiring the suppliers according to the serial numbers and names of the suppliers, and adding the suppliers into a grey list or unsealing the suppliers in the grey list according to the operation;
for gray list queries
Introduction of functions:
1. searching for the provider information in the gray list according to the name of the provider, the number of the provider and the time of adding the provider into the gray list, as shown in fig. 3-9-2;
2. the invention supports the derivation of the grey list information in the search result set;
3. clicking related certificate inquiry can check the reason why the supplier is added into the grey list;
example 12
This example discusses the effects of the implementation of common problems
For executable policy library
Introduction of functions:
1. 3-10-1, a question description may be entered, a query may be made, matching questions may be searched, and answers may be answered;
2. the query can be carried out according to the problem classification and the problem classification subclass;
3. the description and the answering details of the questions can be displayed, and the image-text display and the accessory downloading are supported.
Configuring for common problems
Introduction of functions:
1. the method can be used for inquiring according to the problem classification, the problem subclass and the problem, and displaying a problem result list comprising the problem, the problem classification, the updater and the updating time;
2. adding/modifying question information, including question description, question classification, question label, whether to set top, answer information (supporting mixed text and text), and attachment uploading;
3. the problem manager can delete the non-compliance problem according to the requirement after checking the problem;
4. the invention supports the batch export function, and the default exports the problem of interface display in the form of XLS.
Management of problem classification
Introduction of functions:
1. in the problem classification management function, as shown in fig. 3-10-2, a problem classification and a problem classification subclass can be newly established;
2. the problem category that is not used may be deleted.
Example 13
The embodiment discloses the implementation effect of system configuration management
For index management
Introduction of functions:
1. as shown in fig. 3-11-1, various indexes (concentration index, strength index, performance index, bad behavior index, social credit index, and development ability index) of the model can be checked, and the weight is configured;
2. concentration indexes (total amount of contracts and number of contracts) can be checked, and weights are configured;
3. capability indexes (registered capital and patent number) can be checked, and weights can be configured;
4. the performance indexes (timeliness of goods arrival, goods receiving and inspection, production and manufacturing process control and assembly experiment inspection) can be checked, and the weight is configured;
5. bad behavior indicators (winning bid qualification 2, 4, 6, 12 months in pause, blacklisting 1, 2, 3 years, permanent, negotiation) can be checked, and a single deduction score is set;
6. the social credit indexes (operation risk, mortgage risk, equity risk, administrative punishment risk, judicial risk and serious illegal loss credit) can be checked, and the single deduction score is set;
7. the developmental competency indicator can be viewed and the weight set.
For label management
Introduction of functions:
1. as shown in fig. 3-11-2, editing the basic information of the tag, including the tag number, the tag name, the tag classification, and the tag description;
2. the label classification comprises 6 primary labels including a basic label, a business label, a credit label, an asset label, a behavior label and a risk label;
3. the invention automatically generates the rule of the label, and automatically marks the label for the supplier after matching the rule.
4. The tags may be enabled/disabled after generation as shown in fig. 3-11-3, and may be deleted when not in use.
For early warning rule configuration
Introduction of functions:
1. as shown in fig. 3-11-4, the module may first query the information such as the pre-warning rule through the pre-warning number, the pre-warning name, the pre-warning level, etc.;
2. as shown in fig. 3-11-5, the invention sets the pre-warning index and the sending mode, and carries out high, medium and low pre-warning according to the set index during pre-warning.
Recording configuration for negotiations
Introduction of functions:
1. as shown in fig. 3-11-6, the negotiation record can be queried according to the supplier number and the supplier name, including the supplier number, the supplier name, the negotiation time and the import time;
2. the negotiation record information may be added/modified, including: supplier number, supplier name, contract time, company participant, supplier participant, problem description, reason analysis, processing situation, contract two-party opinion;
3. as shown in fig. 3-11-7, the appointment records may be imported in bulk, automatically identified and matched with suppliers; the supplier's appointment records may also be exported in batches by template.
