Supplier panoramic information analysis and intelligent screening method and system

Abstract

The invention discloses a supplier panoramic information analysis and intelligent screening method and system, and belongs to the technical field of data processing. According to the method, panoramic information of suppliers and demanders is obtained, a staged screening process is adopted, first suppliers meeting supply requirements are screened out based on the requirements and basic information, then expected quotation is determined in combination with fund information, and second suppliers are screened out. And further performing supply stability evaluation on the second supplier, if a preset value is met, determining a final supplier by combining the material information and the cooperation information, otherwise, performing screening according to the index priority. According to the method and the system, suppliers can be comprehensively and accurately evaluated, the supply stability is guaranteed, intelligent screening decision is realized, the purchasing efficiency and the management level are improved, and personalized requirements of demanders are met.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and more specifically, to a method and system for analyzing and intelligently screening panoramic information of suppliers. Background Art

[0002] With the complication of the global supply chain and the intensification of market competition, supplier management has become the core link for enterprises to improve operational efficiency and risk control capabilities. Traditional supplier screening methods mainly rely on manual experience and static data evaluation, and it is difficult to adapt to the dynamically changing market environment and the diversified needs of enterprises. In the prior art, some systems use clustering analysis algorithms (such as the improved k-means algorithm) to classify suppliers, but such methods usually rely on historical data, lack the ability to integrate real-time data, and have a relatively single evaluation dimension, making it difficult to comprehensively reflect the comprehensive strength of suppliers. In addition, traditional methods rely on manual intervention, with low efficiency and being easily affected by subjective factors, resulting in insufficient scientific decision-making.

[0003] In recent years, although national standards (such as GB / T23793—2017 "Specification for Credit Evaluation of Qualified Suppliers") provide a guiding framework for supplier credit evaluation, covering core indicators such as asset status, sustainable supply capacity, and transaction credit, problems such as scattered data collection and lag in dynamic updates still exist in actual applications. For example, enterprises need to manually collect information such as supplier finances and performance records regularly, and it is difficult to achieve real-time monitoring and risk warning. At the same time, the existing systems have limited ability to integrate multi-source data (such as market dynamics, industry trends, and supply chain network relationships), resulting in insufficient comprehensiveness and foresight of evaluation results.

[0004] To solve the above problems, some enterprises introduce knowledge graph technology for supply chain data mining, but existing solutions still have defects such as insufficient depth of data integration and poor adaptability of intelligent recommendation models. For example, although the supplier recommendation method based on the knowledge graph can analyze the temporal evolution relationship between nodes, it has not yet formed a mature system in dynamic constraint optimization and multi-objective optimization, and it is difficult to meet the precise decision-making needs in complex scenarios. In addition, the existing technology lacks systematic management of the post-evaluation link of suppliers and cannot effectively feedback the performance data after procurement into the screening model, resulting in the lack of closed-loop of the evaluation system.

[0005] Therefore, how to provide a panoramic information analysis system that can integrate multi-source data, achieve multi-dimensional dynamic evaluation, and automatically screen through intelligent algorithms to improve the efficiency and scientificity of supplier management is an urgent problem to be solved by those skilled in the art. Summary of the Invention

[0006] In view of this, the present invention provides a method and system for analyzing and intelligently screening the panoramic information of suppliers. By obtaining the panoramic information of suppliers and demanders and adopting a phased screening process, it can comprehensively and accurately evaluate suppliers, ensure supply stability, realize intelligent screening decisions, improve procurement efficiency and management level, and meet the personalized needs of demanders.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] On the one hand, the present invention provides a method for analyzing and intelligently screening the panoramic information of suppliers, including:

[0009] Obtain the panoramic information of the supplier and the panoramic information of the demander. The panoramic information of the supplier includes: basic information, business capabilities, financial status, risk assessment, cooperation information, quotation information, material information; the panoramic information of the demander includes: demand information, funding information, index priorities;

[0010] Preprocess the panoramic information;

[0011] Based on the demand information and the basic information, screen the suppliers that meet the supply requirements to obtain the first suppliers;

[0012] Based on the demand information and the funding information, determine the expected quotation, and based on the quotation information, screen the second suppliers that meet the expected quotation among the first suppliers;

[0013] If there are second suppliers, evaluate the supply stability of the second suppliers based on the panoramic information of the suppliers, and determine whether the stability result meets the preset value. If it meets, determine the final suppliers based on the material information and the cooperation information; if it does not meet, screen the final suppliers based on the index priorities;

[0014] If not, screen the final suppliers based on the index priorities.

