Electric power material bidding risk control method

Abstract

The invention discloses an electric power material bidding risk control method, and belongs to the technical field of material purchasing management and control. In order to solve the problems of incomplete risk identification, inaccurate assessment and unreasonable resource allocation, key risk factors such as market prospects, supplier risks and bid invitation list risks are scored and quantified, so that an enterprise can more accurately assess the possible influence degree of each risk factor on a bid invitation project; by calculating the weight of each risk factor, the enterprise is helped to preferentially pay attention to and process the risk factors which have great influence on the bid invitation project under the condition of limited resources, so that the resource configuration is optimized, the risk control efficiency is improved, the enterprise can sort and screen different suppliers and electric power materials according to the bid invitation risk values, and the risk control efficiency is improved. According to the method, suppliers and materials with relatively low risks and high price are selected, scientificity and reasonability of bid invitation decision making are improved, potential risk points are found in time through risk factor quantification, and early warning measures are taken.

Description

Technical Field

[0001] The present invention relates to the technical field of material procurement control, and in particular to a method for controlling risks in bidding for electric power materials. Background Art

[0002] Power material bidding is the process of open or invited bidding for the equipment, materials, services, etc. required by power companies during construction or production. This process aims to procure high-quality materials and services at reasonable prices through market competition mechanisms. However, power material bidding is also accompanied by certain risks. Risks need to be controlled and avoided, and the following problems still exist in actual operations:

[0003] Traditional bidding risk control often relies on experience and judgment, which is highly subjective and makes it difficult to fully identify potential risks in the bidding process. It lacks precision and is difficult to quantify the extent and scope of risk. With limited resources, companies often find it difficult to reasonably allocate resources to deal with various risks. Summary of the invention

[0004] The purpose of the present invention is to provide a method for controlling the risks of bidding for electric power materials to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for controlling the risk of bidding for electric power materials, comprising the following steps:

[0006] Market prospect monitoring and analysis: collect historical market data of power material products through industry reports and market research, evaluate market stability, predict future market growth rate and market risk index, and construct market prospect risk index for different power material products;

[0007] Supplier monitoring and analysis, establishing a supplier evaluation system, calculating the supplier's comprehensive score, and classifying suppliers into different risk levels based on the supplier's comprehensive score and risk warning threshold to obtain the supplier's risk level;

[0008] Review of the tender list: Review the materials in the tender list, identify potential risk points in the list by comparing market prices, supplier capabilities, and historical procurement records, quantify the identified risk points, evaluate the level of each risk point based on the risk matrix, and calculate the risk coefficient of the tender list for different power material products;

[0009] Quantify risk factors, convert market prospect risk index, supplier risk level, and bidding list risk coefficient factors into quantifiable data, assign different weights to market prospect risk index, supplier risk level, and bidding list risk coefficient according to the importance of each factor, and calculate the bidding risk value of each power material corresponding to each supplier;

[0010] Formulate risk response measures. For each risk, formulate specific response strategies, including finding alternative suppliers, adjusting bidding terms, and strengthening market monitoring, implement risk response measures, and continuously monitor the implementation effects.

[0011] Furthermore, the market prospect monitoring and analysis further includes the following steps:

[0012] Select industry reports, market research institutions, and statistical data released by government departments as data sources to collect historical market data, including material prices, supply and demand, industry growth rate, market size, growth rate, competition pattern, and technological innovation factors;

[0013] The collected data is cleaned to remove duplicate, erroneous and inconsistent data, and the cleaned data is sorted by category to form a structured data set, and the categories include price, supply and demand, and growth rate.

