CN115358549A - Method, apparatus, device, medium and program product for provider hologram creation - Google Patents
Method, apparatus, device, medium and program product for provider hologram creation Download PDFInfo
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Abstract
The application relates to a supplier holographic portrait establishing method, a supplier holographic portrait establishing device, supplier holographic portrait establishing equipment, a supplier holographic portrait establishing medium and a program product, and belongs to the technical field of big data. The method comprises the following steps: collecting a plurality of target information of a target supplier; determining target secondary evaluation indexes corresponding to the target information from a secondary index set according to preset index rules, wherein each target secondary evaluation index belongs to a corresponding target primary evaluation index; calculating the index value of each target secondary evaluation index according to a preset score rule; obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; and acquiring and displaying the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index. By adopting the method, the holographic image which can comprehensively reflect the characteristics of the target supplier can be established.
Description
Technical Field
The present application relates to the field of big data technologies, and in particular, to a supplier holographic representation creating method, apparatus, device, medium, and program product.
Background
In modern business environments, enterprises of different sizes require different numbers of suppliers. The method is characterized in that the information of a supplier is mastered, the information of the supplier is important for the development of an enterprise, wherein the information of the supplier mainly comprises the quality, the price, the warranty duration, the performance capability, the qualification level, the risk degree, the service attitude, the risk processing capability and the like of a product, in order to ensure that the enterprise can select the best supplier meeting the self requirement, the prior art is provided with an enterprise resource management platform (ERP), a material allocation platform and other supplier informatization systems, and the informatization systems are mutually independent.
However, the prior art lacks a uniform platform for the supplier information, and cannot realize full coverage of the supplier information, so that the enterprise has one-sidedness in selecting suppliers, and the best supplier is not selected. Therefore, a method for creating a holographic representation of a supplier with full coverage of supplier information is needed.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a vendor holographic representation creation method, apparatus, device, medium, and program product.
In a first aspect, the present application provides a method for vendor holographic representation creation, the method comprising: collecting a plurality of target information of a target supplier; determining target secondary evaluation indexes corresponding to the target information from a secondary index set according to preset index rules, wherein each target secondary evaluation index belongs to a corresponding target primary evaluation index; calculating the index value of each target secondary evaluation index according to a preset score rule; obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; and acquiring and displaying the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
In one embodiment, calculating the index value of each target secondary evaluation index according to a preset score rule includes: determining the weight corresponding to each target primary evaluation index in the primary index set according to a pre-established primary index judgment matrix; for each target primary evaluation index, calculating the weight corresponding to each target secondary evaluation index according to a secondary index judgment matrix of a plurality of target secondary evaluation indexes corresponding to the target primary evaluation index; and calculating the index value of each target secondary evaluation index according to the weight and the score rule corresponding to each target secondary evaluation index.
In one embodiment, the attribute description information includes a label, and the acquiring and displaying of the attribute description information of the target provider based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index includes: and adding a label for the target supplier according to a preset label rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the label.
In one embodiment, the attribute description information includes a comprehensive index value, and the acquiring and displaying of the attribute description information of the target provider based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index includes: and summing the index values of the target secondary evaluation indexes to obtain a comprehensive index value corresponding to the target supplier, and displaying the comprehensive index value.
In one embodiment, the attribute description information includes a target radar map, and the acquiring and displaying of the attribute description information of the target provider based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index includes: and establishing a target radar map corresponding to the target supplier based on the index values of the primary evaluation indexes of the targets, and displaying the target radar map.
In one embodiment, the attribute description information includes risk information, and the attribute description information of the target provider is acquired and displayed based on an index value of each target secondary evaluation index and/or an index value of each target primary evaluation index, and includes: and determining the risk information of the target supplier based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information according to a preset risk rule, and displaying the risk information.
In a second aspect, the present application also provides a vendor holographic representation creation apparatus, comprising: the acquisition module is used for acquiring a plurality of target information of a target supplier; the determining module is used for determining target secondary evaluation indexes corresponding to the target information from the secondary index set according to preset index rules, and each target secondary evaluation index belongs to the corresponding target primary evaluation index; the first calculation module is used for calculating the index value of each target secondary evaluation index according to a preset score rule; the second calculation module is used for obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; and the acquisition module is used for acquiring and displaying the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
In one embodiment, the first calculation module is specifically configured to: determining the weight corresponding to each target primary evaluation index in the primary index set according to a pre-established primary index judgment matrix; for each target primary evaluation index, calculating the weight corresponding to each target secondary evaluation index according to a secondary index judgment matrix of a plurality of target secondary evaluation indexes corresponding to the target primary evaluation index; and calculating the index value of each target secondary evaluation index according to the weight and the score rule corresponding to each target secondary evaluation index.
In one embodiment, the attribute description information includes a tag, and the obtaining module is specifically configured to: and adding a label for the target supplier according to a preset label rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the label.
