CN110929969A - Supplier evaluation method and device - Google Patents
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Abstract
The invention provides a supplier evaluation method and a supplier evaluation device, which are used for acquiring supplier data related to supplier identification information, determining target data corresponding to each supplier evaluation index from the supplier data, generating a supplier analysis result corresponding to the supplier evaluation index based on the target data corresponding to the supplier evaluation index aiming at each supplier evaluation index, and generating a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index. The supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions. According to the invention, the analysis results of the suppliers under multiple dimensions can be obtained, so that when an enterprise selects a strategic supplier, the suppliers can be evaluated from different dimensions, and the selected supplier is more in line with the enterprise standard.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a supplier evaluation method and a supplier evaluation device.
Background
The performance of strategic suppliers has an increasing impact on enterprises, and the success of enterprises is affected in delivery, product quality, lead time, inventory level, product design and other aspects.
Currently, when an enterprise selects a strategic provider, a strategic provider selection standard is set, in the prior art, an evaluation standard of the strategic provider is selected as product quality, that is, the strategic provider is selected only by the product quality of the provider, so that the evaluation index is single, and the selected strategic provider is not the optimal provider easily.
Disclosure of Invention
In view of the above, the present invention has been made to provide a supplier's evaluation method and apparatus that overcomes or at least partially solves the above-mentioned problems.
A supplier evaluation method, comprising:
acquiring supplier data related to the supplier identification information;
determining target data corresponding to each supplier evaluation index from the supplier data, wherein the supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions;
for each supplier evaluation index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index;
and generating a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index.
Preferably, after acquiring the vendor data having a relationship with the vendor identification information, the method further includes:
carrying out data cleaning and classification on the supplier data to obtain various data with different preset categories;
correspondingly, determining target data corresponding to each supplier evaluation index from the supplier data comprises the following steps:
determining target data corresponding to each supplier evaluation index from a plurality of kinds of data with different preset categories according to the corresponding relation between the supplier evaluation index and the preset category;
and taking the determined target data as target data corresponding to the corresponding supplier evaluation index.
Preferably, the supplier evaluation index includes at least one of a basic information index, a transaction ranking index, a performance condition index, a product quality index, a compliance transaction index, a price index, a transaction settlement index, a share relation index, a major illegal recording condition index and a social evaluation index.
Preferably, if the supplier evaluation index includes a basic information index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
determining supplier basic information from the target data; the basic information of the supplier comprises field content corresponding to a preset field, and the basic information index corresponds to the basic information of the supplier;
and generating a supplier analysis result corresponding to the basic information index according to the supplier basic information.
Preferably, if the supplier evaluation index includes a transaction ranking index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
acquiring a preset transaction ranking rule;
and processing the target data based on the preset transaction ranking rule to obtain a supplier analysis result corresponding to the transaction ranking index.
Preferably, if the supplier evaluation index includes a performance status index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
calculating a performance rate and a delivery timeliness rate according to the target data;
acquiring a preset fulfillment output rule;
generating output data corresponding to the preset fulfillment output rule according to the fulfillment rate, the delivery timeliness rate and the target data;
and taking the output data as a supplier analysis result corresponding to the performance condition index.
Preferably, for each supplier evaluation index, generating a supplier analysis result corresponding to the supplier evaluation index based on the target data corresponding to the supplier evaluation index, including:
aiming at each supplier evaluation index, acquiring an index analysis rule corresponding to each supplier evaluation index based on a pre-established corresponding relation between the supplier evaluation index and the index analysis rule;
and analyzing the target data corresponding to each supplier evaluation index based on the index analysis rule to obtain a supplier analysis result corresponding to the supplier evaluation index.
An evaluation device of a supplier, comprising:
a data acquisition module for acquiring supplier data having a relationship with the supplier identification information;
the data determining module is used for determining target data corresponding to each supplier evaluation index from the supplier data, the supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions;
the first generation module is used for generating a supplier analysis result corresponding to each supplier evaluation index based on target data corresponding to the supplier evaluation index;
and the second generation module is used for generating a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index.
A storage medium comprising a stored program, wherein the program executes the supplier's evaluation method described above.
A processor for running a program, wherein the program when running performs the supplier's assessment method described above.
With the above technical solution, the supplier evaluation method and apparatus provided by the present invention obtain supplier data related to supplier identification information, determine target data corresponding to each of the supplier evaluation indexes from the supplier data, generate, for each of the supplier evaluation indexes, a supplier analysis result corresponding to the supplier evaluation index based on the target data corresponding to the supplier evaluation index, and generate a supplier analysis result set based on the supplier analysis result corresponding to each of the supplier evaluation indexes. The supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions. According to the invention, the analysis results of the suppliers under multiple dimensions can be obtained, so that when an enterprise selects a strategic supplier, the suppliers can be evaluated from different dimensions, and the selected supplier is more in line with the enterprise standard.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart illustrating a method for evaluating a supplier according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a method of another supplier evaluation method provided by an embodiment of the invention;
FIG. 3 is a flow chart illustrating a method of evaluating a supplier according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram illustrating an evaluation apparatus of a supplier according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
An embodiment of the present invention provides an evaluation method for a supplier, and referring to fig. 1, the evaluation method may include:
s11, acquiring supplier data related to the supplier identification information;
the supplier data may include supplier base information, purchase transaction data, delivery data, settlement data, quality inspection data, enterprise equity relationship data information, judicial dispute information, social public opinion information, and the like.