[0014] Furthermore, the market prospect monitoring and analysis further includes the following steps:

[0015] Analyze supply and demand, price fluctuation factors and evaluate market stability, and quantify market stability through moving average;

[0016] Based on historical market data, predict future market growth rates through time series analysis;

[0017] Based on the competition pattern and technological innovation factors, evaluate the impact and substitution effect on the power material product market, and conduct qualitative and quantitative analysis of the impact of technological innovation;

[0018] Based on the results of market stability, future market growth rate, and the impact of technological innovation, identify market risk factors that may be brought about by market changes, including declining demand, intensified competition, and technological substitution;

[0019] Quantify the identified market risk factors, set scoring criteria for the probability of risk occurrence and the degree of impact, and calculate specific quantitative values ​​through expert scoring and statistical models;

[0020] According to the quantitative results of market risk factors and the weights of market risk factors, the specific value of the market outlook risk index is calculated by weighted summation to obtain the market outlook risk index.

[0021] Furthermore, the supplier monitoring and analysis further includes the following steps:

[0022] Identify key evaluation dimensions, including financial status, production capacity, product quality, on-time delivery rate, and after-sales service;

[0023] Set evaluation indicators and standards. For each evaluation dimension, set evaluation indicators and scoring standards. According to the importance of each evaluation dimension, assign different weights to each dimension and specific evaluation indicators;

[0024] Among them, the evaluation indicators of financial status include asset-liability ratio and cash flow status;

[0025] The evaluation indicators of production capacity include the production line’s capacity and capacity utilization rate;

[0026] Product quality evaluation indicators include qualified rate and return rate;

[0027] The evaluation indicators of after-sales service include problem solving speed and customer satisfaction.

[0028] Furthermore, the supplier monitoring and analysis further includes the following steps:

[0029] Collecting supplier data from suppliers, including financial statements, production reports, quality inspection reports, delivery records, and after-sales service feedback;

[0030] Comprehensively score suppliers based on supplier data, calculate the scores of each evaluation dimension and evaluation indicator by weighted average, and obtain the comprehensive score of suppliers. According to the score results and the preset risk warning threshold, the suppliers are divided into different risk levels;

[0031] The supplier risk level is calculated based on the risk level of each supplier.

[0032] Furthermore, the bidding list review specifically includes the following steps:

[0033] Based on historical procurement experience and market understanding, preliminarily identify potential risk points in the tender list, including abnormal prices and abnormal supplier capabilities;

[0034] Collect market price information of various power material products through market research and price inquiry, compare the market price information with the quotations in the bidding list, calculate the price difference of various power material products, judge whether the price is reasonable based on the price difference, set a reasonable price difference threshold, and judge the price as abnormal when the price difference is higher than the reasonable price difference threshold;

[0035] Combined with the results of supplier monitoring and analysis, evaluate whether the suppliers involved in the bidding list have the supply capacity to meet the procurement needs, including production capacity, delivery capacity, and after-sales service;

[0036] The identified risk points are quantified, the probability of occurrence and impact of the risk points are evaluated based on the risk matrix, and the risks are divided into different risk point levels, including high risk points, medium risk points and low risk points.

[0037] Furthermore, the bidding list review specifically includes the following steps:

[0038] Based on the results of risk quantification, various risk points in the bidding list are integrated according to levels;

[0039] Based on the risk matrix, different weights are assigned to risk points of different levels, and the bidding list risk coefficient of the entire bidding list is calculated;

[0040] Based on the calculation results of the risk coefficient, a tender list risk assessment report is prepared, which includes the identified risk points, quantitative results, risk levels and tender list risk coefficients.

[0041] Furthermore, the risk factor quantification specifically includes the following steps:

[0042] Scoring the importance of risk factors of market prospects, supplier risks, and bidding list risks, wherein the scoring standard is set at 1-10 points;

[0043] After collecting all the scores, the average score of each risk factor is calculated to obtain the market prospect score, supplier risk score and tender list risk score. The scores of each risk factor are standardized so that the sum of the weights of all factors is 1, and the weight of each risk factor is calculated. The weight of each risk factor is obtained by the following formula:

[0044]

[0045] Among them, weight i represents the weight of the i-th factor, A i represents the average score of the ith factor, represents the sum of the average scores of all risk factors, and n represents the total number of risk factors.