In one embodiment, the attribute description information includes a comprehensive index value, and the obtaining module is specifically configured to: and performing summation operation on the index values of the target secondary evaluation indexes to obtain a comprehensive index value corresponding to the target supplier, and displaying the comprehensive index value.
In one embodiment, the attribute description information includes a target radar map, and the obtaining module is specifically configured to: and establishing a target radar map corresponding to the target supplier based on the index values of the primary evaluation indexes of the targets, and displaying the target radar map.
In one embodiment, the attribute description information includes risk information, and the obtaining module is specifically configured to: and determining the risk information of the target supplier based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information according to a preset risk rule, and displaying the risk information.
In a third aspect, the present application further provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the method of any one of the first aspect when the processor executes the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of any one of the above first aspects.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program that when executed by a processor implements the steps of the method of any of the first aspects described above.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
in the embodiment of the application, firstly, a plurality of target information of a target provider is collected, wherein the plurality of target information can comprehensively cover the characteristics of the target provider; secondly, determining target secondary evaluation indexes corresponding to the target information from a secondary index set according to a preset index rule, and calculating the index values of the target secondary evaluation indexes according to a preset score rule; thirdly, obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; and finally, acquiring and displaying attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index, wherein the attribute description information can comprehensively reflect the characteristics of the target supplier, so that an enterprise can select the best supplier meeting the self requirement based on the attribute description information.
Drawings
FIG. 1 is a schematic diagram of an implementation environment provided by an embodiment of the present application;
FIG. 2 is a flow chart of a method for creating a holographic representation of a vendor according to an embodiment of the present application;
FIG. 3 is a schematic view of an image frame according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a supplier evaluation index provided in an embodiment of the present application;
FIG. 5 is a flowchart of a technical process for calculating an index value of a target secondary evaluation index according to an embodiment of the present application;
FIG. 6 is a schematic view of an image frame according to an embodiment of the present application;
FIG. 7 is a schematic illustration of a supplier holographic representation provided by an embodiment of the present application;
FIG. 8 is a block diagram of a supplier holographic representation creating device according to an embodiment of the present application;
fig. 9 is an internal structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In modern business environments, enterprises of different sizes require different numbers of suppliers. The method is characterized in that the information of a supplier is mastered and is important for the development of an enterprise, wherein the information of the supplier mainly comprises the quality, the price, the warranty duration, the performance capability, the qualification level, the risk degree, the service attitude, the risk processing capability and the like of a product, in order to ensure that the enterprise can select the best supplier meeting the self requirement, an enterprise resource management platform (ERP), a material allocation platform and other supplier informatization systems are arranged in the prior art, and the informatization systems are mutually independent.
However, the prior art lacks a uniform platform for the supplier information, and cannot realize full coverage of the supplier information, so that the enterprise has one-sidedness in selecting suppliers, and the best supplier is not selected. Therefore, a method for creating a holographic representation of a supplier with full coverage of supplier information is needed.
In view of this, embodiments of the present application provide a method, an apparatus, a device, a medium, and a program product for creating a supplier holographic representation, by which attribute description information of a supplier can be obtained and displayed, where the attribute description information can comprehensively describe quality of the supplier, so that an enterprise can find a supplier that best matches its own requirements through the attribute description information.
Please refer to fig. 1, which illustrates a schematic diagram of an implementation environment related to establishment of a provider hologram provided in an embodiment of the present application. As shown in fig. 1, an execution subject of the provider holographic representation creation provided by the embodiment of the present application may be an independent computer device, or may be a computer device cluster composed of multiple computer devices. Different computer devices can communicate with each other in a wired or wireless manner, and the wireless manner can be realized through WIFI, an operator network, NFC (near field communication) or other technologies.
Referring to fig. 2, a flowchart of a supplier holographic representation creating method provided by an embodiment of the present application is shown, where the supplier holographic representation creating method can be applied to the computer device shown in fig. 1. As shown in fig. 2, the supplier holographic representation creation method may include the steps of:
Optionally, the target information may include internal data and external data of the target provider, where the internal data generally refers to provider data included in a procurement system/OA system inside the enterprise and mainly includes historical performance behavior, supply continuity, and the like of the provider, and the external data generally refers to data acquired by the enterprise from outside the internal system, and optionally may be purchased from a third-party channel and mainly includes industry and commerce information, social credit information, and the like of the provider. The more comprehensive and quantitative the target information, the more accurate the characteristics of the supplier reflected by the finally established supplier holographic image, therefore, enough and comprehensive target information can be obtained for obtaining the best supplier holographic image.
The supplier holographic portrait is a technical means for extracting decentralized and fragmented supplier target information and enabling the supplier state to be embodied and visualized by setting multi-dimensional supplier attribute description information. Optionally, the attribute description information may include a comprehensive index value of the provider, where the comprehensive index value is used to reflect an overall comprehensive situation of the provider, and may further include a ranking of the provider.
