NEURAL NETWORK-BASED PROCUREMENT MODE SELECTION OF MRO MATERIALS

摘要：

Maintenance,Repair and operations (MRO) have following features:large sum of types,relatively low requirement,and high transition cost.It costs companies a lot of money and human resource on MRO procurement.In order to make MRO procurement more efficient and scientific,this paper compared the cost of two MRO supply chain modes to get a scope for each mode.And then SOM neural networks method can be used to cluster the materials.Different types of materials take advantage of different procurement mode.

关键词： MRO Procurement mode Industrial logistics Neural network Clustering

作者: Zhen Huang Yiran Zhang Haoxiong Yang Yongsheng Zhou Li Cui

作者单位: School of Business,Beijing Technology and Business University,Fucheng Road,Haidian District,Beijing, School of Business,Beijing Technology and Business University,Beijing,China

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 577-580

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）