Identification of supply chain disruptions with economic performance of firms using multi-category support vector machines

ShiJie Ye, Zhi Xiao and Guangfu Zhu

International Journal of Production Research, 2015, vol. 53, issue 10, 3086-3103

Abstract: From a practical perspective, a novel method using multi-category support vector machines (MC-SVM) is proposed to identify supply chain disruptions (SCD). With the data related to economic performance from quarter statements and individual announcements published by the listed firms, the variables of MC-SVM are constructed firstly. Secondly, MC-SVM is used for matching the portfolios of firms, which helps the map from economic performance to SCD by applying MC-SVM again. Finally, a case study is given to testify the ability of proposed method with the data from the listed firms in China.

Date: 2015
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Citations: View citations in EconPapers (4)

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DOI: 10.1080/00207543.2014.974838

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