In an alternative embodiment of the present application, an image frame may be created and a vendor holographic image created based on the image frame. As shown in fig. 3, the portrait frame includes a database, a calculation model, a tag library and a portrait application layer from bottom to top, in order to collect and store accurate supplier information in time, optionally, a preliminary design may be made on the structure of the database, the structure of the database is divided into a data collection layer and a data management layer, the data collection layer is mainly responsible for collecting internal data and external data of the supplier in real time or periodically, and synchronizes the internal data and the external data, the data management layer is used for performing a preprocessing operation on the collected internal data and the collected external data, and mainly includes performing data cleaning, identification, integration and other operations on the collected internal data and the collected external data, so as to provide a data base for subsequently establishing a supplier holographic portrait.
Optionally, before the provider holographic representation is established, a general primary index set and a general secondary index set can be established in advance. On the basis, target secondary evaluation indexes corresponding to the target information are determined from the secondary index set according to preset index rules. Optionally, the method can also be used for establishing the holographic image of the supplier, and simultaneously, a developer autonomously establishes a required primary evaluation index and a required secondary evaluation index according to the self requirement, and establishes an index rule.
In order to fully describe the situation of each dimension of a supplier, the evaluation index of the supplier can be established according to three principles: 1. the method has the advantages that the operability is flexible, the evaluation index has enough flexibility, and enterprises can flexibly use the method according to self characteristics and actual conditions; 2. scientific practicability, moderate evaluation index level and proper index, and can truly reflect the actual level of a supplier; 3. according to the particularity of different industries, the evaluation index has a certain expansion space.
Optionally, the index rule may include a keyword rule, a threshold rule, and the like, for example, if the index rule is to incorporate target information including a keyword of "product percent of pass" into a secondary evaluation index "product percent of pass", according to the rule, the target information including the monthly product percent of pass, the quarterly product percent of pass, the annual product percent of pass, and the like is determined as a target secondary evaluation index, and the category of the index rule is not limited in the embodiment of the present application.
And step 203, calculating the index value of each target secondary evaluation index by the computer equipment according to a preset score rule.
If the target secondary evaluation index comprises 'business reputation', the full score of the index value of the business reputation is 10, and if the index value of the business reputation corresponding to the target provider is 1, the business reputation of the target provider is very poor and the target provider is hardly worth enterprise trust.
The main description is that the index value of the target secondary evaluation index can be calculated according to the score rule, or the index value corresponding to the target secondary evaluation index can be manually given, optionally, the secondary evaluation index can be divided into qualitative index and quantitative index, the quantitative index can be calculated according to the score rule, such as quality qualification rate, delivery on-time rate, lowest price ratio, and the like. For qualitative indexes, such as customer satisfaction, technical support timeliness, etc., manual work is usually required to assign corresponding index values.
And step 204, the computer equipment obtains the index value of each target primary evaluation index based on the index value of each target secondary evaluation index.
Each primary evaluation index includes a plurality of secondary evaluation indexes, as shown in fig. 4, the supplier evaluation index includes a primary evaluation index qualification capability, a price level, and the like, and the primary evaluation index qualification capability includes a secondary evaluation index business reputation, a financial status, a registered capital, and the like.
Optionally, the index value of each secondary evaluation index corresponding to the primary evaluation index is summed to obtain the index value of the primary evaluation index. As shown in table 1 below, the primary evaluation index qualification capability includes secondary evaluation indexes of business reputation, financial status, and registered capital, and if the index values corresponding to the business reputation, the financial status, and the registered capital are all 5 points, the index value of the primary evaluation index qualification capability is 15 points.
TABLE 1
And step 205, the computer device obtains and displays the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
Optionally, the attribute description information may include a composite index value, a ranking, a label, a radar map, risk information, and the like of the target provider, and the target information comprehensively covers the features of the target provider, so that the attribute description information may comprehensively reflect the features of the target provider, and the category included in the attribute description information is not limited in the embodiment of the present application.
The attribute description information of the target supplier is the holographic image of the target supplier, and the holographic image of the target supplier is mainly applied to three aspects: 1. from the perspective of service linkage enabling, a supplier list meeting service requirements is screened for purchasing services, and the range of potential suppliers is selected according to evaluation results of the suppliers; 2. from the perspective of refinement and differentiated management of suppliers, the suppliers need to comprehensively utilize all dimension data of the suppliers to evaluate the suppliers, classify different types of suppliers and grade the suppliers with different service capabilities; 3. from the perspective of a supplier early warning system, in order to prevent the risk of the supplier, early warning needs to be performed on the risk of the overdue qualification of the supplier, the risk of the decline of the performance capability, the risk of the decline of the social credit and the like.
