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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。
In order to make better use of the information flow and data flow generated by the supply chain from procurement, warehousing and sales to the sales and other aspects to help enterprises in the construction of big data supply chain evaluation and selection of suppliers, the article through expert interviews, based on analytic hierarchy process The establishment of a big data supplier evaluation model to determine the supplier selection evaluation system. Through the analytic hierarchy process software to calculate the ranking of relevant indicators, the conclusion that the partner has a big data quality resource management system is to build the big data supply chain, the most important decision index. The article will for the first time combine big data with AHP methods, taking into account a number of big data indicators, which provide some reference for enterprises in the construction of big data supply chain.