4. As shown in fig. 3-11-8, the conversation record may be deleted.
The invention can realize the visual real-time monitoring and early warning, intelligent analysis and prediction and intelligent decision optimization of the service, open up the new situation of fusion and communication of the internal and external information of the supply chain, and realize the automatic statistical analysis of service data, the intelligent prediction of service risk and the intelligent optimization of service decision.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The intelligent wind control system for material management is characterized by comprising a risk monitoring center for dynamically displaying the risk change condition of a supplier;
the intelligent question-answering platform is used for service common problems, customizing a wind control strategy and visualizing a service flow; through the analysis of the supplier business data, the overall characteristics and the individual characteristics of the suppliers are displayed; the intelligent wind control center analyzes and calculates the contracting and default conditions of the insurance letters of the suppliers through big data and an artificial intelligence model;
the system comprises a data management center and a background management center, wherein the data management center is used for data processing.
2. The intelligent material management wind control system according to claim 1, wherein the risk monitoring center comprises a panoramic view and each function display interactive interface, and the panoramic view comprises a risk distribution map, a material credit score, a raw material price, a risk early warning frequency, a risk early warning level and a high risk supplier ranking.
3. The intelligent pneumatic control system for material management of claim 1, wherein the system performs early warning on risk of suppliers through a risk monitoring center, monitors internal risks of suppliers including bidding, quality sampling inspection, performance and default problems and external risks including judicial enforcement, business change, equity change, asset mortgage, administrative punishment, serious illegal letter loss, environmental protection and risk clearing, calculates risk level of suppliers and performs risk early warning.
4. The intelligent wind control system for material management according to claim 1, wherein the panorama shows risk distribution, proportion, score, early warning, risk level, price fluctuation information of suppliers; providing the integral risk portrait of the North supplier for the user; and monitoring and analyzing the overall risk condition.
5. The intelligent wind control system for material management according to claim 1, wherein the intelligent wind control center is provided with a supplier rank, the supplier rank is calculated through indexes and weights, and the number and the proportion of suppliers in each grade are counted; displaying the number of suppliers in each score stage, and analyzing the cause of score distribution; adjusting a score calculation rule or a supplier admission rule; and through big data analysis and artificial intelligence statistical calculation functions, supplier management and risk prediction are realized.
6. The intelligent material management wind control system according to claim 1, wherein the intelligent wind control center is provided with a supplier group portrait, and the supplier group portrait analyzes the whole risk condition of the supplier through a risk portrait, an industry portrait and a material portrait; and the overall transaction condition, the enterprise operation condition and the enterprise strength of the supplier are displayed through statistical analysis of data such as the type distribution, the overall performance, the contract condition, the order condition, the business process early warning and the like of the enterprise of the supplier.
7. The intelligent material management wind control system according to claim 1,
the intelligent wind control center sets an individual portrait of a provider, and the enterprise scale, supply and after-sale, credit, performance and risk level information of the provider can be seen in the individual portrait function of the provider in the contract execution process or before tender purchase; and pushing a customized wind control strategy according to the content displayed by the individual portrait, guiding the expansion of new services such as supply chain finance and the like, and enhancing risk monitoring and prevention in the contract execution process.
8. The intelligent material management wind control system according to claim 1, wherein the system is provided with a risk policy management library, and the wind control risk policy library defines corresponding risk policies according to risk levels and contract stages and provides policy support for corresponding contract executors; after the strategy is used, deletion is not allowed, and the strategy can be modified;
the financial credit risk policy library sets interval policies according to default probabilities, finds corresponding risk policies according to evaluation results when performing financial risk evaluation, provides service management personnel, and assists in development of supply chain financial services; deletion is not allowed after policy use, but the policy can be modified.
9. The intelligent material management wind control system according to claim 1, comprising a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor controls the intelligent material management wind control system according to any one of claims 1 to 8 to work.
10. A management method of a material management intelligent wind control system, wherein the management method uses the material management intelligent wind control system according to any one of claims 1-9, and is characterized in that the method unifies data specifications, establishes a data middlebox, and realizes service datamation; establishing a wind control intelligent model of each scene by applying an artificial intelligence technology, and accurately drawing a holographic portrait of a supplier on the basis of multidimensional data to realize data intellectualization; global data monitoring is carried out on the risk condition of a supplier by applying a data visualization technology, and 'thousands of enterprises and planes' is realized; the risk quantitative data is used as a basis to guide the development of conventional business, assist the development of new business and realize 'one enterprise one strategy and intelligent decision'.
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