[0015] Preferably, determining the expected quotation based on the demand information and the funding information specifically includes:

[0016] Obtain the target material based on the demand information;

[0017] Retrieve from the pre-constructed material price database based on the target material to obtain the guiding quotation of the target material;

[0018] Determine the expected quotation based on the funding information and the guiding quotation.

[0019] Preferably, screening the final suppliers based on the index priorities specifically includes:

[0020] Sort the first suppliers based on the stability evaluation results to obtain the first supplier sequence;

[0021] Calculate the deviation coefficient between the quotation information and the expected quotation based on the expected quotation and the quotation information, and sort the first suppliers based on the deviation coefficient to obtain the second supplier sequence;

[0022] Allocate weights to each indicator based on the indicator priority, and assign values to the supplier sequences in the first supplier sequence and the second supplier sequence respectively based on the rankings;

[0023] Perform weighted summation on each supplier to obtain the comprehensive evaluation value corresponding to each supplier;

[0024] Determine the final supplier based on the comprehensive evaluation value.

[0025] Preferably, a multi-dimensional supply stability evaluation model is constructed through a fuzzy comprehensive evaluation algorithm model based on support vector machines.

[0026] Preferably, a multi-dimensional supply stability evaluation model is constructed through a fuzzy comprehensive evaluation algorithm model based on support vector machines, specifically including:

[0027] Determine the stability evaluation indicators according to the requirements of supply stability evaluation;

[0028] Calculate the membership degrees of each stability evaluation indicator through the fuzzy comprehensive evaluation method;

[0029] Calculate the comprehensive membership degrees of stability evaluation indicators in different dimensions through Sugeno fuzzy inference;

[0030] Generate stability evaluation results through fuzzy decision-making according to the comprehensive membership degrees in different dimensions.

[0031] Preferably, determining the final supplier based on material information and cooperation information includes:

[0032] Conduct delay characteristic analysis on the suppliers respectively based on the cooperation information to determine the delay characteristic evaluation coefficients of the suppliers;

[0033] Conduct quality analysis on the suppliers respectively based on the material information to determine the quality characteristic evaluation coefficients of the suppliers;

[0034] Determine the final supplier based on the delay characteristic evaluation coefficients and the quality characteristic evaluation coefficients.

[0035] On the other hand, the present invention discloses a supplier panoramic information analysis and intelligent screening system, including:

[0036] A data acquisition unit, which is used to obtain the panoramic information of suppliers and the panoramic information of demanders. The panoramic information of the suppliers includes: basic information, business capabilities, financial status, risk assessment, cooperation information, quotation information, and material information; the panoramic information of the demanders includes: demand information, funding information, and index priorities.

[0037] A preprocessing unit, which is used to preprocess the panoramic information.

[0038] A first screening unit, which is used to screen suppliers that meet the supply requirements based on the demand information and the basic information to obtain the first suppliers.

[0039] A second screening unit, which is used to determine the expected quotation based on the demand information and the funding information, and screen the second suppliers that meet the expected quotation among the first suppliers based on the quotation information.

[0040] A determination module, which is used to, if there are second suppliers, conduct a supply stability assessment on the second suppliers based on the panoramic information of the suppliers, and determine whether the stability result meets the preset value. If it meets, determine the final suppliers based on the material information and the cooperation information; if it does not meet, screen the final suppliers based on the index priorities; if there are no second suppliers, screen the final suppliers based on the index priorities.