[0046] Furthermore, the risk factor quantification specifically includes the following steps:

[0047] Obtain the specific values ​​of the market prospect score, supplier risk score and bidding list risk score and calculate the bidding risk value of each supplier corresponding to each power material, wherein the bidding risk value is obtained by the following formula:

[0048] RV=(MOS*Weigh t1)+(SRS*Weigh t2)+(BRS*Weigh t3)

[0049] Among them, RV represents the bidding risk value, MOS represents the market prospect score, SRS represents the supplier risk score, BRS represents the bidding list risk score, Weigh t1 represents the weight of the market prospect risk index, Weigh t2 represents the weight of the supplier risk level, and Weigh t3 represents the weight of the bidding list risk coefficient.

[0050] Furthermore, the formulation of risk response measures specifically includes the following steps:

[0051] Based on the bidding risk values ​​of various suppliers of various power materials, the priority of various risks is comprehensively determined, and a risk list is compiled, which includes risk description, risk value, and priority information;

[0052] Analyze the causes of risks, including internal and external factors, and design specific response strategies based on the risk causes;

[0053] Convert the response strategy into an actionable action plan, which includes the responsible person, implementation time and required resources, and implement the response strategy in accordance with the requirements of the action plan;

[0054] Establish a risk monitoring mechanism, regularly track the development of risks, and adjust and optimize response strategies based on monitoring results.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] 1. The present invention ensures that each link in the bidding process is supported by clear data and scoring standards through systematic market prospect monitoring, supplier evaluation and bidding list review, identifies potential markets, suppliers and risk points in the bidding list, and converts these risk points into comparable and analyzable values ​​through quantitative means, so that risk managers can more accurately grasp the severity of the risk and the possible scope of impact. Through supplier monitoring and analysis and risk level classification, enterprises can identify and give priority to cooperating with suppliers with good reputation and low risk, thereby enhancing the stability and reliability of the supply chain, helping enterprises to maintain business continuity and stability in the face of emergencies such as supply chain disruptions, systematizing and proceduralizing risk management work, and improving the efficiency and effectiveness of risk management by formulating specific risk response measures and continuously monitoring the implementation effect.

[0057] 2. The present invention scores and quantifies key risk factors such as market prospects, supplier risks, and bidding list risks. Enterprises can more accurately evaluate the possible impact of each risk factor on bidding projects. By calculating the weights of various risk factors, enterprises can understand the relative importance of different risk factors in the overall risk, which helps enterprises to give priority to and deal with risk factors that have a greater impact on bidding projects when resources are limited, thereby optimizing resource allocation and improving risk control efficiency. Enterprises can sort and screen different suppliers and power materials according to the size of the bidding risk value, select suppliers and materials with relatively low risks and high cost-effectiveness, and improve the scientificity and rationality of bidding decisions. By quantifying risk factors, enterprises can promptly discover potential risk points and take corresponding early warning and response measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a flow chart of the risk control method for bidding of electric power materials of the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] In order to solve the technical problems that traditional bidding risk control often relies on experience and judgment, has strong subjectivity, is difficult to fully identify potential risks in the bidding process, lacks precision, is difficult to quantify the extent and scope of risk, and when resources are limited, enterprises often find it difficult to reasonably allocate resources to deal with various risks, please refer to Figure 1 , the present invention provides the following technical solutions:

[0061] A method for controlling risks in bidding for electric power materials comprises the following steps:

[0062] Market prospect monitoring and analysis: collect historical market data of power material products through industry reports and market research, evaluate market stability, predict future market growth rate and market risk index, and construct market prospect risk index for different power material products;

[0063] Supplier monitoring and analysis, establishing a supplier evaluation system, calculating the supplier's comprehensive score, and classifying suppliers into different risk levels based on the supplier's comprehensive score and risk warning threshold to obtain the supplier's risk level;

[0064] Review of the tender list: Review the materials in the tender list, identify potential risk points in the list by comparing market prices, supplier capabilities, and historical procurement records, quantify the identified risk points, evaluate the level of each risk point based on the risk matrix, and calculate the risk coefficient of the tender list for different power material products;

[0065] Quantify risk factors, convert market prospect risk index, supplier risk level, and bidding list risk coefficient factors into quantifiable data, assign different weights to market prospect risk index, supplier risk level, and bidding list risk coefficient according to the importance of each factor, and calculate the bidding risk value of each power material corresponding to each supplier;

[0066] Formulate risk response measures. For each risk, formulate specific response strategies, including finding alternative suppliers, adjusting bidding terms, and strengthening market monitoring, implement risk response measures, and continuously monitor the implementation effects.