Specifically, the supplier basic information, the purchasing transaction data, the delivery data, the settlement data and the quality inspection data in the enterprise purchasing management information system can be acquired, and the internet enterprise stock right relation data information, the judicial dispute information, the social public opinion information and the like are crawled by adopting a web crawler technology, wherein the information is acquired by means of a knowledge graph, a case graph, a relational database, a non-relational database, a NoSQL database and the like.
In an actual application scenario, an information construction foundation of an enterprise needs to reach an advanced level, a platform condition of big data analysis is provided, supplier basic information, purchase transaction data, delivery data, settlement data and quality inspection data are derived from a purchase management information system (or a similar information system, such as a contract management system) of the enterprise and the internet, the supplier basic information, the purchase transaction data, the delivery data, the settlement data and the quality inspection data are collected by a data warehouse ETL, data of the internet is collected by a web crawler technology, and the crawled data are extracted into the data warehouse of the big data platform through the ETL.
Before acquiring the provider data having an association relationship with the provider identification information, a mapping relationship needs to be established between the provider data and the provider identification information, specifically, a provider name is extracted from the provider data, and a mapping relationship is established between the provider name and the provider data.
Optionally, on the basis of this embodiment, after step S11, the method may further include:
and carrying out data cleaning and classification on the supplier data to obtain various data with different preset categories.
The preset categories can include a purchase order data category, a purchase contract data category, an organization structure data category, a supplier main data category, a material main data category, a supplier admission data category, a purchase receiving data category, a settlement payment data category, a quality inspection data category, an enterprise equity information data category, a market price data category, a social public sentiment data category and a judicial dispute data category.
Specifically, the acquired data may include structured, unstructured, and semi-structured data, and natural language processing is required to be performed on the data, where the natural language processing includes: and performing word sense disambiguation, text classification and other processing on the data, converting unstructured data into structured data by adopting a picture character recognition technology, and the like, so as to obtain the data with different preset categories.
The process of word sense elimination for the data may be: 1. the method comprises the steps of obtaining dirty data, wherein the dirty data are operations such as spelling errors, naming habits, illegal values or null values, the same value is represented differently, if an automatic company is written as the automatic company, the automatic company has different numbers by adopting different numbering modes, and the automatic company has different numbers, such as 1022555 and 451212 numbers belonging to the same company.
2. And performing data cleaning on the dirty data, wherein the data cleaning comprises conversion, mapping, filtering and the like.
Specifically, the data is cleaned by adopting a mathematical statistics technology, a data mining technology, an anomaly detection technology and a repeated processing technology, for example, different numbers of the same company can be cleaned to be consistent, data with different names of the same supplier due to naming habits or misspelling and the like is analyzed by the data mining technology according to corresponding information of 'a business registration number, an organization code and a taxpayer identification number', and the names are converted or mapped to obtain consistent names.
S12, determining target data corresponding to each supplier evaluation index from the supplier data;
the supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions.
The supplier evaluation index may include, but is not limited to, at least one of a basic information index, a transaction ranking index, a performance status index, a product quality index, a compliance transaction index, a price index, a transaction settlement index, a equity relationship index, a major illegal record status index, and a social evaluation index. The supplier evaluation index is an index selected by a technician according to experience.
Optionally, after step S11, the method further includes: when the supplier data is subjected to data cleaning and classification to obtain a plurality of types of data with different preset categories, step S12 may include:
1) determining target data corresponding to each supplier evaluation index from a plurality of kinds of data with different preset categories according to the corresponding relation between the supplier evaluation index and the preset category;
specifically, each supplier evaluation index corresponds to at least one preset type, data exist in each preset type, and the data of the preset type corresponding to the supplier evaluation index serve as target data.
2) And taking the determined target data as target data corresponding to the corresponding supplier evaluation index.
S13, aiming at each supplier evaluation index, generating a supplier analysis result corresponding to the supplier evaluation index based on the target data corresponding to the supplier evaluation index;
the supplier analysis results are descriptive data of the suppliers established in one dimension.
And S14, generating a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index.
Specifically, the supplier analysis results may be summarized, so that a supplier analysis result set may be obtained.
In this embodiment, vendor data associated with vendor identification information is acquired, target data corresponding to each of the vendor evaluation indexes is determined from the vendor data, a vendor analysis result corresponding to each of the vendor evaluation indexes is generated for each of the vendor evaluation indexes based on the target data corresponding to the vendor evaluation index, and a vendor analysis result set is generated based on the vendor analysis result corresponding to each of the vendor evaluation indexes. The supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions. According to the invention, the analysis results of the suppliers under multiple dimensions can be obtained, so that when an enterprise selects a strategic supplier, the suppliers can be evaluated from different dimensions, and the selected supplier is more in line with the enterprise standard.
