CN117436995B - Digital supply chain purchasing transaction platform and method - Google Patents

Digital supply chain purchasing transaction platform and method Download PDF

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CN117436995B
CN117436995B CN202311759021.7A CN202311759021A CN117436995B CN 117436995 B CN117436995 B CN 117436995B CN 202311759021 A CN202311759021 A CN 202311759021A CN 117436995 B CN117436995 B CN 117436995B
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CN117436995A (en
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吴园
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Yunong Zhihui Chengdu Agricultural Science And Technology Development Group Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/0611—Request for offers or quotes
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract

The invention discloses a digital supply chain purchasing transaction platform and a method, wherein the digital supply chain purchasing transaction platform comprises a producer module, a supplier module and a purchasing manufacturer module; the manufacturer module comprises a product raw material module, a product processing module and a product storage module; the buyer module comprises a purchasing demand module, a quality inspection module, a payment module and a credit evaluation module; the provider module includes a bid module and a commission module. The data processing method comprises the following steps: s1: inputting purchasing information of the product; s2: matching the optimal suppliers for the buyers; s3: matching the supplier with the optimal manufacturer; s4: credit assessment grading is performed for the vendor. The scheme provides a sharing platform for the buyer, the supplier and the production. Cost of developing and managing suppliers and manufacturers of purchasing parties can be effectively reduced, labor cost is reduced, and purchasing and production behaviors are transparently managed.

Description

Digital supply chain purchasing transaction platform and method
Technical Field
The invention relates to the field of supply chains, in particular to a digital supply chain purchasing transaction platform and method.
Background
The manufacturer, the supplier and the buyer are important components forming a complete supply chain, the supply chain is an important channel for dredging the three, after the product is produced, the product is conveyed, and finally the product is supplied to the buyer through a sales channel of the supplier, and the system belongs to an operation mode integrating production and sales. Most of the existing supply chains are suppliers developed independently through purchasing parties, the suppliers go to development manufacturers independently, a complete supply chain cannot be formed, reasonable management and communication of the supply chains cannot be achieved, labor cost and development cost are high, the number and quality of the suppliers are limited, great burden is always caused to purchasing behaviors of enterprises, and purchasing and production processes are not transparent; the raw materials, the production and the storage process are not clear, and great barriers and restrictions are provided for the accuracy and timeliness of quotations of buyers, suppliers and manufacturers.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a digital supply chain purchasing transaction platform and a digital supply chain purchasing transaction method, which provide a unified and transparent purchasing transaction platform for buyers, suppliers and manufacturers, reduce the labor cost of each link and realize transparent management on purchasing behavior.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
providing a digital supply chain purchasing transaction platform, which comprises a producer module, a supplier module and a purchasing module;
the manufacturer module comprises a product raw material module, a product processing module and a product storage module; the product raw material module collects parameters of raw materials, the product processing module collects processing parameters of a product in a product processing process, and the product storage module collects storage parameters of the product in a product storage and transportation process;
the buyer module comprises a purchasing demand module, a quality inspection module, a payment module and a credit evaluation module; the purchasing demand module inputs purchasing information of a purchasing company and generates purchasing coefficients related to the purchasing information; the quality inspection module is used for detecting the quality of the purchased product and generating a quality inspection coefficient; the payment module is used for paying purchase money to the provider and invoicing; the credit evaluation module is used for carrying out credit evaluation grading on the suppliers;
the supplier module comprises a quotation module and a commission module, wherein the quotation module is used for quoting products, and the commission module is used for making commission proportion for sales personnel;
the purchasing module provides purchasing information of the product, and a provider is matched for the purchasing company through the purchasing matching module; the suppliers provide product information, and the optimal manufacturers are matched for the suppliers through the demand matching module.