[0067] In the above embodiment, through systematic market prospect monitoring, supplier evaluation and tender list review, it is ensured that each link in the tender process is supported by clear data and scoring standards, and potential market, supplier and tender list risk points are identified. These risk points are converted into comparable and analyzable values ​​through quantitative means, so that risk managers can more accurately grasp the severity of the risk and the possible scope of impact.

[0068] In the above embodiment, based on the comprehensive evaluation of the market prospect risk index, supplier risk level and bidding list risk coefficient, the enterprise can determine the procurement strategy of power materials more scientifically, optimize resource allocation, and reduce resource waste and losses caused by blind decision-making. Through supplier monitoring and analysis and risk level classification, the enterprise can identify and give priority to cooperating with suppliers with good reputation and low risk, thereby enhancing the stability and reliability of the supply chain, helping the enterprise to maintain the continuity and stability of operations when facing emergencies such as supply chain disruptions, systematizing and proceduralizing risk management work, and improving the efficiency and effectiveness of risk management by formulating specific risk response measures and continuously monitoring the implementation effects.

[0069] Market prospect monitoring and analysis also includes the following steps:

[0070] Select industry reports, market research institutions, and statistical data released by government departments as data sources to collect historical market data, including material prices, supply and demand, industry growth rate, market size, growth rate, competition pattern, and technological innovation factors;

[0071] Clean the collected data, remove duplicate, erroneous and inconsistent data, and organize the cleaned data by category to form a structured data set, including price, supply and demand, and growth rate;

[0072] Analyze supply and demand, price fluctuation factors and evaluate market stability, and quantify market stability through moving average;

[0073] Based on historical market data, predict future market growth rates through time series analysis;

[0074] Based on the competition pattern and technological innovation factors, evaluate the impact and substitution effect on the power material product market, and conduct qualitative and quantitative analysis of the impact of technological innovation;

[0075] Based on the results of market stability, future market growth rate, and the impact of technological innovation, identify market risk factors that may be brought about by market changes, including declining demand, intensified competition, and technological substitution;

[0076] Quantify the identified market risk factors, set scoring criteria for the probability of risk occurrence and the degree of impact, and calculate specific quantitative values ​​through expert scoring and statistical models;

[0077] According to the quantitative results of market risk factors and the weights of market risk factors, the specific value of the market outlook risk index is calculated by weighted summation to obtain the market outlook risk index.

[0078] In the above embodiments, the market prospect monitoring and analysis not only considers traditional market factors such as supply and demand relationships and price fluctuations, but also deeply analyzes the impact of competition patterns and technological innovations on the market, and can more accurately identify the risk factors that may be brought about by market changes, quantify market risk factors, and set scoring standards for the probability of risk occurrence and the degree of impact. The specific quantitative values ​​are calculated through expert scoring and statistical models, making market risks more intuitive and comparable, which is convenient for enterprises to conduct risk assessment and decision-making during the bidding process. Based on the calculation results of the market prospect risk index, enterprises can formulate and adjust bidding strategies more scientifically. For example, for power material products with higher market prospect risks, enterprises can consider adopting more cautious procurement strategies, such as increasing alternative suppliers, shortening procurement cycles, etc., to reduce potential risks.

[0079] In the above embodiment, through in-depth analysis and prediction of market prospects, the enterprise can gain insight into market trends and changes in advance, thereby adjusting its business strategy and product layout in a timely manner, which helps the enterprise improve its market adaptability and competitiveness and occupy a favorable position in the fierce market competition. By using market prospect monitoring and analysis as part of the risk control method for power material bidding, the enterprise's risk management can be more systematic and scientific. Through systematic data collection, analysis and prediction, the enterprise can establish a complete risk management mechanism to provide strong guarantee for the stable development of the enterprise.