In the embodiment of the application, firstly, a plurality of target information of a target provider are collected, wherein the target information can comprehensively cover the characteristics of the target provider; secondly, determining target secondary evaluation indexes corresponding to each target information from a secondary index set according to a preset index rule, and calculating the index value of each target secondary evaluation index according to a preset score rule; thirdly, obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; and finally, acquiring and displaying attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index, wherein the attribute description information can comprehensively reflect the characteristics of the target supplier, so that an enterprise can select the best supplier meeting the self requirement based on the attribute description information.
Referring to fig. 5, a technical process for calculating an index value of a target secondary evaluation index according to an embodiment of the present application is shown, and as shown in fig. 5, the technical process may include the following steps:
Optionally, a weight corresponding to each target primary evaluation index may be calculated by using an Analytic Hierarchy Process (AHP), where the AHP is a decision method for performing qualitative and quantitative analysis on the basis of decomposing elements related to a decision into a target, a criterion, a scheme, and the like.
Optionally, the process of calculating the primary index determination matrix by using an analytic hierarchy process (AHP for short) may include: 1. establishing a hierarchical structure model, which mainly refers to a hierarchical structure chart dividing a plurality of target information of a target supplier into a target primary evaluation index and a target secondary evaluation index in the embodiment of the application; 2. constructing a primary index judgment matrix, wherein the hierarchical structure of the evaluation indexes reflects the relationship between the indexes, the importance degrees of the primary evaluation indexes relative to the target suppliers are different, and pairwise comparison is carried out on the importance degrees of the primary evaluation indexes by constructing the primary index judgment matrix. Optionally, expert interview and questionnaire modes can be adopted, experts score importance degrees of the indexes, and the importance degrees of the indexes are compared pairwise to construct a first-level index judgment matrix. On the basis of constructing the first-level index judgment matrix, solving the eigenvector of the matrix corresponding to the first-level index judgment matrix through matrix operation, and further obtaining the weight corresponding to each target first-level evaluation index. The higher the weight, the more important the index is for evaluating the capability of the supplier, and the lower the weight, the less influence of the index on the capability of the supplier is represented.
As shown in tables 2 and 3, table 2 shows the scale of the correspondence between the importance levels of the primary evaluation indexes, and Table 3 shows the primary index judgment matrix constructed based on the scale of Table 2, the element a ij The result of the comparison of the ith factor with respect to the jth factor is shown. For example, in the second row and third column of Table 3, since A2 is more important than A3, then a 23 To 7, to name a few, the expert may construct a primary index decision matrix such as table 3 based on the scale of table 2.
TABLE 2
TABLE 3
| Z | A1 | A2 | A3 | | A5 |
| A1 | |||||
| 1 | 1/2 | 4 | 3 | 3 | |
| |
2 | 1 | 7 | 5 | 5 |
| |
1/4 | 1/7 | 1 | 1/2 | 1/3 |
| |
1/3 | 1/5 | 2 | 1 | 1 |
| |
1/3 | 1/5 | 2 | 1 | 1 |
Optionally, after the first-level index judgment matrix is constructed, the consistency of the first-level index judgment matrix needs to be checked. Consistency is simply understood as the degree of relative importance between the first order evaluation indices of the reactions in the matrix is self consistent. As in table 3, the first column shows the degree of importance A2> A1> A4= A5> A3, but the third column or row indicates that the degree of importance A4 is not equal to A5, and there is logical inconsistency. Therefore, before calculating the weights of the first-level evaluation indexes based on the first-level index judgment matrix, consistency check indexes CI and RI need to be calculated to ensure that the finally constructed first-level index judgment matrix meets the consistency requirement.
The importance degree of each secondary evaluation index relative to the primary evaluation index is different, and when calculating the weight of each secondary evaluation index relative to the corresponding primary evaluation index, reference may be made to a method for calculating the weight of the primary evaluation index, and details are not repeated here.
Optionally, calculating the index value of each target secondary evaluation index according to the weight and the score rule corresponding to each target secondary evaluation index may include the following steps:
firstly, determining the scores of the two-level evaluation indexes according to the score rules corresponding to the target two-level evaluation indexes.
Optionally, the score rule may include a threshold rule, for example, the score rule may be: three thresholds are set for the registered capital for the secondary evaluation index, the first threshold being 1000 ten thousand, the second threshold being 100 ten thousand, and the third threshold being 10 ten thousand, and in the case where the registered capital is greater than the first threshold, the score of the registered capital is defined as 100, in the case where the registered capital is between the second threshold and the second threshold, the score of the registered capital is defined as 70, and in the case where the registered capital is less than the third threshold, the score of the registered capital is defined as 30.
And secondly, for each target secondary evaluation index, determining the weight corresponding to the target secondary evaluation index and the weight of the target primary evaluation index corresponding to the secondary evaluation index, and multiplying the fraction of the target secondary evaluation index, the weight corresponding to the target secondary evaluation index and the weight of the target primary evaluation index corresponding to the secondary evaluation index to obtain the index value of the target secondary evaluation index.