The data processing method of the digital supply chain purchasing transaction platform comprises the following steps:
s1: the purchasing information of the product is input by the purchasing manufacturer through the purchasing demand module, and the purchasing information comprises the name, model, product size, product quotation and purchasing quantity of the product;
s2: according to the purchasing information provided by the purchasing manufacturer, calculating the purchasing coefficient of the purchasing manufacturerY 1 And screening suppliers capable of providing the products with the model numbers, and calculating the coefficients of the suppliersY 2 Comprehensive purchasing coefficientY 1 Coefficient with suppliersY 2 Matching the optimal suppliers for the buyers;
s3: after the buyer and the provider are successfully matched, the provider combines the formulated commission proportion according to the product quotation, the purchase quantity and the product size of the buyerMatching the optimal manufacturer;
s4: the manufacturer produces the product according to the product name, model, purchase quantity and product size provided by the supplier, and uploads the raw material parameters, processing parameters and storage parameters of the product from production to transportation to the quality inspection module, so that credit evaluation grading is carried out for the supplier.
Further, step S2 includes:
s21: screening suppliers according to the names and the models of the products, and taking the suppliers sold by the models of the products as target suppliers to form a target supplier set;
s22: utilizing product offers within purchase informationAQuantity of purchaseBAnd product sizeCCalculating purchasing coefficient of productY 1 ：
；
Wherein,minimum price for market-allowed products, +.>For the lowest number of purchases allowed by the provider,Cfor the size of the product required by the buyer,a、b、cthe influence weights of the product quotation, the purchase quantity and the product size of the buyer on the purchase coefficient are respectively given;
s23: traversing each supplier in the target supplier set, and extracting sales quotations for each supplier to sell the model productStock->And product size->The method comprises the steps of carrying out a first treatment on the surface of the According to sales quotation->Stock->And product size->Calculating a vendor coefficient for a vendorY 2 ：
；
Wherein,、/>、/>influence weights of sales quotation, stock quantity and product size of the suppliers on the supplier coefficients respectively;
s24: calculating the corresponding supplier coefficient of each supplier in the target supplier setY 2 And willAll the supplier coefficients obtainedY 2 Sequentially sorting from small to large to obtain a supplier coefficient set，/>；mFor the number of suppliers in the target supplier set, +.>Is the maximum value of the vendor coefficients;
s25: will be maximumThe corresponding supplier is used as the supplier which is most matched with the buyer, and the purchasing coefficient of the buyer is calculatedY 1 Sending the data to the best matched suppliers, and setting a purchasing coefficient threshold acceptable to the suppliersY 1 threshold value The method comprises the steps of carrying out a first treatment on the surface of the Will purchase coefficientY 1 And purchase coefficient thresholdY 1 threshold value Comparison is performed:
if it isY 1 ≥Y 1 threshold value Judging that the buyer meets the sales requirement of the supplier, successfully matching the buyer with the supplier, and entering step S3;
if it isY 1 ＜Y 1 threshold value Judging that the buyer does not meet the sales requirement of the supplier, and if the buyer is unsuccessful in matching with the supplier, entering step S26;
s26: returning to step S25, the supplier coefficients are calculatedThe corresponding supplier is used as the supplier which is most matched with the buyer;
s27: repeating steps S25-S26, traversing the supplier coefficient set from large to smallThe process proceeds to step S3 until the buyer matches the optimal supplier.
Further, step S3 includes:
s31: after matching the optimal supplier, the supplier obtains the product quotation of the buyerAQuantity of purchaseBAnd product sizeCIn combination with the formulated commission proportionCalculating the offer of the supplier to the producer +.>：
；
Wherein,cost price for the manufacturer to produce the product, +.>The minimum throughput required by the manufacturer is that,ηthe purchase quantity B provided for the supplier is lower than the minimum throughput +.>Premium coefficient of time,/->Profit value for the manufacturer;
s32: the suppliers send the required product names, model numbers and purchase numbers to all manufacturers through the demand matching moduleBAnd product sizeCThe method comprises the steps of carrying out a first treatment on the surface of the The manufacturer evaluates whether the requirements provided by the supplier can be completed according to the productivity of the manufacturer, if so, the manufacturer responds and gives the quotation of the manufacturer of the productDOtherwise, no response is made;
s33: taking the responding manufacturer as a spare manufacturer set of suppliers, and extracting the quotation of each manufacturer in the spare manufacturer setDAnd ordering from small to large，/>，nCentralizing the number of producers for the preparation of the producer, +.>To quoteDMaximum value of>To quoteDIs the minimum of (2);
s34: will quoteAnd->Comparison is performed:
if it is＜/>If the quotation of the manufacturer is too high, returning to the step S1, and the buyer re-quoting the product to raise the quotation of the product;
if it is≥/>Judging that the quotation of the producer is proper, and +.>The corresponding manufacturer is the manufacturer that best matches the supplier, and the manufacturer successfully matches the supplier.
