关键词: 供应链, 支持向量机, 统计学习理论, 伙伴企业

Abstract: To overcome the limitation of the traditional machine learning algorithms in Supply Chain (SC) field, a new machine-learning algorithm of Support Vector Machine(SVM) was proposed. The algorithm differed from those traditional ones in as neural networks. It could resolve the problem of Partner Enterprise Selection in SC Management more efficiently. In order to show its superiority, a real training experiment based on the data from a manufacture Enterprise was discussed in detail. Compared with the results derived from neural networks, the experimental results show that SVM not only improves the training efficiency, but also possesses higher accuracy.

Key words: supply chain, support vector machine, statistical learning theory, partner enterprise