Title :
Study on selection of logistics supplier based on support vector machine
Author_Institution :
Sch. of Logistics, Beijing Wuzi Univ., Beijing, China
Abstract :
The selection of logistics supplier is an important link in supply chain management, while the assessment of capacity of logistics supplier help client select logistics supplier in a better way. In view of the assessment and selection, this article proposes supplier assessment and selection based on support vector machine in special connection with small sample event, which realizes the unification of assessment factors and results, improves the precision of selection and provides an effective method for the assessment of the capacity logistics supplier.
Keywords :
logistics; supply chain management; support vector machines; logistics supplier; supply chain management; support vector machine; Cybernetics; Human factors; Linear programming; Logistics; Machine learning; Manufacturing; Supply chain management; Supply chains; Support vector machines; Transportation; Assessment index; Logistics supplier; Support Vector Machine;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212430