[0080] Supplier monitoring and analysis also includes the following steps:

[0081] Identify key evaluation dimensions, including financial status, production capacity, product quality, on-time delivery rate, and after-sales service;

[0082] Set evaluation indicators and standards. For each evaluation dimension, set evaluation indicators and scoring standards. According to the importance of each evaluation dimension, assign different weights to each dimension and specific evaluation indicators;

[0083] Among them, the evaluation indicators of financial status include asset-liability ratio and cash flow status;

[0084] The evaluation indicators of production capacity include the production line’s capacity and capacity utilization rate;

[0085] Product quality evaluation indicators include qualified rate and return rate;

[0086] Evaluation indicators for after-sales service include problem solving speed and customer satisfaction;

[0087] Collecting supplier data from suppliers, including financial statements, production reports, quality inspection reports, delivery records, and after-sales service feedback;

[0088] Comprehensively score suppliers based on supplier data, calculate the scores of each evaluation dimension and evaluation indicator by weighted average, and obtain the comprehensive score of suppliers. According to the score results and the preset risk warning threshold, the suppliers are divided into different risk levels;

[0089] The supplier risk level is calculated based on the risk level of each supplier.

[0090] In the above embodiment, the comprehensiveness and objectivity of the supplier evaluation are ensured by identifying key evaluation dimensions and setting specific evaluation indicators and standards. Different weights are assigned to each evaluation dimension and specific evaluation indicator, reflecting the differences in the importance of different indicators in the evaluation. By calculating the scores of each evaluation dimension, the resulting comprehensive score more accurately reflects the overall performance of the supplier. According to the scoring results and the preset risk warning thresholds, the suppliers are divided into different risk levels, providing a clear basis for risk management in the bidding process.

[0091] In the above embodiment, by collecting supplier data and making comprehensive scores, the enterprise can more clearly understand the actual operating conditions and potential risks of the supplier, which helps the enterprise make more informed decisions during the bidding process and avoid selecting high-risk suppliers, thereby ensuring the transparency and stability of the supply chain. The calculation results of the supplier risk level provide strong support for the enterprise to select suppliers during the bidding process. The enterprise can formulate differentiated bidding strategies based on the supplier's risk level.

[0092] The tender list review also includes the following steps:

[0093] Based on historical procurement experience and market understanding, preliminarily identify potential risk points in the tender list, including abnormal prices and abnormal supplier capabilities;

[0094] Collect market price information of various power material products through market research and price inquiry, compare the market price information with the quotations in the bidding list, calculate the price difference of various power material products, judge whether the price is reasonable based on the price difference, set a reasonable price difference threshold, and judge the price as abnormal when the price difference is higher than the reasonable price difference threshold;

[0095] Combined with the results of supplier monitoring and analysis, evaluate whether the suppliers involved in the bidding list have the supply capacity to meet the procurement needs, including production capacity, delivery capacity, and after-sales service;

[0096] Quantify the identified risk points, evaluate the probability and impact of the risk points based on the risk matrix, and classify the risks into different risk point levels, including high risk points, medium risk points, and low risk points;

[0097] Based on the results of risk quantification, various risk points in the bidding list are integrated according to levels;

[0098] Based on the risk matrix, different weights are assigned to risk points of different levels, and the bidding list risk coefficient of the entire bidding list is calculated;

[0099] Based on the calculation results of the risk coefficient, a tender list risk assessment report is prepared, which includes the identified risk points, quantitative results, risk levels and tender list risk coefficients.

[0100] In the above embodiment, through systematic review of the tender list, the enterprise can identify and quantify potential risk points in the tender list based on objective market price information and supplier capacity assessment, thereby improving the transparency and fairness of the tender process. The tender list review preliminarily identifies potential risk points, quantifies and evaluates the risk points in detail, and the risk assessment method based on the risk matrix can scientifically assess the probability and impact of risk points, and divide risks into different levels. The quantification and classification processing method makes risk assessment more accurate and scientific.