Further, step S4 includes:
s41: the manufacturer with successful matching is based on the product name, model and purchase quantity provided by the supplierBAnd product sizeCProducing the product, uploading raw material parameters of the product from production to transportation to a quality inspection module,Processing parameters and storage parameters, the raw material parameters includingThe processing parameters include->The storage parameters include->The method comprises the steps of carrying out a first treatment on the surface of the Wherein (1)>Is the firstuThe parameters of the seed raw materials are changed,ufor the number of raw material parameters>Is the firstvThe processing parameters of the seeds are changed,vin order to achieve a number of processing parameters,is the firstwThe parameters are stored in a seed storage device,wfor the number of stored parameters;
s42: setting a reference threshold value for each raw material parameterReference threshold value for each processing parameter +.>And a reference threshold value for each storage parameter +.>Calculating quality control coefficient of product produced by manufacturerK：
；
Wherein,、/>、/>the influence coefficients of raw material parameters, processing parameters and storage parameters on the product quality are respectively,is->Seed material parameters (I.E.)>For the number of raw material parameters->Is->Seed processing parameters (I.E.)>For the number of the processing parameters,is->Seed storage parameters (F.M.)>Number for storing parameters;
s43: quality control coefficientKQuality control coefficient threshold allowed by buyerK Threshold value Comparison is performed:
if it isK≤K Threshold value The batch of purchased products meets the requirements and the credit of the supplier is evaluated as good;
if it isK＜K Threshold value The purchased product is not satisfactory and the supplier's credit is rated as poor.
The beneficial effects of the invention are as follows: the scheme provides a sharing platform for the buyer, the supplier and the production. Cost of developing and managing suppliers and manufacturers of purchasing parties can be effectively reduced, labor cost is reduced, and purchasing and production behaviors are transparently managed; meanwhile, the cost of developing clients and operation is reduced for the suppliers, fairness, timeliness and effectiveness of quotations of all parties are achieved, and purchasing efficiency is improved through data sharing. According to quotation and product demand of each party on the product, matching the optimal suppliers for the buyers, matching the optimal suppliers for the suppliers, performing accurate matching by utilizing data, avoiding influence of external human factors, performing quality evaluation on the product produced by the manufacturers, performing credit evaluation grading on the suppliers, and providing reference for subsequent cooperation and purchase.
Drawings
FIG. 1 is a functional block diagram of a digital supply chain procurement transaction platform.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
As shown in fig. 1, the digital supply chain purchase transaction platform of the present solution includes a manufacturer module, a supplier module, and a buyer module.
The manufacturer module comprises a product raw material module, a product processing module and a product storage module; the product raw material module collects parameters of raw materials, the product processing module collects processing parameters of a product processing process, and the product storage module collects storage parameters of the product in the process of storage and transportation.
The buyer module comprises a purchasing demand module, a quality inspection module, a payment module and a credit evaluation module; the purchasing demand module inputs purchasing information of a purchasing company and generates purchasing coefficients related to the purchasing information; the quality inspection module is used for detecting the quality of the purchased product and generating a quality inspection coefficient; the payment module is used for paying purchase money to the provider and invoicing; the credit assessment module is used for carrying out credit assessment grading on the suppliers.
The provider module includes a quotation module that quotes products and a commission module for making a commission proportion for sales personnel.
The purchasing module provides purchasing information of the product, and a provider is matched for the purchasing company through the purchasing matching module; the suppliers provide product information, and the optimal manufacturers are matched for the suppliers through the demand matching module.
