应用大数据进行供应链管理绩效提升的研究

Research on the Performance Improvement of Supply Chain Management Based on Big Data

大数据分析已经成为各行各业商业领袖的必修课。能够提供竞争优势的分析应用程序出现在供应链决策目录中—从目标定位营销到优化供应链库存,再到供应商风险评估。虽然许多公司利用它来获取新的见解和创造新的价值形式,但其他公司还没有利用大数据来改变其供应链运营。当前对于供应链中大数据分析应用还缺乏深入研究。通过相关文献梳理,文中对国外供应链中大数据应用进行深入探析,结合国内外研究成果回顾了不同行业供应链中的大数据应用及其商业价值,针对大数据应用对供应链不同管理环节的应用和绩效提升进行了探讨。

Big data analysis has become an imperative for business leaders across every industry sector. Analytics applications that can deliver a competitive advantage appear all along the supply chain decision spectrum-from targeted location-based marketing to optimizing supply chain inventories to enabling supplier risk assessment. While many companies use it to gain new insights and create new forms of value,other companies have yet to use big data to change their supply chain operations.At present,there is still a lack of in-depth research on the application of big data analysis in supply chain. Through combing the relevant literature,this paper makes a deep analysis of the application of big data in foreign supply chain,reviews the application of big data and its commercial value in supply chain of different industries at home and abroad,and probes into the performance improvement of enterprise supply chain management for Big Data application.