[0101] In the above embodiment, through the bidding list risk assessment report, the enterprise can clearly understand the specific circumstances of each risk point in the bidding list. By identifying and quantifying the abnormal price risk points in the bidding list, the enterprise can promptly discover and avoid unreasonable quotations, thereby reducing procurement costs, helping the enterprise to select suppliers with sufficient supply capacity, ensuring that the purchased power materials can be supplied in a timely and stable manner, and improving procurement efficiency. The bidding list review comprehensively considers the supplier's production capacity, delivery capacity and after-sales service, which helps the enterprise select high-quality suppliers and establish long-term and stable cooperative relationships, thereby improving the stability and reliability of the supply chain.

[0102] The quantification of risk factors also includes the following steps:

[0103] Scoring the importance of risk factors of market prospects, supplier risks, and bidding list risks, wherein the scoring standard is set at 1-10 points;

[0104] After collecting all the scores, the average score of each risk factor is calculated to obtain the market prospect score, supplier risk score and tender list risk score. The scores of each risk factor are standardized so that the sum of the weights of all factors is 1, and the weight of each risk factor is calculated. The weight of each risk factor is obtained by the following formula:

[0105]

[0106] Among them, Weight t represents the weight of the i-th factor, A i represents the average score of the ith factor, represents the sum of the average scores of all risk factors, and n represents the total number of risk factors;

[0107] Obtain the specific values ​​of the market prospect score, supplier risk score and bidding list risk score and calculate the bidding risk value of each supplier corresponding to each power material, wherein the bidding risk value is obtained by the following formula:

[0108] RV=(MOS*Weigh t1)+(SRS*Weigh t2)+(BRS*Weigh t3)

[0109] Among them, RV represents the bidding risk value, MOS represents the market prospect score, SRS represents the supplier risk score, BRS represents the bidding list risk score, Weigh t1 represents the weight of the market prospect risk index, Weigh t2 represents the weight of the supplier risk level, and Weigh t3 represents the weight of the bidding list risk coefficient.

[0110] In the above embodiment, by scoring and quantifying key risk factors such as market prospects, supplier risks, and bidding list risks, the enterprise can more accurately assess the impact that each risk factor may have on the bidding project, which helps the enterprise to more accurately grasp the risks in the decision-making process and provide a scientific basis for formulating risk control strategies. By calculating the weights of various risk factors, the enterprise can understand the relative importance of different risk factors in the overall risk, which helps the enterprise to give priority to and deal with risk factors that have a greater impact on the bidding project when resources are limited, thereby optimizing resource allocation and improving risk control efficiency.

[0111] In the above embodiment, the calculation of the bidding risk value comprehensively considers factors such as market prospects, supplier risks, and bidding list risks, making the bidding decision more comprehensive and reasonable. Enterprises can sort and screen different suppliers and power materials according to the size of the bidding risk value, and select suppliers and materials with relatively low risks and high cost performance, so as to improve the scientificity and rationality of bidding decisions. By quantifying risk factors, enterprises can timely discover potential risk points and take corresponding early warning and response measures. For example, when a supplier has a high risk score, the enterprise can take measures in advance to conduct risk assessment and review, or choose other suppliers with lower risks to cooperate. This risk warning and response mechanism helps enterprises to respond to potential risks in a timely manner and avoid losses.

[0112] The formulation of risk response measures also includes the following steps:

[0113] Based on the bidding risk values ​​of various suppliers of various power materials, the priority of various risks is comprehensively determined, and a risk list is compiled, which includes risk description, risk value, and priority information;

[0114] Analyze the causes of risks, including internal and external factors, and design specific response strategies based on the risk causes;

[0115] Convert the response strategy into an actionable action plan, which includes the responsible person, implementation time and required resources, and implement the response strategy in accordance with the requirements of the action plan;

[0116] Establish a risk monitoring mechanism, regularly track the development of risks, and adjust and optimize response strategies based on monitoring results.