In addition, a set of complete, scientific and comprehensive strategic supplier evaluation system is established in the embodiment, so that the supplier can be comprehensively, specifically and objectively evaluated, and the enterprise can be helped to make a decision, evaluate and manage on the supplier. The supplier evaluation index is designed by combining quantitative index and qualitative index, and has systematicness, scientificity, practicability, comparability and growth. The real and clear portrait of the supplier is drawn through the data of the transaction behavior, the social behavior and the industrial behavior of the supplier and the enterprise, and a decision basis is provided for the enterprise to select the strategic supplier to cooperate quickly.
Optionally, on the basis of any of the foregoing embodiments, referring to fig. 2, step S13 may include:
s21, aiming at each supplier evaluation index, acquiring an index analysis rule corresponding to each supplier evaluation index based on a pre-established corresponding relation between the supplier evaluation index and the index analysis rule;
specifically, each supplier evaluation index corresponds to an index analysis rule,
index analysis rules corresponding to the supplier evaluation indexes are established in advance, and the index analysis rules are manually set according to experience according to the contents of the supplier evaluation indexes. And when the suppliers are analyzed at the later stage, directly acquiring index analysis rules corresponding to different evaluation indexes of the suppliers.
If the supplier evaluation index is the transaction ranking index, the established index analysis rule is as follows: calculating a performance rate and a delivery timeliness rate, and acquiring a preset performance output rule; and generating output data corresponding to the preset fulfillment output rule according to the fulfillment rate, the delivery timeliness rate and the target data, and taking the output data as a supplier analysis result corresponding to the fulfillment condition index.
And S22, analyzing the target data corresponding to each supplier evaluation index based on the index analysis rule to obtain a supplier analysis result corresponding to the supplier evaluation index.
Specifically, the index analysis rule specifies a rule for data extraction, calculation, analysis and output of the target data, and further extracts, calculates, analyzes and outputs the target data based on the index analysis rule to obtain a supplier analysis result.
The supplier analysis result can be displayed in the forms of characters, pictures, tables and the like, and the pictures can be thermodynamic diagrams, line diagrams or line charts and the like.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a basic information index, step S13 may include:
1) determining supplier basic information from the target data;
the basic supplier information comprises field content corresponding to a preset field. The basic information index corresponds to basic information of a supplier;
specifically, the target data corresponding to the basic information index includes:
the preset category is data corresponding to the supplier main data category and the supplier admission data category. I.e. comprising the supplier primary data corresponding to the supplier primary data category and the supplier admission data corresponding to the supplier admission data category.
The supplier main data and the supplier admission data comprise supplier names, and data corresponding to the supplier codes, the supplier names, the value-added tax registration numbers, the geographic positions, the attributes (internal or external), the admission products, the admission time, the validity periods, the qualification certificate names and the internal evaluations corresponding to the supplier names are extracted from the supplier main data and the supplier admission data. Wherein, supplier code, supplier name, value-added tax registration number, geographic position, attribute (internal or external), admission product, admission time, validity period, qualification certificate name and internal evaluation are preset fields.
2) And generating a supplier analysis result corresponding to the basic information index according to the supplier basic information.
Specifically, the basic supplier information may be directly used as the supplier analysis result, or each piece of data in the basic supplier information may be used as one label of the supplier, so as to obtain the supplier analysis result including all the labels.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a transaction ranking index, step S13 may include:
1) acquiring a preset transaction ranking rule;
specifically, the preset transaction ranking rule specifies which ranking method is used for ranking the transactions, and the ranking method may be different organizational levels, such as the transaction ranking of all suppliers of the suppliers in provincial level, the ranking of all subsidiaries of the suppliers under the head office, and the like.
2) And processing the target data based on the preset transaction ranking rule to obtain a supplier analysis result corresponding to the transaction ranking index.
The target data corresponding to the transaction ranking index is data corresponding to a purchase order data category, a purchase contract data category and an organization structure data category, namely the target data comprises purchase order data corresponding to the purchase order data category, purchase contract data corresponding to the purchase contract data category and organization structure data corresponding to the organization structure data category. The target data may comprise data of a supplier and suppliers with which the supplier has an association, such as suppliers belonging to the same head office, suppliers belonging to the same province, etc.
The purchase order data, the purchase contract data and the organization structure data all comprise the name of the supplier, so that the purchase order data, the purchase contract data and the organization structure data are in corresponding relation according to the name of the supplier.
It should be noted that the purchase management system and the contract management system of some enterprises are two independent systems, and at this time, it is also necessary to consider the repetition of the purchase order data and the data of the purchase contract, and at this time, the repeated data is performed and concurrently cancelled, so as to avoid repeated statistics.
