Supplier evaluation method based on entropy weight method

Abstract

The invention discloses a supplier evaluation method based on an entropy weight method, and relates to the technical field of data processing. The method comprises the following steps: S1, determining an evaluation index for evaluating the supplier level based on the type of a supplied commodity; wherein the evaluation indexes comprise a quality level index, a delivery capability index, a price level index, a technical capability index and a backup service index; s2, collecting historical data of each evaluation index, and preprocessing the data; and S3, classifying the evaluation indexes, including qualitative evaluation indexes and quantitative evaluation indexes. According to the method, the entropy weight method is adopted to evaluate the suppliers, the entropy weight method can deeply reflect the distinguishing ability of the indexes and determine better weights, weighting is more objective, theoretical basis is provided, the credibility is higher, the entropy weight method is also adopted to process each evaluation index, the accuracy of data of each evaluation index is improved, and the evaluation efficiency is improved. The problem that an existing supplier evaluation method is not ideal in accuracy is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular relates to a supplier evaluation method based on entropy weight method. Background Art

[0002] Supplier evaluation refers to the use of an index evaluation system to evaluate suppliers' supply quality, service level, supply price, punctuality, credit, etc., laying the foundation for supplier selection. Without a reasonable evaluation method, it is impossible to evaluate the supplier's cooperation effect, which will greatly dampen the supplier's cooperation enthusiasm and stability. Through evaluation, the results are fed back to the supplier, and the root causes of the problems are discussed with the supplier, and corresponding measures are taken to improve them.

[0003] According to the explanation of the basic principles of information theory, information is a measure of the order of a system, and entropy is a measure of the disorder of a system; according to the definition of information entropy, for a certain indicator, the entropy value can be used to judge the degree of dispersion of a certain indicator. The smaller the information entropy value, the greater the dispersion of the indicator, and the greater the impact of the indicator on the comprehensive evaluation (i.e., weight). If the values ​​of a certain indicator are all equal, the indicator will not work in the comprehensive evaluation. Therefore, the information entropy tool can be used to calculate the weight of each indicator to provide a basis for the comprehensive evaluation of multiple indicators. Therefore, suppliers can be evaluated based on the entropy weight method, but the existing supplier evaluation methods are not comprehensive enough, and the data processing capabilities are not accurate enough, which makes the evaluation conclusions unconvincing.

[0004] Therefore, the existing supplier evaluation methods cannot meet the needs of actual use, so the market is in urgent need of improved technologies to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a supplier evaluation method based on the entropy weight method, which adopts the entropy weight method to evaluate suppliers. The entropy weight method can deeply reflect the distinguishing ability of indicators, determine better weights, and make weighting more objective, with theoretical basis and higher credibility. In addition, the entropy weight method is also used to process each evaluation indicator itself, so as to improve the accuracy of the data of each evaluation indicator itself, and solve the problem that the accuracy of the existing supplier evaluation method is not ideal.

[0006] In order to solve the above technical problems, the present invention is achieved through the following technical solutions: The present invention is a supplier evaluation method based on entropy weight method, comprising the following steps: S1: Based on the types of goods supplied, determine the evaluation indicators used to evaluate the supplier level; the evaluation indicators include quality level indicators, delivery capability indicators, price level indicators, technical capability indicators and support service indicators; S2: Collect historical data of various evaluation indicators and preprocess the data; S3: Classify various evaluation indicators, including qualitative evaluation indicators and quantitative evaluation indicators; S4: Use the entropy weight method to calculate the weights corresponding to each evaluation index; S5: Modify the weights of each evaluation index and determine the final weight; S6: Conduct a comprehensive evaluation, calculate the evaluation result of the supplier based on the final weight of each evaluation indicator, and score the supplier.

[0007] Furthermore, the historical data of each evaluation indicator in S2 are arranged according to time, and based on the distance in time, the historical data of the evaluation indicator is divided into several segments, and then the weight of each segment is calculated based on the entropy weight method, and the average historical data of the evaluation indicator is calculated.

[0008] Furthermore, the data preprocessing in S2 includes the following steps: S21: Clean the extreme values ​​of the historical data of each evaluation index, and remove extreme value samples that account for less than 2% of the total number of samples but have an index value contribution rate of more than 30%; S22: Normalize the historical data of each evaluation index.

[0009] Furthermore, the weight calculation of each evaluation index in S4 includes the calculation of the weight of qualitative evaluation index and the calculation of the weight of quantitative evaluation index; the calculation of the weight of qualitative evaluation index adopts a combination of entropy weight method and experience method, firstly the weight of the qualitative evaluation index is calculated by entropy weight method, and then the evaluator makes analysis and judgment on the qualitative evaluation index based on previous data and experience to determine the weight; the calculation of the weight of quantitative evaluation index adopts entropy weight method to calculate the weight of the quantitative evaluation index.

[0010] Furthermore, the weight correction in S5 adopts the expert experience method. The procurement experts correct the weights of various evaluation indicators based on their work experience and determine the final weights.