[0041] As can be seen from the above technical solutions, compared with the prior art, the present invention discloses a method and system for analyzing and intelligently screening the panoramic information of suppliers. First of all, through a phased screening process, combining the panoramic information of suppliers and demanders, the present invention can quickly locate suppliers that meet the conditions, significantly improve the screening efficiency, and save time and labor costs. Secondly, the comprehensively collected panoramic information and multi-dimensional evaluation indicators make the screening results more scientific and accurate, effectively avoiding decision-making mistakes caused by one-sided information and enhancing the reliability of the screening. In addition, the present invention conducts a supply stability assessment on suppliers and screens out suppliers that can supply goods stably, thereby reducing the risk of supply interruption and ensuring the smooth progress of the production and operation activities of demanders. At the same time, based on the comprehensive evaluation method of index priorities, the screening strategy can be flexibly adjusted according to the personalized needs of different demanders, improving the adaptability and satisfaction of the screening results. The present invention also adopts advanced technologies such as a fuzzy comprehensive evaluation algorithm model based on a support vector machine to realize the intelligence and automation of supplier screening, and improve the scientificity and rationality of decision-making. In addition, the constructed systematic supplier panoramic information analysis and intelligent screening system is convenient for demanders to operate and manage, improves the overall efficiency and management level of procurement work, and helps enterprises optimize supply chain management. Description of the Drawings

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on the provided drawings.

[0043] Figure 1 It is a schematic flow chart provided by the present invention.

[0044] Figure 2 It is a schematic structural diagram provided by the present invention. Detailed implementation manners

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0046] The embodiments of the present invention disclose a method for analyzing and intelligently screening the panoramic information of suppliers, as Figure 1 shown, including:

[0047] Obtain the panoramic information of suppliers and the panoramic information of demanders, where this information is collected from multiple channels (such as enterprise official websites, credit platforms, social media, transaction records, etc.); the panoramic information of suppliers includes: basic information, business capabilities, financial status, risk assessment, cooperation information, quotation information, material information; the panoramic information of demanders includes: demand information, funding information, index priorities; among them, the basic information includes supplier name, registered address, establishment time, business scope, enterprise scale, contact information, etc. The business capabilities include product types, production capacity, technical strength, industry experience, market coverage, etc. The financial status includes balance sheets, income statements, cash flow conditions, debt repayment capabilities, profitability, etc. The risk assessment includes historical default records, credit ratings, legal disputes, industry risks, etc. The cooperation information includes historical cooperation records, performance rates, customer evaluations, cooperation stability, etc. The quotation information includes product unit prices, total prices, discount conditions, delivery cycles, etc. The material information includes raw material sources, quality standards, environmental certifications, etc. The demand information includes required product specifications, quantities, delivery times, quality requirements, etc. The funding information includes total budgets, acceptable quotation ranges, payment conditions, etc. The index priorities include the priority rankings of demanders for indicators such as quality, price, delivery time, after-sales service, etc.

[0048] Preprocess the panoramic information, specifically including: data cleaning, data standardization, outlier handling: identifying and handling data that significantly deviates from the normal range, missing value handling, data integration, etc.

[0049] Based on the demand information and basic information, screen suppliers that meet the supply requirements to obtain the first suppliers; this step belongs to basic screening, mainly used to screen out suppliers that meet the supply requirements. Taking the procurement of a specific model of electronic product as an example, this step mainly screens the product catalogs of suppliers and screens out suppliers with the qualification to produce or sell this product.

[0050] Based on the demand information and funding information, determine the expected price, and based on the price information, screen the second suppliers that meet the expected price among the first suppliers;

[0051] If there are second suppliers, evaluate the supply stability of the second suppliers based on the panoramic information of the suppliers, and judge whether the stability result meets the preset value. If it meets, determine the final suppliers based on the material information and cooperation information; if it does not meet, screen the final suppliers based on the index priorities;

[0052] If not, screen the final suppliers based on the index priorities.

[0053] Furthermore, based on the demand information and funding information, determine the expected price, specifically including:

[0054] Obtain the target materials based on the demand information; the demand information includes product specifications, performance, quality standards, and uses. According to the specifications, performance, quality standards, etc. in the demand information, determine the specific types and models of materials required.