In the above example, assuming that the score of the registered capital is 100 points, the weight of the registered capital is 0.3, and the weight of the target primary evaluation index qualification capability corresponding to the registered capital is 0.4, the index value of the registered capital is 0.3 × 0.4 × 100=12 points.
In an optional embodiment of the present application, the attribute description information may include a comprehensive index value, and optionally, the index value of each target secondary evaluation index may be summed to obtain the comprehensive index value corresponding to the target provider. As shown in table 1, a total index value of 73 points can be obtained by summing the index values of the target secondary evaluation indexes or summing the index values of the target primary evaluation indexes.
In an alternative embodiment of the present application, the attribute description information may include a rating and ranking of the target provider. Alternatively, the target suppliers may be ranked based on the composite index value. Alternatively, the target suppliers may be classified into four levels, i.e., a, B, C, and D, according to the composite index value, and as shown in table 4, suppliers with composite index values in the interval (85, 100) are classified as a-level suppliers; the method comprises the steps of dividing suppliers with comprehensive index values in intervals (70, 85) into B-class suppliers, dividing suppliers with comprehensive index values in intervals (60, 70) into C-class suppliers, dividing suppliers with comprehensive index values in intervals (45, 60) into D-class suppliers, dividing suppliers with comprehensive index values in intervals (0, 45) into E-class suppliers, taking the A-class suppliers as enterprise high-quality suppliers, considering to enlarge the cooperation range and increase purchasing share, considering to reduce the management attention and avoid the waste of management resources, and dividing the B-class suppliers into E-class suppliers, wherein the B-class suppliers have good evaluation but still have shortcomings, the enterprise can maintain the current purchasing share of the B-class suppliers and analyze the shortcomings according to the evaluation result, and requires the suppliers to put forward improvement measures, the C-class suppliers generally have more shortcomings, the C-class suppliers can adopt a negative purchasing strategy to the C-out of the successful purchase share, if the quality and service problems do not occur seriously, the suppliers keep the shortcomings, but the enterprises should not take the new evaluation into consideration, and should not take the business evaluation into consideration, and should not take the new business evaluation of the enterprise, and should not take action with the enterprise, and should not take the enterprise purchase and the enterprise classification, and listed in supplier blacklist.
TABLE 4
Alternatively, the plurality of suppliers may be ranked according to the integrated index value of the plurality of suppliers. The comprehensive index value of the supplier is an important basis for hierarchical classification management of the supplier, and the level of the comprehensive index value determines the grade evaluation of the supplier, so that the management strategy of an enterprise on the supplier is influenced.
In an optional embodiment of the present application, the attribute description information may include a tag, and optionally, a tag may be added to the target provider according to a preset tag rule based on at least one of an index value of each target primary evaluation index, an index value of each target secondary evaluation index, and a plurality of target information.
Optionally, the labels may include a basic label and a calculation label, where the basic label is a label added based on the target information, and the calculation label is a label added based on an index value of the target primary evaluation index or an index value of the target secondary evaluation index. Optionally, the label rule may be that, if a preset rule is satisfied, a corresponding label is added to the provider, for example, if the provider has no criminal litigation, business dispute, or the like for many years, a label with good social credit may be marked on the provider, and for example, if the registered capital of the provider is greater than 1000 ten thousand, a label with qualified persons may be marked on the provider.
Optionally, in order to fully cover the features of the provider, a label rule with multiple dimensions may be set for the provider, so as to add labels with multiple dimensions to the provider. The life cycle of the label includes links such as creation of the label, application of the label, maintenance of the label, and the like, and after the label is created and applied, information of a supplier needs to be collected periodically or in real time, and the label is updated according to the collected information of a new supplier, so that the accuracy of the label is guaranteed.
As shown in fig. 6, the calculation model includes a qualification capability calculation model, wherein the qualification capability calculation model may be a preset tag rule related to qualification capability, and a corresponding qualification capability tag may be added to the supplier according to the tag rule. In order to ensure the accuracy and effectiveness of the portrait label, a scientific and reasonable calculation model needs to be constructed, an evaluation result needs to be output, and a corresponding supplier label needs to be formed based on the evaluation result.
In an optional embodiment of the present application, the attribute description information includes a target radar map, and the target radar map corresponding to the target provider may be established based on an index value of each target primary evaluation index, and as shown in fig. 7, a target radar map corresponding to a company name "abcd limited" may be established based on the qualification capacity of 15 points, the delivery capacity of 27 points, the quality level of 16 points, the service level of 13 points, and the social credit of 10 points in table 1.
In an optional embodiment of the present application, the attribute description information includes risk information, and the risk information of the target provider may be determined and displayed according to a preset risk rule based on at least one of an index value of each target primary evaluation index, an index value of each target secondary evaluation index, and the plurality of target information.