The data processing method of the digital supply chain purchasing transaction platform comprises the following steps:
s1: the purchasing information of the product is input by the purchasing manufacturer through the purchasing demand module, and the purchasing information comprises the name, model, product size, product quotation and purchasing quantity of the product;
s2: according to the purchasing information provided by the purchasing manufacturer, calculating the purchasing coefficient of the purchasing manufacturerY 1 And screening suppliers capable of providing the products with the model numbers, and calculating the coefficients of the suppliersY 2 Comprehensive purchasing coefficientY 1 Coefficient with suppliersY 2 Matching the optimal suppliers for the buyers;
the step S2 comprises the following steps:
s21: screening suppliers according to the names and the models of the products, and taking the suppliers sold by the models of the products as target suppliers to form a target supplier set;
s22: utilizing product offers within purchase informationAQuantity of purchaseBAnd product sizeCCalculating purchasing coefficient of productY 1 ：
；
Wherein,minimum price for market-allowed products, +.>For providingThe lowest purchase quantity allowed by the carrier,Cfor the size of the product required by the buyer,a、b、cthe influence weights of the product quotation, the purchase quantity and the product size of the buyer on the purchase coefficient are respectively given;
calculated purchase coefficientY 1 For subsequent matching of suppliers, a reference is provided for the suppliers, in this embodiment, the higher the price of the buyer is than the minimum price of the product allowed by the field, the more advantageous the suppliers are, the higher the profit margin of the suppliers, the more the number of purchases the buyer has, the higher the profit of the suppliers are, and the closer the product size is to the standard size, the lower the difficulty of the manufacturers is, the lower the price of the manufacturers is likely to be, and the higher the profit margin of the suppliers is. Therefore, purchasing coefficientY 1 The higher the benefit to the vendor.
S23: traversing each supplier in the target supplier set, and extracting sales quotations for each supplier to sell the model productStock->And product size->The method comprises the steps of carrying out a first treatment on the surface of the According to sales quotation->Stock->And product size->Calculating a vendor coefficient for a vendorY 2 ：
；
Wherein,、/>、/>influence weights of sales quotation, stock quantity and product size of the suppliers on the supplier coefficients respectively;
calculated vendor coefficientsY 2 The method is used for providing references for matching suppliers to the suppliers, in the embodiment, the lower the quotation of the suppliers is, the more the suppliers are beneficial to the suppliers, the larger the stock quantity of the suppliers is, the more the suppliers are selected, the more good-quality products are easily selected by the suppliers, and the smaller the errors between the sizes of the products provided by the suppliers and the sizes of the products required by the suppliers are, the more beneficial to the suppliers. So, for the buyer, the vendor coefficientsY 2 The larger is more advantageous to the buyer.
S24: calculating the corresponding supplier coefficient of each supplier in the target supplier setY 2 And to obtain all the supplier coefficientsY 2 Sequentially sorting from small to large to obtain a supplier coefficient set，/>；mFor the number of suppliers in the target supplier set, +.>Is the maximum value of the vendor coefficients;
s25: will be maximumThe corresponding supplier is used as the supplier which is most matched with the buyer, and the purchasing coefficient of the buyer is calculatedY 1 Sending the data to the best matched suppliers, and setting a purchasing coefficient threshold acceptable to the suppliersY 1 threshold value The method comprises the steps of carrying out a first treatment on the surface of the Will purchase coefficientY 1 And purchase coefficient thresholdY 1 threshold value Comparison is performed:
if it isY 1 ≥Y 1 threshold value Judging that the buyer meets the sales requirement of the supplier, successfully matching the buyer with the supplier, and entering step S3;
if it isY 1 ＜Y 1 threshold value Judging that the buyer does not meet the sales requirement of the supplier, and if the buyer is unsuccessful in matching with the supplier, entering step S26;
s26: returning to step S25, the supplier coefficients are calculatedThe corresponding supplier is used as the supplier which is most matched with the buyer;
s27: repeating steps S25-S26, traversing the supplier coefficient set from large to smallThe process proceeds to step S3 until the buyer matches the optimal supplier.