[0055] Retrieve from the pre-constructed material price database based on the target materials to obtain the guiding price of the target materials; specifically including: extracting the current price of the target materials from the database as the guiding price. The guiding price should include unit price, total price (calculated according to the required quantity), possible discount conditions, etc. Further, if there are quotes from multiple suppliers in the database, the lowest price or average price can be selected as the guiding price.

[0056] Determine the expected price based on the funding information and the guiding price. Specifically, if the guiding price is lower than the budget, the guiding price can be used as a reference for the expected price; if the guiding price is higher than the budget, the expected price needs to be adjusted according to the budget.

[0057] In another embodiment, screen the final suppliers based on the index priorities, specifically including:

[0058] Rank the first suppliers based on the stability assessment results to obtain the first supplier sequence. Specifically, use a multi-dimensional supply stability assessment model to comprehensively evaluate the suppliers within the first supplier set. This assessment model generates the stability assessment results of each supplier from multiple dimensions such as production and operation stability, supply chain reliability, financial condition robustness, and risk information by means of a fuzzy comprehensive evaluation algorithm based on support vector machines. Taking the production and operation stability dimension as an example, key indicators such as the equipment failure rate and production capacity utilization rate of the supplier are examined; in the supply chain reliability dimension, the focus is on the diversification degree of the supplier's raw material supply channels and the on-time rate of the transportation link. According to the assessment results, rank the first suppliers in descending or ascending order to form the first supplier sequence. Suppliers with outstanding stability performance are ranked at the front of the sequence to intuitively reflect the differences in supply stability among suppliers.

[0059] Calculate the deviation coefficient between the quotation information and the expected quotation based on the expected quotation and the quotation information, and rank the first suppliers based on the deviation coefficient to obtain the second supplier sequence.

[0060] Allocate weights to each indicator based on the indicator priority, and assign values to the supplier sequences in the first supplier sequence and the second supplier sequence respectively based on the rankings. Referring to the indicator priority preset by the demander, reasonably allocate the weights of the two key indicators of supply stability and quotation deviation. If the demander places more emphasis on supply stability, the weight of the supply stability indicator can be set at 70%, and the weight of the quotation deviation indicator at 30%; conversely, if more attention is paid to the quotation, the weight allocation is adjusted accordingly. For the first supplier sequence and the second supplier sequence, assign values to the suppliers according to their rankings in their respective sequences. For example, the supplier ranked first in the first supplier sequence is assigned 10 points for the supply stability indicator, the second-ranked is assigned 8 points, and so on for subsequent rankings; in the second supplier sequence, values are also assigned to the suppliers for the quotation deviation indicator according to the rankings.

[0061] After performing weighted summation for each supplier, obtain the comprehensive evaluation value corresponding to each supplier. For each supplier, multiply the value assigned to it for the supply stability indicator by the weight of the supply stability indicator, add the value assigned to it for the quotation deviation indicator multiplied by the weight of the quotation deviation indicator, and obtain the comprehensive evaluation value of the supplier through weighted summation.

[0062] Determine the final supplier based on the comprehensive evaluation value. Compare the comprehensive evaluation values of all suppliers, select the supplier with the highest comprehensive evaluation value, and determine it as the final supplier to ensure that the selected supplier can meet the requirements of the demander to the greatest extent in terms of supply stability and quotation reasonableness.

[0063] In another embodiment, a multi-dimensional supply stability evaluation model is constructed through a fuzzy comprehensive evaluation algorithm model based on a support vector machine.

[0064] Furthermore, constructing a multi-dimensional supply stability evaluation model through a fuzzy comprehensive evaluation algorithm model based on a support vector machine specifically includes:

[0065] According to the requirements of supply stability evaluation, determine the stability evaluation indicators.

[0066] Calculate the membership degrees of each stability evaluation indicator through the fuzzy comprehensive evaluation method.

[0067] Calculate the comprehensive membership degrees of stability evaluation indicators in different dimensions through Sugeno fuzzy inference, specifically including:

[0068] Determine the rule base: According to expert experience and actual situations, formulate a series of fuzzy rules.