Processing the target data based on the preset transaction ranking rule to obtain a supplier analysis result corresponding to the transaction ranking index, which may include:
and selecting data required by a preset transaction ranking rule from the target data, analyzing the selected data and plotting to obtain a supplier analysis result.
Specifically, the preset transaction ranking rule specifies which ranking method is used for ranking the transactions, and the ranking method may be different organizational levels, such as the transaction ranking of the supplier in the group, the ranking of the supplier in all branches and subsidiaries of the group company, and the like.
Taking the trade ranking of all suppliers in province level of a supplier as an example, the company code, the supplier name, the purchase date, the total purchase amount, the purchase frequency (counted by the number of purchase orders or purchase contracts), and the purchase amount ranking of all suppliers in the province need to be obtained from the target data. Arranging according to the numerical value of the total purchase amount from large to small and drawing.
In addition, the total amount of the purchase can be displayed in the form of thermodynamic diagrams.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a performance index, referring to fig. 3, step S13 may include:
s31, calculating a performance rate and a delivery timeliness rate according to the target data;
specifically, when the supplier evaluation index is the performance condition index, the target data is a purchase order data category, a purchase contract data category, an organization structure data category, a supplier main data category, and a purchase receipt data category, that is, the target data includes purchase order data corresponding to the purchase order data, purchase contract data corresponding to the purchase contract data category, organization structure data corresponding to the organization structure data category, supplier main data corresponding to the supplier main data category, and purchase receipt data corresponding to the purchase receipt data category. The purchase order data, the purchase contract data, the supplier main data and the purchase receiving data establish a connection relation through the name of the supplier; and establishing a connection relation through the organizational structure data in the purchase order data, the purchase contract data and the purchase receiving data.
Tracing the purchase receipt voucher and the warehousing acceptance bill according to the purchase order number or purchase contract of the supplier, and analyzing the performance condition of the supplier; the fulfillment rate is (the amount of received goods + the amount of the warehousing acceptance sheet)/(the amount of the purchase order + the amount of the contract) 100%.
Delivery timeliness: the delivery timeliness rate is (delivery time ═ receiving amount of the purchase order or contract delivery time + warehousing amount)/(purchase order amount + contract amount) × 100%.
It should be noted that the purchase management system and the contract management system of some enterprises are two independent systems, and the combination and offset of the purchase order and the purchase contract also need to be considered, so as to avoid repeated statistics.
S32, acquiring a preset fulfillment output rule;
specifically, the preset fulfillment output rule may be that the fulfillment rate and the delivery timeliness rate are displayed in percentage or in specific amounts such as total purchase amount and receiving amount according to different organizational hierarchy levels and material dimensions, and the two indexes may be displayed separately or in combination.
S33, generating output data corresponding to the preset fulfillment output rule according to the fulfillment rate, the delivery timeliness rate and the target data;
specifically, when the display is performed according to different organizational hierarchies, organizational hierarchy data, such as a supplier name and organizational structure data of the supplier, needs to be acquired from the target data.
And analyzing the target data, the fulfillment rate or the delivery timeliness rate according to a preset fulfillment output rule to obtain output data corresponding to the preset fulfillment output rule. The output data may be presented in a graphical form.
And S34, taking the output data as a supplier analysis result corresponding to the performance condition index.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a product quality index, the target data corresponding to the product quality index is data corresponding to a purchase and receipt data category, a quality inspection data category, and a social public opinion data category. That is, the target data includes purchase receipt data corresponding to the purchase receipt data category, quality inspection data corresponding to the quality inspection data category, and social public opinion data corresponding to the social public opinion data category.
According to the target data, analyzing the primary warehousing inspection qualification rate and the quality problem processing condition of the product supplied by the supplier:
1. the primary warehousing inspection yield is (total warehousing batches of materials-unqualified warehousing inspection batches of materials) ÷ total warehousing batches of materials) multiplied by 100%.
2. Quality problem information: the quality problem processing information in the enterprise purchasing management system is extracted from the information related to the quality in the enterprise social public sentiment acquired from the Internet by defining a label, and the sentiment of the public sentiment article is identified and displayed in a list or a graph. Wherein the displayed list or graph is the supplier analysis result.
In specific display, the article proportion of the supplier in terms of enterprise reputation, business situation and product quality, the proportion of neutral, negative and positive articles in article emotion, or the number of articles of the supplier under different labels can be displayed. Wherein, the label can be accident, qualification rate, technical innovation, complaint, quality evaluation, quality problem, etc.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a compliant transaction index, the target data corresponding to the compliant transaction index includes data corresponding to the purchase order data category and the purchase contract data category, that is, the target data includes purchase order data corresponding to the purchase order data category and purchase contract data corresponding to the purchase contract data category. According to the enterprise procurement management method, the following judgment is carried out on the transaction compliance of the supplier:
1. post contract: the date of the purchase order voucher is earlier than the signing time of the integrated purchase contract or the warehousing acceptance date is earlier than the signing time of the purchase contract, and the purchase orders or contract strokes meeting the conditions are counted;
2. bidding and non-bidding contracts: the single purchase order or contract amount > is 100 ten thousand, and the purchase mode ≠ 'order or contract number of bidding' (the drilling query detail needs to be supported, and the reason for non bidding is displayed);
3. breaking a contract:
1) contract name similarity > -70% and contract target similarity > -70%.
