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The Asian Journal of Business Environment(AJBE) vol.13 no.4.jpg
KCI등재 학술저널

Using Support Vector Machine Method to Improve Company Performance Management

Using Support Vector Machine Method to Improve Company Performance Management

Purpose: To explore the application prospect of support vector machine (SVM) in supply chain management and its practical application in supply chain performance evaluation practice. Research design, data and methodology: This paper establishes the performance evaluation index system of supply chain management according to the balanced scorecard (BSC) theory, and establishes the SVM model of supply chain management performance evaluation based on the SVM principle. Results: The performance evaluation results of the supply chain of an electric power equipment Co., Ltd. in Harbin established by using the model are consistent with the actual situation, which indicates the nature and accuracy of the possible reflection of the established supply chain performance evaluation model. Conclusions: The results show that SVM model can be used to evaluate enterprise supply chain management performance indicators, and can improve enterprise supply chain management performance, thus demonstrating the effectiveness of the model.

1. Introduction

2. An Index System for Evaluating the Performance of Supply Chain Management

3. The Proposed Support Vector Regression Algorithm

4. Experiment and Comparisons

5. Conclusion

References

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