[0069] Fuzzify the input: Take the membership degrees of each evaluation indicator as the input, and through fuzzification processing, convert them into fuzzy sets.

[0070] Rule inference: According to the rule base, perform inference on the fuzzified input to obtain the output results of each rule.

[0071] Defuzzify: Synthesize the output results of all rules, and obtain the comprehensive membership degrees of stability evaluation indicators in different dimensions through a defuzzification method (such as the centroid method).

[0072] Generate a stability evaluation result through fuzzy decision-making according to the comprehensive membership degrees in different dimensions. The maximum membership degree method, weighted average method, etc. can be used for fuzzy decision-making. Taking the maximum membership degree method as an example, if the comprehensive membership degrees of the production capacity dimension, supply chain dimension, and financial status dimension are respectively (0.2, 0.3, 0.4, 0.1, 0), (0.1, 0.4, 0.3, 0.2, 0), and (0.3, 0.5, 0.2, 0, 0), using the maximum membership degree method and comprehensively considering each dimension, the stability evaluation result of this supplier is "stable".

[0073] In another embodiment, determine the final supplier based on material information and cooperation information, including:

[0074] Based on the cooperation information, conduct a deferred feature analysis on each supplier respectively to determine the deferred feature evaluation coefficient of the supplier; the quantitative analysis of the deferred situation specifically includes:

[0075] Calculate the delay duration for each order, which is the difference between the actual delivery time and the agreed delivery time. Count the number of delayed orders of the supplier within a certain period (such as the past year) and the proportion of delayed orders in the total number of orders. For example, among the past 100 orders of a certain supplier, 10 orders were delayed, so the proportion of delayed orders is 10%.

[0076] Calculation of the delay feature evaluation coefficient: Considering both the delay duration and the proportion of delayed orders comprehensively, formulate a scientific and reasonable evaluation formula to calculate the delay feature evaluation coefficient. Different weights can be assigned to the delay duration and the proportion of delayed orders respectively. For example, the weight of the delay duration is 0.6, and the weight of the proportion of delayed orders is 0.4. Suppose the average delay duration of a certain supplier is 3 days (full score is 10 days, corresponding coefficient is 0.3), and the proportion of delayed orders is 10% (full score is 100%, corresponding coefficient is 0.1), then the delay feature evaluation coefficient of this supplier is 0.3×0.6 + 0.1×0.4 = 0.22. The lower the coefficient, the less serious the delay situation of the supplier and the stronger the ability to deliver on time.

[0077] Conduct quality analysis on the suppliers respectively based on the material information to determine the quality feature evaluation coefficient of the suppliers;

[0078] Determine the final suppliers based on the delay feature evaluation coefficient and the quality feature evaluation coefficient.

[0079] As Figure 2 shown, the present invention discloses a supplier panoramic information analysis and intelligent screening system, including:

[0080] A data acquisition unit for obtaining the panoramic information of the suppliers and the panoramic information of the demanders. The panoramic information of the suppliers includes: basic information, business capabilities, financial status, risk assessment, cooperation information, quotation information, material information; the panoramic information of the demanders includes: demand information, funding information, index priorities;

[0081] A preprocessing unit for preprocessing the panoramic information;

[0082] A first screening unit for screening the suppliers that meet the supply requirements based on the demand information and the basic information to obtain the first suppliers;

[0083] A second screening unit for determining the expected quotation based on the demand information and the funding information, and screening the second suppliers that meet the expected quotation among the first suppliers based on the quotation information;

[0084] A determination module is configured to, if there is a second supplier, evaluate the supply stability of the second supplier based on the panoramic information of the suppliers, and determine whether the stability result meets a preset value. If it meets, determine the final supplier based on the material information and cooperation information; if it does not meet, screen the final supplier based on the index priority; if there is no second supplier, screen the final supplier based on the index priority.