2) The contract A and the contract B with the same material code are not changed or the organization and the supplier name of the purchase order are not changed, and the signing dates (or the voucher dates of the purchase order) of a plurality of contracts are the same or similar (within 30 days).
3) The sum of each stroke is 100 ten thousand yuan, the number of the contract strokes is more than or equal to 2, and the total sum is 100 ten thousand yuan.
4) The same material code is used, the two parties of the transaction are the same, and the total amount of the purchased money in the natural year is 1000 ten thousand of the purchase order or the contract number.
Description of the drawings: a contract that needs to satisfy both condition 123 or condition 124 is an offending split contract.
The method can analyze and show the data in a chart form according to specific contents of post-affairs contracts, contracts which need to be tendered and are not tendered and contracts which are split in violation of rules according to different organizational levels, materials and order details, and can also show all indexes in a radar chart form. Such as the display of post-affairs contracts of different suppliers in the form of radar map, the proportion of non-bidding contracts to be bid and violation split contracts, the display of violation split order information in violation split contracts in a list, etc. The output result is a supplier analysis result set corresponding to the compliance transaction index.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a price index, the target data corresponding to the price index includes data corresponding to a purchase order data category, a purchase contract data category, and a market price data category, that is, the target data includes purchase order data corresponding to the purchase order data category, purchase contract data corresponding to the purchase contract data category, and market price data corresponding to the market price data category. Wherein, the purchase contract data and the market price data corresponding to the market price data category can be obtained from the internet, and the association relationship is established through the name of the supplier.
The material purchase price of a supplier is divided into different dimensions, and different objects are compared and labeled:
1. comparing according to organization, namely purchasing prices of the same supplier under different organizations;
2. comparing the purchase price with the purchase price of the similar material supplier under the same organization;
3. the annual price fluctuation of suppliers of the same material;
4. by establishing a material knowledge map, the supplier purchase price of the same material is compared with the market material price.
And outputting the comparison results of the four conditions in a form of a chart or a list as supplier analysis results corresponding to the price indexes.
Optionally, on the basis of this embodiment, if the provider evaluation index includes a transaction settlement index, the target data corresponding to the transaction settlement index is data corresponding to a purchase order data category, a purchase contract data category, a purchase receipt data category, and a settlement payment data category, that is, the target data includes purchase order data corresponding to the purchase order data category, purchase contract data corresponding to the purchase contract data category, purchase receipt data corresponding to the purchase receipt data category, and settlement payment data corresponding to the settlement payment data category. And calculating the payment timeliness rate of the supplier according to the target data, wherein the calculation formula of the payment timeliness rate of the supplier is as follows: the payment timeliness rate is (sum of paid amount ÷ total amount of accounts payable) × 100%.
The settlement payment of the supplier can be analyzed and output according to different organizational levels, so that the degree of cooperation between the supplier and each branch company can be judged. And outputting the result as a supplier analysis result corresponding to the transaction settlement index.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a stock right relationship index, the target data corresponding to the stock right relationship index includes data corresponding to a supplier primary data category and an enterprise stock right information data category, that is, the target data includes the supplier primary data corresponding to the supplier primary data category and the enterprise stock right information data corresponding to the enterprise stock right information data category.
And carrying out full-text retrieval by using the enterprise name, the industrial and commercial registration number, the organization code and the taxpayer identification number of the bidding enterprise, and retrieving the information of the legal person.
And performing directional retrieval by using the retrieved corporate information to retrieve all enterprise names, business registration numbers, organization codes and taxpayer identification numbers registered by the corporate names.
And searching key position persons of the searched enterprises, such as partners, joint creators, directors, prisoners and the like according to the searching result of the last step. And analyzing the investment relationship, the ratio of funding and stock participation and taking the role of the related enterprises according to the key position personnel results of the enterprises searched in the last step. And finally, analyzing the investment and invested relation among enterprises according to the retrieval result, wherein the enterprises belong to the direct branch or participate and control enterprises, namely the enterprise related to the supplier and the direct branch are obtained through analysis.
And displaying the analysis result, namely the supplier-related equity affiliation enterprises and the affiliated branches. The analysis result is the supplier analysis result corresponding to the stock right relation index.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a major illegal recording condition index, the target data corresponding to the major illegal recording condition index includes data corresponding to a supplier main data category and a legal dispute data category, that is, the target data includes the supplier main data corresponding to the supplier main data category and the legal dispute data corresponding to the legal dispute data category.
