基于AHP方法的大数据供应商选择研究  

Research on Big Data Supplier Selection Based on AHP Method

作　　者：刘帅[1] 王红春[1] 

机构地区：[1]北京建筑大学经济管理与工程学院,北京100044

出　　处：《物流工程与管理》2016年第6期88-91,共4页Logistics Engineering and Management

基　　金：国家自然科学基金基于大数据的供应链协同机制研究61472027;北京市哲学科学规划基于知识管理的供应链应急管理研究13JGC096

摘　　要：为更好利用供应链从采购、仓储再到销售等各个环节产生的信息流和数据流,帮助企业在构建大数据供应链时对供应商评价和选择,文中通过对专家访谈,基于层次分析法建立了大数据供应商评价模型,确定供应商选择的评价体系。通过层次分析法软件计算得出相关指标的排序,结论认为合作伙伴是否拥有大数据质量资源管理体系是构建大数据供应链时最重要的决策指标。文中将首次将大数据与AHP方法结合,考虑了若干大数据指标,为企业在构建大数据供应链时提供了一些参考意见。To make better use of the information flow and data flow from the supply chain during procurement,warehousing and distribution, help enterprises to evaluation and selection of suppliers when build big data supply chain.Through interviews with experts, a big data supplier evaluation model is established based on AHP, the evaluation system ofsupplier selection is determined. Finally, the results were analyzed through the analytic hierarchy process software to drawthe relevant indicators of the sort. It is concluded that whether a partner has a large data quality resource management systemis one of the most important decision indicators for the construction of big data supply chain. The combination of big dataand AHP method is applied^ and several big data indexes are considered. And provides a number of reference for enterprisesin the construction of a large data supply chain.

关 键 词：大数据 供应商选择 AHP 

分 类 号：F274[经济管理—企业管理]