S3: after the buyer and the provider are successfully matched, the provider combines the formulated commission proportion according to the product quotation, the purchase quantity and the product size of the buyerMatching the optimal manufacturer;
the step S3 comprises the following steps:
s31: after matching the optimal supplier, the supplier obtains the product quotation of the buyerAQuantity of purchaseBAnd product sizeCIn combination with the formulated commission proportionCalculating the offer of the supplier to the producer +.>：
；
Wherein,cost price for the manufacturer to produce the product, +.>The minimum throughput required by the manufacturer is that,ηthe purchase quantity B provided for the supplier is lower than the minimum throughput +.>Premium coefficient of time,/->Profit value for the manufacturer;
s32: the suppliers send the required product names, model numbers and purchase numbers to all manufacturers through the demand matching moduleBAnd product sizeCThe method comprises the steps of carrying out a first treatment on the surface of the The manufacturer evaluates whether the requirements provided by the supplier can be completed according to the productivity of the manufacturer, if so, the manufacturer responds and gives the quotation of the manufacturer of the productDOtherwise, no response is made; the productivity evaluation is carried out by the manufacturer by self, so that the manufacturer can be ensured to produce the product meeting the requirements, and the self-quotation is carried out.
S33: taking the responding manufacturer as a spare manufacturer set of suppliers, and extracting the quotation of each manufacturer in the spare manufacturer setDAnd ordering from small to large，/>，nCentralizing the number of producers for the preparation of the producer, +.>To quoteDMaximum value of>To quoteDIs the minimum of (2);
s34: will quoteAnd->Comparison is performed:
if it is＜/>If the quotation of the manufacturer is too high, none of the manufacturers can produce, the step S1 is returned, the buyer again quotes the product, the product quotation is raised, and the profits of both the suppliers and the manufacturers are ensured;
if it is≥/>Judging that the quotation of the producer is proper, and +.>The corresponding manufacturer is the manufacturer that best matches the supplier, and the manufacturer successfully matches the supplier.
S4: the manufacturer produces the product according to the product name, model, purchase quantity and product size provided by the supplier, and uploads the raw material parameters, processing parameters and storage parameters of the product from production to transportation to the quality inspection module, so that credit evaluation grading is carried out for the supplier.
The step S4 includes:
s41: the manufacturer with successful matching is based on the product name, model and purchase quantity provided by the supplierBAnd product sizeCProducing a product, and uploading raw material parameters, processing parameters and storage parameters of the product from production to transportation to a quality inspection module, wherein the raw material parameters compriseFor example, the concentration, proportion and mass of different raw materialsThe processing parameters includeSuch as processing temperature, processing time, processing precision, etc. of processing parameters, the stored parameters includeSuch as storage temperature, humidity, and package sealing coefficient of storage parameters; wherein (1)>Is the firstuThe parameters of the seed raw materials are changed,ufor the number of raw material parameters>Is the firstvThe processing parameters of the seeds are changed,vfor the number of processing parameters>Is the firstwThe parameters are stored in a seed storage device,wfor the number of stored parameters;
s42: setting a reference threshold value for each raw material parameterReference threshold value for each processing parameter +.>And a reference threshold value for each storage parameter +.>Calculating quality control coefficient of product produced by manufacturerK：
；
Wherein,、/>、/>the influence coefficients of raw material parameters, processing parameters and storage parameters on the product quality are respectively,is->Seed material parameters (I.E.)>For the number of raw material parameters->Is->Seed processing parameters (I.E.)>For the number of the processing parameters,is->Seed storage parameters (F.M.)>Number for storing parameters;
reference threshold valueAs a reference value for each raw material parameter, a criterion for evaluating whether the raw material parameter affects the quality of the product; reference threshold->As a reference value for each processing parameter, a criterion for evaluating whether the processing parameter affects the quality of the product; reference threshold->As each ofAnd a reference value of the storage parameter for evaluating whether the storage parameter affects the product quality.
S43: quality control coefficientKQuality control coefficient threshold allowed by buyerK Threshold value Comparison is performed:
if it isK≤K Threshold value The batch of purchased products meets the requirements and the credit of the supplier is evaluated as good;
if it isK＜K Threshold value The purchased product is not satisfactory and the supplier's credit is rated as poor.