The judicial dispute data can be obtained by checking the court public judgment document information which is crawled from the internet within 3 years according to the name of a supplier of the supplier, listing cases which accord with major illegal records, and screening data for judging large fine amount, responsible production stoppage and shutdown, and suspended license or license by establishing a knowledge graph of the court judgment document. The administrative penalty information in the major illegal record is acquired from the following sources: full business data, trademark data and public litigation data of the Internet.
And displaying the major illegal records of the suppliers in a table mode, clicking to check the case title and the key judgment content, wherein the display result is the supplier analysis result corresponding to the major illegal record condition indexes.
Optionally, on the basis of this embodiment, if the supplier evaluation index includes a social evaluation index, the target data corresponding to the social evaluation index is data corresponding to a category of social public opinion data, that is, the target data is social public opinion data corresponding to the category of social public opinion data.
By defining the label, the enterprise social public sentiment information acquired by the Internet is extracted, and the sentiment of the public sentiment article is identified and displayed in a list or a graph. Wherein the displayed list or graph is the supplier analysis result.
In this embodiment, the supplier is comprehensively analyzed based on a big data means, the business activities of the supplier are comprehensively analyzed in ten aspects of a basic information index, a transaction ranking index, a performance condition index, a product quality index, a compliance transaction index, a price index, a transaction settlement index, a share right relation index, a major illegal record condition index and a social evaluation index, and the analysis result is displayed.
Optionally, on the basis of the above embodiment of the evaluation method for the supplier analysis result set supplier, another embodiment of the present invention provides an evaluation apparatus for a supplier, and with reference to fig. 4, the evaluation apparatus may include:
a data acquisition module 101 configured to acquire vendor data associated with vendor identification information;
a data determining module 102, configured to determine, from the supplier data, target data corresponding to each supplier evaluation index, where the supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set includes supplier evaluation indexes in different dimensions;
the first generation module 103 is configured to generate, for each provider evaluation index, a provider analysis result corresponding to the provider evaluation index based on target data corresponding to the provider evaluation index;
the second generating module 104 is configured to generate a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index.
Further, the supplier evaluation indexes comprise basic information indexes, transaction ranking indexes, performance condition indexes, product quality indexes, compliance transaction indexes, price indexes, transaction settlement indexes, share right relation indexes, major illegal recording condition indexes and social evaluation indexes.
Further, still include:
the data processing module is used for cleaning and classifying the supplier data after the data acquisition module 101 acquires the supplier data related to the supplier identification information to obtain various data with different preset categories;
correspondingly, the data determining module 102 is configured to, when determining the target data corresponding to each of the supplier evaluation indicators from the supplier data, specifically:
according to the corresponding relation between the supplier evaluation indexes and the preset types, determining target data corresponding to each supplier evaluation index from multiple types of data with different preset types, and taking the determined target data as target data corresponding to the corresponding supplier evaluation indexes.
In this embodiment, vendor data associated with vendor identification information is acquired, target data corresponding to each of the vendor evaluation indexes is determined from the vendor data, a vendor analysis result corresponding to each of the vendor evaluation indexes is generated for each of the vendor evaluation indexes based on the target data corresponding to the vendor evaluation index, and a vendor analysis result set is generated based on the vendor analysis result corresponding to each of the vendor evaluation indexes. The supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions. According to the invention, the analysis results of the suppliers under multiple dimensions can be obtained, so that when an enterprise selects a strategic supplier, the suppliers can be evaluated from different dimensions, and the selected supplier is more in line with the enterprise standard.
It should be noted that, for the working process of each module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of any of the foregoing embodiments, the first generating module may include:
the first rule obtaining submodule is used for obtaining an index analysis rule corresponding to each supplier evaluation index based on a corresponding relation between the supplier evaluation index and the index analysis rule established in advance aiming at each supplier evaluation index;
and the first generation submodule is used for analyzing the target data corresponding to each supplier evaluation index based on the index analysis rule to obtain a supplier analysis result corresponding to the supplier evaluation index.
Further, if the supplier evaluation index includes a basic information index, the first generating module may include:
the information determination submodule is used for determining basic supplier information from the target data; the supplier basic information comprises field content corresponding to a preset field; the basic information index corresponds to basic information of a supplier.
And the second generation submodule is used for generating a supplier analysis result corresponding to the basic information index according to the supplier basic information.
Further, if the supplier evaluation index includes a transaction ranking index, the first generating module may include:
the second rule obtaining submodule is used for obtaining a preset transaction ranking rule;
and the third generation submodule is used for processing the target data based on the preset transaction ranking rule to obtain a supplier analysis result corresponding to the transaction ranking index.
Further, if the supplier evaluation index includes a performance index, the first generating module may include:
the data calculation sub-module is used for calculating the performance rate and the delivery timeliness rate according to the target data;
a third rule obtaining sub-module for obtaining a preset fulfillment output rule;
the data generation sub-module is used for generating output data corresponding to the preset fulfillment output rule according to the fulfillment rate, the delivery timeliness rate and the target data;
and the fourth generation submodule is used for taking the output data as a supplier analysis result corresponding to the performance condition index.