For example, the preset risk rule is that the quality qualified rate is lower than 80% in three consecutive quarters, and if the quality qualified rate of the supplier is lower than 80% in three consecutive quarters, the risk information of the supplier is determined to be the quality qualified rate.
Optionally, after obtaining attribute description information such as a comprehensive index value, a rating, a ranking, a label, a radar map, and risk information of the target provider, the attribute description information may be displayed, for example, as shown in fig. 7, the attribute description information such as the comprehensive index value, the rating, the ranking, the label, the radar map, and the risk information of the provider named "abcd limited" is displayed, that is, the provider holographic representation is established.
Based on the created vendor holographic representation, the enterprise may select a good quality vendor. For example, in the bid inviting purchasing link, scientific evaluation can be performed on a target supplier group, particularly, the operation and maintenance cost of material and equipment is estimated according to the quality risk of the suppliers under the idea of whole life cycle cost management, so that the really high-quality suppliers are selected, malicious low-price competition of the suppliers is prevented, and the fair and fair market is disturbed.
And, based on the supplier holographic representation, the enterprise can perform performance/quality risk prevention and control. For example, by updating the holographic data of the supplier in real time, dynamically maintaining the portrait of the supplier, importing the relevant data information of the supplier into a calculation model, accurately evaluating the existing or potential suppliers or predicting the behavior, and selecting different management strategies for the supplier according to the feature labels output by the model, thereby preventing the potential performance risk and quality problems in advance. According to the difference between the supplier performance label and the quality label, the supplier performance capability and the quality level are accurately distinguished, the understanding of the business departments such as supply and quality on the specific capability level and the historical performance of the supplier is enhanced, and the possible performance or quality risk is effectively prevented through differentiated management and control measures. For example, for suppliers with "quality risk" labels, the material sampling rate should be increased appropriately.
Meanwhile, based on the provider hologram, the enterprise can carry out business risk prediction. For example, by statistically analyzing supplier information base data, a fact label of the quality of the supplier and performance is obtained, an algorithm model (machine learning prediction model, logistic regression or decision tree) between the fact label and characteristic variables such as performance indexes and basic information is constructed, and the default or quality problem of the supplier is predicted. And finally, continuously and iteratively training the model by updating the supplier database in real time, optimizing and perfecting, and continuously improving the prediction precision of the model.
In the embodiment of the application, the data communication between the supplier database and the label database and other service systems is realized by constructing the holographic portrait of the supplier, the risk early warning of the supplier is realized by a calculation model, a set of general supplier evaluation indexes is established by integrating the internal data and the external data of the supplier and combining the actual service requirements based on an AHP algorithm model, a uniform scientific and reasonable standard is provided for the supplier selection, and the time cost and the labor cost for the supplier to find the source are reduced. The method provides a proper solution for realizing the visualization of the provider performance and the early warning of the provider risk by establishing the provider holographic representation.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Referring to FIG. 8, a block diagram of a supplier holographic image creating apparatus 800 according to an embodiment of the present application is shown, where the supplier holographic image creating apparatus 800 may be configured in the computer device. As shown in fig. 8, the supplier holographic representation creation apparatus 800 includes an acquisition module 801, a determination module 802, a first calculation module 803, a second calculation module 804, and an acquisition module 805.
The acquisition module 801 is configured to acquire a plurality of target information of a target provider; a determining module 802, configured to determine, according to a preset index rule, a target secondary evaluation index corresponding to each target information from the secondary index set, where each target secondary evaluation index belongs to a corresponding target primary evaluation index; a first calculating module 803, configured to calculate an index value of each target secondary evaluation index according to a preset score rule; the second calculation module 804 is configured to obtain an index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; the obtaining module 805 is configured to obtain and display the attribute description information of the target provider based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
In one embodiment, the first calculating module 803 is specifically configured to: determining the weight corresponding to each target primary evaluation index in the primary index set according to a pre-established primary index judgment matrix; for each target primary evaluation index, calculating the weight corresponding to each target secondary evaluation index according to a secondary index judgment matrix of a plurality of target secondary evaluation indexes corresponding to the target primary evaluation index; and calculating the index value of each target secondary evaluation index according to the weight and the score rule corresponding to each target secondary evaluation index.
In one embodiment, the attribute description information includes a tag, and the obtaining module 805 is specifically configured to: and adding a label for the target supplier according to a preset label rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the label.
In one embodiment, the attribute description information includes a comprehensive index value, and the obtaining module 805 is specifically configured to: and summing the index values of the target secondary evaluation indexes to obtain a comprehensive index value corresponding to the target supplier, and displaying the comprehensive index value.
In one embodiment, the attribute description information includes a target radar map, and the obtaining module 805 is specifically configured to: and establishing a target radar map corresponding to the target supplier based on the index values of the primary evaluation indexes of the targets, and displaying the target radar map.