[0117] In the above embodiment, by comprehensively determining the priority of each risk and compiling a risk list, the enterprise can clearly understand the urgency and importance of each risk, so as to formulate a targeted response strategy. This targeted response strategy can more effectively respond to risks and reduce the impact of risks on the enterprise. According to the monitoring results, the enterprise can flexibly adjust and optimize the response strategy to adapt to the ever-changing market environment and bidding needs.

[0118] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for controlling the risk of bidding for electric power materials, characterized in that: The following steps are involved: Market prospect monitoring and analysis: collect historical market data of power material products through industry reports and market research, evaluate market stability, predict future market growth rate and market risk index, and construct market prospect risk index for different power material products; Supplier monitoring and analysis, establishing a supplier evaluation system, calculating the supplier's comprehensive score, and classifying suppliers into different risk levels based on the supplier's comprehensive score and risk warning threshold to obtain the supplier's risk level; Review of the tender list: Review the materials in the tender list, identify potential risk points in the list by comparing market prices, supplier capabilities, and historical procurement records, quantify the identified risk points, evaluate the level of each risk point based on the risk matrix, and calculate the risk coefficient of the tender list for different power material products; Quantify risk factors, convert market prospect risk index, supplier risk level, and bidding list risk coefficient factors into quantifiable data, assign different weights to market prospect risk index, supplier risk level, and bidding list risk coefficient according to the importance of each factor, and calculate the bidding risk value of each power material corresponding to each supplier; Formulate risk response measures. For each risk, formulate specific response strategies, including finding alternative suppliers, adjusting bidding terms, and strengthening market monitoring, implement risk response measures, and continuously monitor the implementation effects.

2. A method for controlling the risk of bidding for electric power materials as claimed in claim 1, characterized in that: The market prospect monitoring and analysis specifically further includes the following steps: Select industry reports, market research institutions, and statistical data released by government departments as data sources to collect historical market data, including material prices, supply and demand, industry growth rate, market size, growth rate, competition pattern, and technological innovation factors; The collected data is cleaned to remove duplicate, erroneous and inconsistent data, and the cleaned data is sorted by category to form a structured data set, and the categories include price, supply and demand, and growth rate.

3. A method for controlling the risk of bidding for electric power materials as claimed in claim 2, characterized in that: The market prospect monitoring and analysis specifically further includes the following steps: Analyze supply and demand, price fluctuation factors and evaluate market stability, and quantify market stability through moving average; Based on historical market data, predict future market growth rates through time series analysis; Based on the competition pattern and technological innovation factors, evaluate the impact and substitution effect on the power material product market, and conduct qualitative and quantitative analysis of the impact of technological innovation; Based on the results of market stability, future market growth rate, and the impact of technological innovation, identify market risk factors that may be brought about by market changes, including declining demand, intensified competition, and technological substitution; Quantify the identified market risk factors, set scoring criteria for the probability of risk occurrence and the degree of impact, and calculate specific quantitative values ​​through expert scoring and statistical models; According to the quantitative results of market risk factors and the weights of market risk factors, the specific value of the market outlook risk index is calculated by weighted summation to obtain the market outlook risk index.

4. A method for controlling the risk of bidding for electric power materials according to claim 1, characterized in that: The supplier monitoring and analysis specifically includes the following steps: Identify key evaluation dimensions, including financial status, production capacity, product quality, on-time delivery rate, and after-sales service; Set evaluation indicators and standards. For each evaluation dimension, set evaluation indicators and scoring standards. According to the importance of each evaluation dimension, assign different weights to each dimension and specific evaluation indicators; Among them, the evaluation indicators of financial status include asset-liability ratio and cash flow status; The evaluation indicators of production capacity include the production line’s capacity and capacity utilization rate; Product quality evaluation indicators include qualified rate and return rate; The evaluation indicators of after-sales service include problem solving speed and customer satisfaction.