In this embodiment, the supplier is comprehensively analyzed based on a big data means, the business activities of the supplier are comprehensively analyzed in ten aspects of a basic information index, a transaction ranking index, a performance condition index, a product quality index, a compliance transaction index, a price index, a transaction settlement index, a share right relation index, a major illegal record condition index and a social evaluation index, and the analysis result is displayed.
Optionally, an embodiment of the present invention further provides an evaluation apparatus for a supplier, where the evaluation apparatus for a supplier includes a processor and a memory, the data obtaining module, the data determining module, the first generating module, the second generating module, and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, supplier analysis results under multiple dimensions can be obtained by adjusting kernel parameters, so that when an enterprise selects a strategic supplier, the enterprise can evaluate the supplier from different dimensions, and the selected supplier can better meet enterprise standards.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, the program implementing the evaluation method of the supplier when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the evaluation method of a supplier is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps:
a supplier evaluation method, comprising:
acquiring supplier data related to the supplier identification information;
determining target data corresponding to each supplier evaluation index from the supplier data, wherein the supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions;
for each supplier evaluation index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index;
and generating a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index.
Further, after acquiring the supplier data having a relationship with the supplier identification information, the method further includes:
carrying out data cleaning and classification on the supplier data to obtain various data with different preset categories;
correspondingly, determining target data corresponding to each supplier evaluation index from the supplier data comprises the following steps:
determining target data corresponding to each supplier evaluation index from a plurality of kinds of data with different preset categories according to the corresponding relation between the supplier evaluation index and the preset category;
and taking the determined target data as target data corresponding to the corresponding supplier evaluation index.
Further, the supplier evaluation index includes at least one of a basic information index, a transaction ranking index, a performance condition index, a product quality index, a compliance transaction index, a price index, a transaction settlement index, a share right relation index, a major illegal recording condition index and a social evaluation index.
Further, if the supplier evaluation index includes a basic information index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
determining supplier basic information from the target data; the basic information of the supplier comprises field content corresponding to a preset field, and the basic information index corresponds to the basic information of the supplier;
and generating a supplier analysis result corresponding to the basic information index according to the supplier basic information.
Further, if the supplier evaluation index includes a transaction ranking index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
acquiring a preset transaction ranking rule;
and processing the target data based on the preset transaction ranking rule to obtain a supplier analysis result corresponding to the transaction ranking index.
Further, if the supplier evaluation index includes a performance status index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
calculating a performance rate and a delivery timeliness rate according to the target data;
acquiring a preset fulfillment output rule;
generating output data corresponding to the preset fulfillment output rule according to the fulfillment rate, the delivery timeliness rate and the target data;
and taking the output data as a supplier analysis result corresponding to the performance condition index.
Further, for each supplier evaluation index, generating a supplier analysis result corresponding to the supplier evaluation index based on the target data corresponding to the supplier evaluation index, including:
aiming at each supplier evaluation index, acquiring an index analysis rule corresponding to each supplier evaluation index based on a pre-established corresponding relation between the supplier evaluation index and the index analysis rule;
and analyzing the target data corresponding to each supplier evaluation index based on the index analysis rule to obtain a supplier analysis result corresponding to the supplier evaluation index.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
a supplier evaluation method, comprising:
acquiring supplier data related to the supplier identification information;
determining target data corresponding to each supplier evaluation index from the supplier data, wherein the supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions;
for each supplier evaluation index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index;
and generating a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index.
Further, after acquiring the supplier data having a relationship with the supplier identification information, the method further includes:
carrying out data cleaning and classification on the supplier data to obtain various data with different preset categories;
correspondingly, determining target data corresponding to each supplier evaluation index from the supplier data comprises the following steps:
determining target data corresponding to each supplier evaluation index from a plurality of kinds of data with different preset categories according to the corresponding relation between the supplier evaluation index and the preset category;
and taking the determined target data as target data corresponding to the corresponding supplier evaluation index.
Further, the supplier evaluation index includes at least one of a basic information index, a transaction ranking index, a performance condition index, a product quality index, a compliance transaction index, a price index, a transaction settlement index, a share right relation index, a major illegal recording condition index and a social evaluation index.
Further, if the supplier evaluation index includes a basic information index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
determining supplier basic information from the target data; the basic information of the supplier comprises field content corresponding to a preset field, and the basic information index corresponds to the basic information of the supplier;
and generating a supplier analysis result corresponding to the basic information index according to the supplier basic information.
Further, if the supplier evaluation index includes a transaction ranking index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
acquiring a preset transaction ranking rule;
and processing the target data based on the preset transaction ranking rule to obtain a supplier analysis result corresponding to the transaction ranking index.
Further, if the supplier evaluation index includes a performance status index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index, including:
calculating a performance rate and a delivery timeliness rate according to the target data;
acquiring a preset fulfillment output rule;
generating output data corresponding to the preset fulfillment output rule according to the fulfillment rate, the delivery timeliness rate and the target data;
and taking the output data as a supplier analysis result corresponding to the performance condition index.
