Supplier purchase management method and system based on decision tree

Abstract

The invention relates to the field of decision tree purchase management, and provides a decision tree-based supplier purchase management method and system, and the method comprises the steps: S1, obtaining the index information of enterprise suppliers, and integrating and storing the index information into a database; s2, extracting a sample data set in the database, and constructing a decision tree through the sample data set; s3, compiling an expected index according to the purchasing scheme of the supplier, and obtaining a decision result through the expected index and the decision tree; s4, judging whether the decision result meets a preset requirement or not, if yes, entering the step S5, and if not, outputting prompt early warning information and ending the process; s5, obtaining the sample update quantity of the database, if the sample update quantity reaches a preset threshold value, returning to the step S2 to reconstruct the decision tree, and pruning the current decision tree according to the hit rate set of the historical decision tree; otherwise, returning to the step S3. The decision-making tree can be dynamically refreshed, and the decision-making tree is more and more accurate along with more and more sample data, so that purchase management always keeps high accuracy.

Description

technical field [0001] The invention relates to the field of decision tree procurement management, in particular to a decision tree-based supplier procurement management method and system. Background technique [0002] Scientific decision-making is an important responsibility of modern managers. In the enterprise supplier procurement management, we often encounter the following scenarios: several procurement plans have been formulated, and the internal and external environment of the enterprise is analyzed. Most of the conditions are known, but there are still certain uncertain factors. There are certain risks in procurement, especially in the manufacturing industry, the quality of supplier procurement directly affects the entire production chain of the enterprise. In addition, the existing procurement management methods cannot update the decision-making system in real time, so that the decision-making system cannot be adjusted synchronously with the change of the sample, s...

AI Technical Summary

Problems solved by technology

Procurement has certain risks, especially in the manufacturing industry, the quality of supplier procurement directly affects the entire production chain of the enterprise

Moreover, the existing procurement management methods cannot update the decision-making system in real time, resulting in the decision-making system not being able to make adjustments synchronously with changes in the sample, making the accuracy of the decision-making system gradually decrease over time

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