Manufacturing material purchasing analysis method based on decision tree algorithm

Abstract

The invention provides a manufacturing material purchasing analysis method based on a decision tree algorithm. A decision tree serves as a decision analysis method based on a classification idea. The improved decision tree algorithm is used to analyze and predict problems in purchasing manufacturing materials. A front pruning method and a tree depth limitation method are used to limit segmentation of the decision tree, and a rear pruning method is used to construct an optimal decision tree. The optimal decision tree provides a certain purchasing scheme. The algorithm is prevented from infinite diverging effectively due to limitation of the segmentation of the decision tree by the front pruning method and the tree depth limitation method. An information gain standard deviation serves as a limitation condition of the front pruning method, and the accuracy of the algorithm is improved. The optimal decision tree constructed via the rear pruning method is simple, effective, and easy to realize and understand. The purchasing scheme provided by the optimal decision tree is simple, clear and highly practical.

Description

technical field [0001] The invention relates to the field of enterprise management, in particular to the field of using algorithms to analyze the procurement of manufacturing materials. Background technique [0002] With the integration of the global market and the advent of the information age, professional production can play a huge role, and the proportion of corporate procurement has also increased greatly, and the importance of procurement has been increasingly recognized by people. Globally, in the product composition of industrial enterprises, the cost of purchased raw materials and parts varies with different industries, generally ranging from 30% to 90%, with an average level of more than 60%. From a global perspective, for a typical enterprise, procurement costs (including raw materials and components) account for 60%. In China's industrial enterprises, the procurement cost of various materials accounts for 70% of the enterprise's sales cost. Obviously, procureme...

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Problems solved by technology

[0006] The purpose of the present invention is to overcome the problems existing in the prior art: the C4.5 algorithm scans many samples and has low efficiency, the accuracy rate cannot reach the desired effect, and C4.5 is only based on field analysis when analyzing material purchases, and the error rate is high

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