运筹与管理2018，Vol.27Issue(3)：41-49,9.DOI:10.12005/orms.2018.0058
基于改进支持向量机的高端装备制造业供应商分类研究
Research on Supplier Classification in High-end Equipment Manufacturing Industry Based on Improved Support Vector Machine
摘要
Abstract
There are some limitations of existing supplier classification methods which target high-end equipment manufacturing industry.From the perspective of interdependence,the paper divides suppliers of high-end equip-ment manufacturing industry into four types,including interdependence, supplier dominance, buyer dominance and independence.Meanwhile, the paper constructs a supplier classification index system based on literature analysis,interviews and expert judgment.The paper further proposes a classification model of high-end equip-ment manufacturing industry suppliers based on improved support vector machine.According to different misclas-sification costs of suppliers,the proposed model designs the cost sensitive support vector machine classifier.The particle swarm optimization algorithm is used to optimize model parameters,and the obtained optimized two-class models are assembled to realize multi-class classification according to probability outputs.The experimental results show that the proposed model can improve the classification performance of existing methods and reduce overall cost of errors.The proposed model also can identify suppliers which have significant impact on high-end equipment manufacturing enterprises effectively.The paper aims to provide a theoretical basis and practical guideline for high-end equipment manufacturing enterprises to implement supplier classification management.关键词
供应商分类/相互依赖/支持向量机/代价敏感学习/粒子群算法Key words
supplier classification/interdependence/support vector machine/cost sensitive learning/particle swarm optimization分类
管理科学引用本文复制引用
李坤,石春生,郑作龙,王成刚..基于改进支持向量机的高端装备制造业供应商分类研究[J].运筹与管理,2018,27(3):41-49,9.基金项目
国家自然科学基金项目(71272176) （71272176）
