NDLI: Collaborative identification of coordination questions in supply chain based on support vector machines

Content Provider	IEEE Xplore Digital Library
Author	Xiang-Yang Li Hui Li Yan-Chun Zhou
Copyright Year	2005
Description	Author affiliation: Sch. of Manage., Harbin Inst. of Technol., China (Xiang-Yang Li; Hui Li; Yan-Chun Zhou)
Abstract	Aiming at guarantee the coordination of supply chain, the working flow of coordination questions identification of supply chain based on support vector machine (SVM) is analyzed. Identification model of coordination questions based on SVM is established by formalization, which mainly includes three parts: resources of coordination questions identification in supply chain, collaborative identification of coordination questions and results of collaborative identification. Degree of similarity of supply chain partners (SCP) feature sets is proposed to be a rule in the process of SVM feature selection. And identification accuracy of SCP is proposed to determined weighs of SCP. Finally the approach is simulated in distributor's marking ability identification.
Sponsorship	IEEE Syst., Man and Cybernetics Tech. Comm. on Cybernetics, Hong Kong Polytechnic Univ. Hebei Univ. South China Univ. Chongqing Univ. Sun Yat-sen Univ. Harbin Inst. of Technol. and Int. Univ. in Germany
Starting Page	3662
Ending Page	3667
File Size	356546
Page Count	6
File Format	PDF
ISBN	0780390911
DOI	10.1109/ICMLC.2005.1527577
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collaboration Supply chains Support vector machines Collaborative work Supply chain management Machine learning Support vector machine classification Logistics Learning systems Machine learning algorithms supply chain management Logistics management SVM collaborative identification of coordination questions
Content Type	Text
Resource Type	Article

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