[0011] Furthermore, the comprehensive evaluation in S6 also includes risk warning evaluation. The most recent supply data is input into the evaluation system, and the entropy weight method is used to calculate the weight change corresponding to each evaluation indicator. When it exceeds the set value, the evaluation system determines that the supplier has a security risk and issues a warning to the purchasing staff.

[0012] Furthermore, risk warning assessment also includes the assessment of the supplier's operating conditions, which is based on data on the supplier's operating history, qualifications of responsible persons, registered capital, number of employees, completion records and performance, major customers and financial status.

[0013] The present invention has the following beneficial effects: The present invention adopts the entropy weight method to evaluate suppliers. The entropy weight method can deeply reflect the distinguishing ability of indicators, determine better weights, make weighting more objective, have theoretical basis, and have higher credibility. In addition, the entropy weight method is also used to process each evaluation indicator itself to improve the accuracy of the data of each evaluation indicator itself.

[0014] The present invention can further improve the accuracy of evaluation by correcting the weights of various evaluation indicators processed by the entropy weight method to determine the final weights, and classifies the evaluation indicators, and performs different analyses on qualitative evaluation indicators and quantitative evaluation indicators, which is more comprehensive and has higher evaluation accuracy.

[0015] The present invention has various functions and can conduct risk warning and assessment on suppliers, and can evaluate the operating conditions of suppliers themselves, thereby avoiding the occurrence of abnormal problems. Implementation

[0016] The technical solutions in the embodiments of the present invention are described clearly and completely below.

[0017] The present invention is a supplier evaluation method based on entropy weight method, comprising the following steps: S1: Based on the types of goods supplied, determine the evaluation indicators used to evaluate the supplier level; the evaluation indicators include quality level indicators, delivery capability indicators, price level indicators, technical capability indicators and support service indicators; S2: Collect historical data of various evaluation indicators and preprocess the data. The historical data of various evaluation indicators are arranged according to time, and divided into several segments based on the distance of time. The weight of each segment is calculated based on the entropy weight method, and the average historical data of the evaluation indicator is calculated. The data preprocessing includes: cleaning the extreme values ​​of the historical data of various evaluation indicators, eliminating extreme value samples that account for less than 2% of the total number of samples but have an indicator value contribution rate of more than 30%; normalizing the historical data of various evaluation indicators; S3: Classify various evaluation indicators, including qualitative evaluation indicators and quantitative evaluation indicators; S4: The weight corresponding to each evaluation index is calculated by using the entropy weight method, wherein the weight calculation of each evaluation index includes the calculation of the weight of the qualitative evaluation index and the calculation of the weight of the quantitative evaluation index; the calculation of the weight of the qualitative evaluation index adopts the combination of the entropy weight method and the empirical method, firstly the weight of the qualitative evaluation index is calculated by the entropy weight method, and then the evaluator makes an analysis and judgment on the qualitative evaluation index based on the previous data and experience to determine the weight; the calculation of the weight of the quantitative evaluation index adopts the entropy weight method to calculate the weight of the quantitative evaluation index; S5: Modify the weight of each evaluation indicator to determine the final weight. The weight modification adopts the expert experience method. The procurement experts modify the weight of each evaluation indicator based on their work experience to determine the final weight. S6: Perform a comprehensive evaluation, calculate the evaluation result of the supplier based on the final weight of each evaluation index, and score the supplier; The comprehensive evaluation also includes risk warning evaluation. The most recent supply data is input into the evaluation system, and the entropy weight method is used to calculate the weight change corresponding to each evaluation indicator. When the set value is exceeded, the evaluation system determines that the supplier poses a safety risk and issues a warning to the purchasing staff. The risk warning evaluation also includes the evaluation of the supplier's operating conditions, which is based on the supplier's operating history, qualifications of the person in charge, amount of registered capital, number of employees, completion record and performance, major customers and financial status data.