In one embodiment, the attribute description information includes risk information, and the obtaining module 805 is specifically configured to: and determining the risk information of the target supplier according to a preset risk rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the risk information.
The supplier holographic portrait establishing device provided by the embodiment of the application can realize the method embodiment, the realization principle and the technical effect are similar, and the details are not repeated.
The various modules of the above-described vendor holographic image creation apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, the internal structure of which may be as shown in FIG. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a vendor holographic representation creation method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment of the present application, there is provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the following steps when executing the computer program: collecting a plurality of target information of a target supplier; determining target secondary evaluation indexes corresponding to each target information from a secondary index set according to preset index rules, wherein each target secondary evaluation index belongs to a corresponding target primary evaluation index; calculating the index value of each target secondary evaluation index according to a preset score rule; obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; and acquiring and displaying the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining the weight corresponding to each target primary evaluation index in the primary index set according to a pre-established primary index judgment matrix; for each target primary evaluation index, calculating the weight corresponding to each target secondary evaluation index according to a secondary index judgment matrix of a plurality of target secondary evaluation indexes corresponding to the target primary evaluation index; and calculating the index value of each target secondary evaluation index according to the weight and the score rule corresponding to each target secondary evaluation index.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and adding a label for the target supplier according to a preset label rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the label.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and summing the index values of the target secondary evaluation indexes to obtain a comprehensive index value corresponding to the target supplier, and displaying the comprehensive index value.
In one embodiment, the processor when executing the computer program further performs the steps of: and establishing a target radar map corresponding to the target supplier based on the index values of the primary evaluation indexes of the targets, and displaying the target radar map.
In one embodiment, the processor when executing the computer program further performs the steps of: and determining the risk information of the target supplier according to a preset risk rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the risk information.
The implementation principle and technical effect of the computer device provided by the embodiment of the present application are similar to those of the method embodiment described above, and are not described herein again.
In an embodiment of the application, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of: collecting a plurality of target information of a target supplier; determining target secondary evaluation indexes corresponding to the target information from a secondary index set according to preset index rules, wherein each target secondary evaluation index belongs to a corresponding target primary evaluation index; calculating the index value of each target secondary evaluation index according to a preset score rule; obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; and acquiring and displaying the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the weight corresponding to each target primary evaluation index in the primary index set according to a pre-established primary index judgment matrix; for each target primary evaluation index, calculating the weight corresponding to each target secondary evaluation index according to a secondary index judgment matrix of a plurality of target secondary evaluation indexes corresponding to the target primary evaluation index; and calculating the index value of each target secondary evaluation index according to the weight and the score rule corresponding to each target secondary evaluation index.
In one embodiment, the computer program when executed by the processor further performs the steps of: and adding a label for the target supplier according to a preset label rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the label.
In one embodiment, the computer program when executed by the processor further performs the steps of: and summing the index values of the target secondary evaluation indexes to obtain a comprehensive index value corresponding to the target supplier, and displaying the comprehensive index value.
In one embodiment, the computer program when executed by the processor further performs the steps of: and establishing a target radar map corresponding to the target supplier based on the index values of the primary evaluation indexes of the targets, and displaying the target radar map.
In one embodiment, the computer program when executed by the processor further performs the steps of: and determining the risk information of the target supplier according to a preset risk rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the risk information.
The implementation principle and technical effect of the computer-readable storage medium provided in this embodiment are similar to those of the above method embodiments, and are not described herein again.
In an embodiment of the application, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of: collecting a plurality of target information of a target supplier; determining target secondary evaluation indexes corresponding to the target information from a secondary index set according to preset index rules, wherein each target secondary evaluation index belongs to a corresponding target primary evaluation index; calculating the index value of each target secondary evaluation index according to a preset score rule; obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index; and acquiring and displaying the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the weight corresponding to each target primary evaluation index in the primary index set according to a pre-established primary index judgment matrix; for each target primary evaluation index, calculating the weight corresponding to each target secondary evaluation index according to a secondary index judgment matrix of a plurality of target secondary evaluation indexes corresponding to the target primary evaluation index; and calculating the index value of each target secondary evaluation index according to the weight and the score rule corresponding to each target secondary evaluation index.
In one embodiment, the computer program when executed by the processor further performs the steps of: and adding a label for the target supplier according to a preset label rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the label.
In one embodiment, the computer program when executed by the processor further performs the steps of: and summing the index values of the target secondary evaluation indexes to obtain a comprehensive index value corresponding to the target supplier, and displaying the comprehensive index value.
In one embodiment, the computer program when executed by the processor further performs the steps of: and establishing a target radar map corresponding to the target supplier based on the index values of the primary evaluation indexes of the targets, and displaying the target radar map.
In one embodiment, the computer program when executed by the processor further performs the steps of: and determining the risk information of the target supplier according to a preset risk rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the risk information.