The scheme provides a sharing platform for the buyer, the supplier and the production. Cost of developing and managing suppliers and manufacturers of purchasing parties can be effectively reduced, labor cost is reduced, and purchasing and production behaviors are transparently managed; meanwhile, the cost of developing clients and operation is reduced for the suppliers, fairness, timeliness and effectiveness of quotations of all parties are achieved, and purchasing efficiency is improved through data sharing. According to quotation and product demand of each party on the product, matching the optimal suppliers for the buyers, matching the optimal suppliers for the suppliers, performing accurate matching by utilizing data, avoiding influence of external human factors, performing quality evaluation on the product produced by the manufacturers, performing credit evaluation grading on the suppliers, and providing reference for subsequent cooperation and purchase.

Claims (4)

1. The data processing method of the digital supply chain purchasing transaction platform is characterized in that the digital supply chain purchasing transaction platform comprises a producer module, a supplier module and a purchasing module;
the manufacturer module comprises a product raw material module, a product processing module and a product storage module; the product raw material module collects parameters of raw materials, the product processing module collects processing parameters of a product processing process, and the product storage module collects storage parameters of the product in the storage and transportation processes;
the buyer module comprises a purchasing demand module, a quality inspection module, a payment module and a credit evaluation module; the purchasing demand module inputs purchasing information of a purchasing manufacturer and generates purchasing coefficients related to the purchasing information; the quality inspection module is used for detecting the quality of the purchased product and generating a quality inspection coefficient; the payment module is used for paying purchase money to the provider and invoicing; the credit evaluation module is used for carrying out credit evaluation grading on the suppliers;
the provider module comprises a quotation module and a commission module, wherein the quotation module is used for quoting products, and the commission module is used for making commission proportion for sales personnel;
the purchasing module provides purchasing information of the product, and a provider is matched for the purchasing company through the purchasing matching module; the suppliers provide product information, and optimal manufacturers are matched for the suppliers through a demand matching module;
the data processing method comprises the following steps:
s1: the purchasing information of the product is input by the purchasing manufacturer through the purchasing demand module, and the purchasing information comprises the name, model, product size, product quotation and purchasing quantity of the product;
s2: according to the purchasing information provided by the purchasing manufacturer, calculating the purchasing coefficient of the purchasing manufacturerY 1 And screening suppliers capable of providing the products with the model numbers, and calculating the coefficients of the suppliersY 2 Comprehensive purchasing coefficientY 1 Coefficient with suppliersY 2 Matching the optimal suppliers for the buyers;
s3: after the buyer and the provider are successfully matched, the provider combines the formulated commission proportion according to the product quotation, the purchase quantity and the product size of the buyerMatching the optimal manufacturer;
s4: the manufacturer produces the product according to the product name, model, purchase quantity and product size provided by the supplier, and uploads the raw material parameters, processing parameters and storage parameters of the product from production to transportation to the quality inspection module, so that credit evaluation grading is carried out for the supplier.
2. The method for processing data of a digitized supply chain purchase transaction platform according to claim 1, wherein said step S2 comprises:
s21: screening suppliers according to the names and the models of the products, and taking the suppliers sold by the models of the products as target suppliers to form a target supplier set;
s22: utilizing product offers within purchase informationAQuantity of purchaseBAnd product sizeCCalculating purchasing coefficient of productY 1 ：
；
Wherein,minimum price for market-allowed products, +.>For the lowest number of purchases allowed by the provider, +.>The standard dimensions of the product are set up,a、b、cthe influence weights of the product quotation, the purchase quantity and the product size of the buyer on the purchase coefficient are respectively given;
s23: traversing each supplier in the target supplier set, and extracting sales quotations for each supplier to sell the model productStock->And product size->The method comprises the steps of carrying out a first treatment on the surface of the According to sales quotation->Stock->And product size->Calculating a vendor coefficient for a vendorY 2 ：
；
Wherein,、/>、/>influence weights of sales quotation, stock quantity and product size of the suppliers on the supplier coefficients respectively;
s24: calculating the corresponding supplier coefficient of each supplier in the target supplier setY 2 And to obtain all the supplier coefficientsY 2 Sequentially sorting from small to large to obtain a supplier coefficient set，/>；mFor the number of suppliers in the target supplier set, +.>Is the maximum value of the vendor coefficients;
s25: will be maximumThe corresponding supplier will be the supplier that best matches the buyerPurchasing coefficient of purchasing companyY 1 Sending the data to the best matched suppliers, and setting a purchasing coefficient threshold acceptable to the suppliersY 1 threshold value The method comprises the steps of carrying out a first treatment on the surface of the Will purchase coefficientY 1 And purchase coefficient thresholdY 1 threshold value Comparison is performed:
if it isY 1 ≥Y 1 threshold value Judging that the buyer meets the sales requirement of the supplier, successfully matching the buyer with the supplier, and entering step S3;
if it isY 1 ＜Y 1 threshold value Judging that the buyer does not meet the sales requirement of the supplier, and if the buyer is unsuccessful in matching with the supplier, entering step S26;
s26: returning to step S25, the supplier coefficients are calculatedThe corresponding supplier is used as the supplier which is most matched with the buyer;
s27: repeating steps S25-S26, traversing the supplier coefficient set from large to smallThe process proceeds to step S3 until the buyer matches the optimal supplier.