5. A method for controlling the risk of bidding for electric power materials as claimed in claim 4, characterized in that: The supplier monitoring and analysis specifically includes the following steps: Collecting supplier data from suppliers, including financial statements, production reports, quality inspection reports, delivery records, and after-sales service feedback; Comprehensively score suppliers based on supplier data, calculate the scores of each evaluation dimension and evaluation indicator by weighted average, and obtain the comprehensive score of suppliers. According to the score results and the preset risk warning threshold, the suppliers are divided into different risk levels; The supplier risk level is calculated based on the risk level of each supplier.

6. A method for controlling the risk of bidding for electric power materials according to claim 1, characterized in that: The tender list review specifically includes the following steps: Based on historical procurement experience and market understanding, preliminarily identify potential risk points in the tender list, including abnormal prices and abnormal supplier capabilities; Collect market price information of various power material products through market research and price inquiry, compare the market price information with the quotations in the bidding list, calculate the price difference of various power material products, judge whether the price is reasonable based on the price difference, set a reasonable price difference threshold, and judge the price as abnormal when the price difference is higher than the reasonable price difference threshold; Combined with the results of supplier monitoring and analysis, evaluate whether the suppliers involved in the bidding list have the supply capacity to meet the procurement needs, including production capacity, delivery capacity, and after-sales service; The identified risk points are quantified, the probability of occurrence and impact of the risk points are evaluated based on the risk matrix, and the risks are divided into different risk point levels, including high risk points, medium risk points and low risk points.

7. A method for controlling the risk of bidding for electric power materials as claimed in claim 6, characterized in that: The tender list review specifically includes the following steps: Based on the results of risk quantification, various risk points in the bidding list are integrated according to levels; Based on the risk matrix, different weights are assigned to risk points of different levels, and the risk coefficient of the tender list of the entire tender list is calculated; Based on the calculation results of the risk coefficient, a tender list risk assessment report is prepared, which includes the identified risk points, quantitative results, risk levels and tender list risk coefficients.

8. The method for controlling the risk of bidding for electric power materials according to claim 1, characterized in that: The risk factor quantification specifically includes the following steps: Scoring the importance of risk factors of market prospects, supplier risks, and bidding list risks, wherein the scoring standard is set at 1-10 points; After collecting all the scores, the average score of each risk factor is calculated to obtain the market prospect score, supplier risk score and tender list risk score. The scores of each risk factor are standardized so that the sum of the weights of all factors is 1, and the weight of each risk factor is calculated. The weight of each risk factor is obtained by the following formula: Among them, Weight i represents the weight of the i-th factor, A i represents the average score of the ith factor, represents the sum of the average scores of all risk factors, and n represents the total number of risk factors.

9. A method for controlling the risk of bidding for electric power materials as claimed in claim 8, characterized in that: The risk factor quantification specifically includes the following steps: Obtain the specific values ​​of the market prospect score, supplier risk score and bidding list risk score and calculate the bidding risk value of each supplier corresponding to each power material, wherein the bidding risk value is obtained by the following formula: RV=(MOS*Weight1)+(SRS*Weight2)+(BRS*Weight3) Among them, RV represents the bidding risk value, MOS represents the market prospect score, SRS represents the supplier risk score, BRS represents the bidding list risk score, Weight1 represents the weight of the market prospect risk index, Weight2 represents the weight of the supplier risk level, and Weight3 represents the weight of the bidding list risk coefficient.

10. A method for controlling the risk of bidding for electric power materials according to claim 1, characterized in that: The risk response measures formulation specifically includes the following steps: Based on the bidding risk values ​​of various power materials corresponding to various suppliers, the priority of various risks is comprehensively determined, and a risk list is compiled, which includes risk description, risk value, and priority information; Analyze the causes of risks, including internal and external factors, and design specific response strategies based on the risk causes; Convert the response strategy into an actionable action plan, which includes responsible persons, implementation time and required resources, and implement the response strategy in accordance with the requirements of the action plan; Establish a risk monitoring mechanism, regularly track the development of risks, and adjust and optimize response strategies based on monitoring results.

Images