The computer program product provided in this embodiment has similar implementation principles and technical effects to those of the method embodiments described above, and is not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), for example. The databases involved in the embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.
Claims (10)
1. A method of vendor holographic representation creation, said method comprising:
collecting a plurality of target information of a target supplier;
determining target secondary evaluation indexes corresponding to the target information from a secondary index set according to a preset index rule, wherein each target secondary evaluation index belongs to a corresponding target primary evaluation index;
calculating the index value of each target secondary evaluation index according to a preset score rule;
obtaining an index value of each target primary evaluation index in a primary index set based on the index value of each target secondary evaluation index;
and acquiring and displaying the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
2. The method according to claim 1, wherein the calculating an index value of each target secondary evaluation index according to a preset score rule comprises:
determining the weight corresponding to each target primary evaluation index in the primary index set according to a pre-established primary index judgment matrix;
for each target primary evaluation index, calculating the weight corresponding to each target secondary evaluation index according to a secondary index judgment matrix of a plurality of target secondary evaluation indexes corresponding to the target primary evaluation index;
and calculating the index value of each target secondary evaluation index according to the weight corresponding to each target secondary evaluation index and the score rule.
3. The method according to claim 2, wherein the attribute description information includes a label, and the obtaining and displaying of the attribute description information of the target provider based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index includes:
and adding the label to the target supplier according to a preset label rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the label.
4. The method according to claim 2, wherein the attribute description information includes a composite index value, and the obtaining and displaying of the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index comprises:
and summing the index values of the target secondary evaluation indexes to obtain a comprehensive index value corresponding to the target supplier, and displaying the comprehensive index value.
5. The method according to claim 2, wherein the attribute description information includes a target radar map, and the obtaining and displaying the attribute description information of the target provider based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index includes:
and establishing a target radar map corresponding to the target supplier based on the index value of each target primary evaluation index, and displaying the target radar map.
6. The method according to claim 2, wherein the attribute description information includes risk information, and the obtaining and displaying of the attribute description information of the target provider based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index includes:
and determining the risk information of the target supplier according to a preset risk rule based on at least one of the index value of each target primary evaluation index, the index value of each target secondary evaluation index and the plurality of target information, and displaying the risk information.
7. A vendor holographic representation creation apparatus, said apparatus comprising:
the acquisition module is used for acquiring a plurality of target information of a target supplier;
the determining module is used for determining target secondary evaluation indexes corresponding to the target information from a secondary index set according to preset index rules, and each target secondary evaluation index belongs to a corresponding target primary evaluation index;
the first calculation module is used for calculating the index value of each target secondary evaluation index according to a preset score rule;
the second calculation module is used for obtaining the index value of each target primary evaluation index in the primary index set based on the index value of each target secondary evaluation index;
and the acquisition module is used for acquiring and displaying the attribute description information of the target supplier based on the index value of each target secondary evaluation index and/or the index value of each target primary evaluation index.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110717636A (en) * | 2018-07-12 | 2020-01-21 | 北京京东尚科信息技术有限公司 | Rating method, device, medium and electronic equipment based on business data |
| CN115860572A (en) * | 2023-01-29 | 2023-03-28 | 北京长城电子商务有限公司 | Supplier evaluation method and system based on flexible configuration of multi-dimensional operation |
| CN115907308A (en) * | 2023-01-09 | 2023-04-04 | 佰聆数据股份有限公司 | User portrait-based electric power material supplier evaluation method and device |
| CN116050887A (en) * | 2022-12-19 | 2023-05-02 | 北京思维实创科技有限公司 | Supplier assessment method based on big data and related device |
| CN117495163A (en) * | 2023-10-24 | 2024-02-02 | 无锡摩芯半导体有限公司 | Method for managing order system of multiple specifications of same product in supply chain |
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2022
- 2022-08-04 CN CN202210934359.0A patent/CN115358549A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717636A (en) * | 2018-07-12 | 2020-01-21 | 北京京东尚科信息技术有限公司 | Rating method, device, medium and electronic equipment based on business data |
| CN116050887A (en) * | 2022-12-19 | 2023-05-02 | 北京思维实创科技有限公司 | Supplier assessment method based on big data and related device |
| CN115907308A (en) * | 2023-01-09 | 2023-04-04 | 佰聆数据股份有限公司 | User portrait-based electric power material supplier evaluation method and device |
| CN115907308B (en) * | 2023-01-09 | 2023-05-12 | 佰聆数据股份有限公司 | Electric power material provider evaluation method and device based on user portrait |
| CN115860572A (en) * | 2023-01-29 | 2023-03-28 | 北京长城电子商务有限公司 | Supplier evaluation method and system based on flexible configuration of multi-dimensional operation |
| CN117495163A (en) * | 2023-10-24 | 2024-02-02 | 无锡摩芯半导体有限公司 | Method for managing order system of multiple specifications of same product in supply chain |
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