3. The method for processing data of a digitized supply chain purchase transaction platform according to claim 1, wherein said step S3 comprises:
s31: after matching the optimal supplier, the supplier obtains the product quotation of the buyerAQuantity of purchaseBAnd product sizeCIn combination with the formulated commission proportionCalculating the offer of the supplier to the producer +.>：
；
Wherein,cost price for the manufacturer to produce the product, +.>The minimum throughput required by the manufacturer is that,ηthe purchase quantity B provided for the supplier is lower than the minimum throughput +.>Premium coefficient of time,/->Profit value for the manufacturer;
s32: the suppliers send the required product names, model numbers and purchase numbers to all manufacturers through the demand matching moduleBAnd product sizeCThe method comprises the steps of carrying out a first treatment on the surface of the The manufacturer evaluates whether the requirements provided by the supplier can be completed according to the productivity of the manufacturer, if so, the manufacturer responds and gives the quotation of the manufacturer of the productDOtherwise, no response is made;
s33: taking the responding manufacturer as a spare manufacturer set of suppliers, and extracting the quotation of each manufacturer in the spare manufacturer setDAnd ordering from small to large，/>，nCentralizing the number of producers for the preparation of the producer, +.>To quoteDMaximum value of>To quoteDIs the minimum of (2);
s34: will quoteAnd->Comparison is performed:
if it is＜/>If the quotation of the manufacturer is too high, returning to the step S1, and the buyer re-quoting the product to raise the quotation of the product;
if it is≥/>Judging that the quotation of the producer is proper, and +.>The corresponding manufacturer is the manufacturer that best matches the supplier, and the manufacturer successfully matches the supplier.
4. The method for processing data of a digitized supply chain purchase transaction platform according to claim 1, wherein said step S4 comprises:
s41: the manufacturer with successful matching is based on the product name, model and purchase quantity provided by the supplierBAnd product sizeCProducing a product, and uploading raw material parameters, processing parameters and storage parameters of the product from production to transportation to a quality inspection module, wherein the raw material parameters compriseThe processing parameters include->The storage parameters include->The method comprises the steps of carrying out a first treatment on the surface of the Wherein,is the firstuThe parameters of the seed raw materials are changed,ufor the number of raw material parameters>Is the firstvThe processing parameters of the seeds are changed,vfor the number of processing parameters>Is the firstwThe parameters are stored in a seed storage device,wfor the number of stored parameters;
s42: setting a reference threshold value for each raw material parameterReference threshold value for each processing parameter +.>And a reference threshold value for each storage parameter +.>Calculating quality control coefficient of product produced by manufacturerK：
；
Wherein,、/>、/>the influence coefficients of the raw material parameters, the processing parameters and the storage parameters on the product quality are respectively +.>Is the firstiThe parameters of the seed raw materials are changed,ifor the number of raw material parameters->Is->Seed processing parameters (I.E.)>For the number of processing parameters>Is the firstSeed storage parameters (F.M.)>Number for storing parameters;
s43: quality control coefficientKQuality control coefficient threshold allowed by buyerK Threshold value Comparison is performed:
if it isK≤K Threshold value The batch of purchased products meets the requirements and the credit of the supplier is evaluated as good;
if it isK＜K Threshold value The purchased product is not satisfactory and the supplier's credit is rated as poor.
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