Further, for each supplier evaluation index, generating a supplier analysis result corresponding to the supplier evaluation index based on the target data corresponding to the supplier evaluation index, including:
aiming at each supplier evaluation index, acquiring an index analysis rule corresponding to each supplier evaluation index based on a pre-established corresponding relation between the supplier evaluation index and the index analysis rule;
and analyzing the target data corresponding to each supplier evaluation index based on the index analysis rule to obtain a supplier analysis result corresponding to the supplier evaluation index.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A supplier evaluation method, comprising:
acquiring supplier data related to the supplier identification information;
determining target data corresponding to each supplier evaluation index from the supplier data, wherein the supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions;
for each supplier evaluation index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index;
and generating a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index.
2. The generation method according to claim 1, wherein, after acquiring the vendor data having a relationship with the vendor identification information, further comprising:
carrying out data cleaning and classification on the supplier data to obtain various data with different preset categories;
correspondingly, determining target data corresponding to each supplier evaluation index from the supplier data comprises the following steps:
determining target data corresponding to each supplier evaluation index from a plurality of kinds of data with different preset categories according to the corresponding relation between the supplier evaluation index and the preset category;
and taking the determined target data as target data corresponding to the corresponding supplier evaluation index.
3. The generation method of claim 1, wherein the supplier evaluation index includes at least one of a basic information index, a transaction ranking index, a performance status index, a product quality index, a compliance transaction index, a price index, a transaction settlement index, a equity relationship index, a major illegal recording status index, and a social evaluation index.
4. The method according to claim 3, wherein if the supplier evaluation index includes a basic information index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index includes:
determining supplier basic information from the target data; the basic information of the supplier comprises field content corresponding to a preset field, and the basic information index corresponds to the basic information of the supplier;
and generating a supplier analysis result corresponding to the basic information index according to the supplier basic information.
5. The method according to claim 3, wherein if the supplier evaluation index includes a transaction ranking index, generating a supplier analysis result corresponding to the supplier evaluation index based on the target data corresponding to the supplier evaluation index comprises:
acquiring a preset transaction ranking rule;
and processing the target data based on the preset transaction ranking rule to obtain a supplier analysis result corresponding to the transaction ranking index.
6. The method of claim 3, wherein if the supplier evaluation index includes a performance index, generating a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index comprises:
calculating a performance rate and a delivery timeliness rate according to the target data;
acquiring a preset fulfillment output rule;
generating output data corresponding to the preset fulfillment output rule according to the fulfillment rate, the delivery timeliness rate and the target data;
and taking the output data as a supplier analysis result corresponding to the performance condition index.
7. The generation method according to claim 1, wherein generating, for each supplier evaluation index, a supplier analysis result corresponding to the supplier evaluation index based on target data corresponding to the supplier evaluation index comprises:
aiming at each supplier evaluation index, acquiring an index analysis rule corresponding to each supplier evaluation index based on a pre-established corresponding relation between the supplier evaluation index and the index analysis rule;
and analyzing the target data corresponding to each supplier evaluation index based on the index analysis rule to obtain a supplier analysis result corresponding to the supplier evaluation index.
8. An evaluation device for a supplier, comprising:
a data acquisition module for acquiring supplier data having a relationship with the supplier identification information;
the data determining module is used for determining target data corresponding to each supplier evaluation index from the supplier data, the supplier evaluation indexes are stored in a pre-constructed evaluation index set, and the evaluation index set comprises the supplier evaluation indexes under different dimensions;
the first generation module is used for generating a supplier analysis result corresponding to each supplier evaluation index based on target data corresponding to the supplier evaluation index;
and the second generation module is used for generating a supplier analysis result set based on the supplier analysis result corresponding to each supplier evaluation index.
9. A storage medium characterized by comprising a stored program, wherein the program executes the evaluation method of a supplier according to any one of claims 1 to 7.
10. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the supplier evaluation method of any one of claims 1 to 7.
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| CN113762819A (en) * | 2020-06-18 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Channel scheduling method and device |
| CN112163625A (en) * | 2020-10-06 | 2021-01-01 | 翁海坤 | Big data mining method based on artificial intelligence and cloud computing and cloud service center |
| CN112561293A (en) * | 2020-12-08 | 2021-03-26 | 爱信诺征信有限公司 | System and electronic equipment for evaluating suppliers by buyers |
| CN112418710A (en) * | 2020-12-09 | 2021-02-26 | 遵义师范学院 | Evaluation optimization system for emergency logistics suppliers |
| CN112560952A (en) * | 2020-12-16 | 2021-03-26 | 珠海格力电器股份有限公司 | Supplier assessment method and device, electronic equipment and storage medium |
| CN113283880A (en) * | 2021-06-22 | 2021-08-20 | 新奥数能科技有限公司 | Method and device for acquiring agent operation and maintenance quotient by sub-enterprise |
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