[0018] Example 1 Evaluation of medical device suppliers S1: For medical devices, the evaluation indicators include quality level indicators, delivery capability indicators, price level indicators, technical capability indicators and support service indicators; Among them, the quality level indicators include the rate of excellent medical equipment, the handling of quality problems, the use status of medical equipment, the service life of medical equipment and the return rate of medical equipment. The use status indicators include whether the medical equipment can efficiently complete tasks such as surgery and nursing, the degree of completion and the comfort of patients. The delivery capacity indicators include timeliness indicators and supply flexibility indicators; the price level indicators include preferential degree indicators and price increase absorption ability indicators; the technical capacity indicators include medical equipment advancement indicators, subsequent research and development capacity indicators and problem solving capacity indicators; the support service indicators include after-sales service capacity indicators and employee quality indicators; S2: Collect historical data of various evaluation indicators and preprocess the data. The historical data of various evaluation indicators are arranged according to time, and the historical data of the evaluation indicator is divided into several segments based on the time distance. The weight of each segment is calculated based on the entropy weight method. The closer the time is, the greater the weight is, and the closer the time is, the smaller the weight is. The average historical data of the evaluation indicator is calculated. The data preprocessing includes: cleaning the extreme values ​​of the historical data of various evaluation indicators, eliminating extreme value samples that account for less than 2% of the total number of samples but have an indicator value contribution rate of more than 30%; normalizing the historical data of various evaluation indicators; S3: Classify various evaluation indicators, including qualitative evaluation indicators and quantitative evaluation indicators. For example, employee quality indicators are classified as qualitative evaluation indicators, and medical equipment service life indicators are classified as quantitative evaluation indicators. S4: The weight corresponding to each evaluation index is calculated by using the entropy weight method, wherein the weight calculation of each evaluation index includes the calculation of the weight of the qualitative evaluation index and the calculation of the weight of the quantitative evaluation index; the calculation of the weight of the qualitative evaluation index adopts the combination of the entropy weight method and the empirical method, firstly the weight of the qualitative evaluation index is calculated by the entropy weight method, and then the evaluator makes an analysis and judgment on the qualitative evaluation index based on the previous data and experience to determine the weight; the calculation of the weight of the quantitative evaluation index adopts the entropy weight method to calculate the weight of the quantitative evaluation index; S5: Modify the weight of each evaluation index to determine the final weight. The weight modification adopts the expert experience method. The procurement experts modify the weight of each evaluation index based on their work experience to determine the final weight. The expert modification range setting value is determined according to the type of goods supplied and the actual situation. S6: Conduct a comprehensive evaluation, calculate the evaluation result of the medical device supplier based on the final weight of each evaluation index, and score the medical device supplier; The comprehensive evaluation also includes risk warning evaluation. The most recent supply data is input into the evaluation system, and the entropy weight method is used to calculate the weight change corresponding to each evaluation indicator. When the set value is exceeded, the evaluation system determines that the supplier poses a safety risk and issues a warning to the purchasing staff. The risk warning evaluation also includes the evaluation of the supplier's operating conditions, which is based on the supplier's operating history, qualifications of the person in charge, amount of registered capital, number of employees, completion record and performance, major customers and financial status data.

[0019] The above are only preferred embodiments of the present invention and do not limit the present invention. Any modification to the technical solutions recorded in the aforementioned embodiments, any equivalent replacement of some of the technical features therein, and any modification, equivalent replacement, and improvement made are all within the protection scope of the present invention.

Claims

1. A supplier evaluation method based on entropy weight method, characterized by: The following steps are involved: S1: Based on the types of supplied goods, determine the evaluation indicators for evaluating the supplier level; wherein the evaluation indicators include quality level indicators, delivery capability indicators, price level indicators, technical capability indicators and support service indicators; S2: Collect historical data of various evaluation indicators and preprocess the data; S3: Classify various evaluation indicators, including qualitative evaluation indicators and quantitative evaluation indicators; S4: Use the entropy weight method to calculate the weights corresponding to each evaluation index; S5: Modify the weights of each evaluation index and determine the final weight; S6: Conduct a comprehensive evaluation, calculate the evaluation result of the supplier based on the final weight of each evaluation indicator, and score the supplier.

2. The supplier evaluation method based on entropy weight method according to claim 1 is characterized in that: The historical data of each evaluation index in S2 are arranged according to time, and based on the distance in time, the historical data of the evaluation index are divided into several segments, and then the weight of each segment is calculated based on the entropy weight method, and the average historical data of the evaluation index is calculated.

3. The supplier evaluation method based on entropy weight method according to claim 1 is characterized in that: The data preprocessing in S2 includes the following steps: S21: Clean the extreme values ​​of the historical data of each evaluation index, and remove extreme value samples that account for less than 2% of the total number of samples but have an index value contribution rate of more than 30%; S22: Normalize the historical data of each evaluation index.

4. The supplier evaluation method based on entropy weight method according to claim 1 is characterized in that: The weight calculation of each evaluation index in S4 includes the calculation of the weight of the qualitative evaluation index and the calculation of the weight of the quantitative evaluation index; The calculation of the weight of the qualitative evaluation index adopts a combination of the entropy weight method and the empirical method. The weight of the qualitative evaluation index is first calculated by the entropy weight method, and then the evaluator analyzes and judges the qualitative evaluation index based on previous data and experience to determine the weight; The weight of the quantitative evaluation index is calculated by the entropy weight method.

5. The supplier evaluation method based on entropy weight method according to claim 1 is characterized in that: The weight correction in S5 adopts the expert experience method. The procurement experts correct the weights of various evaluation indicators based on their work experience and determine the final weights.

6. The supplier evaluation method based on entropy weight method according to claim 1 is characterized in that: The comprehensive evaluation in S6 also includes risk warning evaluation. The latest supply data is input into the evaluation system, and the entropy weight method is used to calculate the weight change corresponding to each evaluation indicator. When it exceeds the set value, the evaluation system determines that the supplier has a security risk and issues a warning to the purchasing staff.

7. The supplier evaluation method based on entropy weight method according to claim 6 is characterized in that: The risk warning assessment also includes an assessment of the supplier's operating conditions, which is based on data on the supplier's operating history, qualifications of responsible persons, registered capital, number of employees, completion records and performance, major customers and financial status.