Supplier classification and grading model and method based on big data analysis

Abstract

The invention discloses a supplier classification and grading model and method based on big data analysis. The method comprises the steps that suppliers are divided into strategic materials, bottleneck materials, lever materials and common materials; according to five parts of qualification capability evaluation, operation evaluation, performance evaluation, enterprise reputation and quality control management, hierarchical management is carried out in combination with classification of suppliers, and various suppliers are scored; the method further includes classifying the suppliers into ninelevels according to the comprehensive score condition of the suppliers; constructing a big data analysis technology platform according to the supplier classification and grading standard and the model. Supplier classification is obtained according to the big data analysis platform, the overall situation of suppliers is truly reflected, classification results are applied to the purchasing field, and cultivation and elimination of the suppliers are achieved. A data crawler technology and a big data analysis and processing technology are applied, and a supplier classification and grading model is established, so that supplier management and decision can be effectively assisted, and long-term cooperative development of enterprises and excellent suppliers is facilitated.

Description

technical field [0001] The invention relates to the technical field of supplier management, in particular to a supplier classification and grading model and method based on big data analysis. Background technique [0002] Today's society is a rapidly developing society, with advanced technology, information flow, people's communication is getting closer and closer, and life is becoming more and more convenient. Big data is the product of this high-tech era. With the advent of the cloud era, big data (Big data) has also attracted more and more attention. Big data is often used to describe the large amount of unstructured and semi-structured data created by a company that would take too much time and money to download to a relational database for analysis. Big data analysis is often associated with cloud computing because real-time analysis of large data sets requires a framework like MapReduce to distribute work among tens, hundreds, or even thousands of computers. [0003]...

AI Technical Summary

Problems solved by technology

[0005] At present, the classification and grading of suppliers by enterprises relies heavily on subjective evaluation, and the lack of effective classification and grading methods has caused problems such as low efficiency and excessive personal discretion in supplier management, making supplier evaluation and selection inconsistent. Objectivity and injustice have caused greater risks for the supply chain management and operation of enterprises, such as high comprehensive procurement costs and prone to corruption in the procurement field.

There is a lack of scientific, reasonable, efficient, and objective decision-making models and methods for supplier classification and grading. Therefore, we propose a supplier classification and grading model and method based on big data analysis to solve the above problems.

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