[0085] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0086] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A supplier panoramic information analysis and intelligent screening method, characterized in that: include: Obtain panoramic information of suppliers and demanders, the panoramic information of suppliers includes: basic information, business capabilities, financial status, risk assessment, cooperation information, quotation information, material information; the panoramic information of demanders includes: demand information, funding information, indicator priority; Preprocessing the panoramic information; Based on the demand information and the basic information, a supplier meeting the supply demand is selected to obtain a first supplier; Determine an expected quotation based on the demand information and the funding information, and select a second supplier that meets the expected quotation from among the first suppliers based on the quotation information; If there is a second supplier, the supply stability of the second supplier is evaluated based on the panoramic information of the supplier, and it is determined whether the stability result meets the preset value. If it does, the final supplier is determined based on the material information and cooperation information; if it does not, the final supplier is screened based on the indicator priority; If none exists, the final supplier is screened based on the priority of the above indicators.

2. A supplier panoramic information analysis and intelligent screening method according to claim 1, characterized in that: Determining an expected quotation based on the demand information and the funding information includes: Acquire target materials based on the demand information; Retrieving from a pre-built material price database based on the target material, obtaining a guide quotation for the target material; An expected quotation is determined based on the cost information and the guide quotation.

3. A supplier panoramic information analysis and intelligent screening method according to claim 1, characterized in that: The final suppliers are screened based on the priority of the above indicators, including: Sorting the first suppliers based on the stability evaluation results to obtain a first supplier sequence; Calculating a deviation coefficient between the quotation information and the expected quotation based on the expected quotation and the quotation information, and sorting the first suppliers based on the deviation coefficient to obtain a second supplier sequence; Allocate weights to the indicators based on the indicator priority, and assign values ​​to the supplier sequences in the first supplier sequence and the second supplier sequence based on the rankings; The weighted sum of each supplier is used to obtain the comprehensive evaluation value of each supplier; The final supplier is determined based on the comprehensive evaluation value.

4. A supplier panoramic information analysis and intelligent screening method according to claim 1, characterized in that: A multi-dimensional supply stability evaluation model is constructed through a fuzzy comprehensive evaluation algorithm model based on support vector machine.

5. A supplier panoramic information analysis and intelligent screening method according to claim 4, characterized in that: A multi-dimensional supply stability evaluation model is constructed through a fuzzy comprehensive evaluation algorithm model based on support vector machine, which includes: Determine stability assessment indicators based on the needs of supply stability assessment; The membership degree of each stability evaluation index is calculated by fuzzy comprehensive evaluation method; The comprehensive membership of stability evaluation indicators of different dimensions is calculated through Sugeno fuzzy reasoning; The stability evaluation results are generated through fuzzy decision making according to the comprehensive membership of different dimensions.

6. A supplier panoramic information analysis and intelligent screening method according to claim 1, characterized in that: Determine the final supplier based on material information and cooperation information, including: Based on the cooperation information, the suppliers are respectively subjected to delay characteristic analysis to determine delay characteristic evaluation coefficients of the suppliers; Performing quality analysis on the suppliers respectively based on the material information to determine the quality characteristic evaluation coefficients of the suppliers; A final supplier is determined based on the delay characteristic evaluation coefficient and the quality characteristic evaluation coefficient.

7. A supplier panoramic information analysis and intelligent screening system, characterized in that: include: A data collection unit is used to obtain panoramic information of suppliers and panoramic information of demanders. The panoramic information of suppliers includes: basic information, business capabilities, financial status, risk assessment, cooperation information, quotation information, and material information; the panoramic information of demanders includes: demand information, funding information, and indicator priority; A preprocessing unit, used for preprocessing the panoramic information; A first screening unit, configured to screen suppliers that meet the supply requirements based on the demand information and the basic information to obtain a first supplier; A second screening unit is used to determine an expected quotation based on the demand information and the funding information, and screen a second supplier that meets the expected quotation from the first suppliers based on the quotation information; A determination module is used to evaluate the supply stability of a second supplier based on the supplier's panoramic information if the second supplier exists, and to determine whether the stability result meets the preset value. If so, the final supplier is determined based on the material information and cooperation information; if not, the final supplier is screened based on the indicator priority; if the second supplier does not exist, the final supplier is screened based on the indicator priority.

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