大数据环境下企业协同创新平台供应链优化与实现

摘要

大数据环境下,"知识"范畴扩大,为使供应链协同创新在大数据环境下实现最优,需要一个将海量数据资源汇集、分析、挖掘、应用的平台.通过分析供应链链条上企业协同创新大数据的来源途径,提出大数据环境下供应链企业协同创新平台的基本架构.在此基础上,进一步分析了该协同创新平台的三大实现路径:行业路径、区域路径、需求路径,并构建数学模型优化实现路径,同时提出最优路径策略.%In BIG DATA environment, along with course of the knowledge scope, in order to realize the optimal goal of collaborative innovation of supply chain in a BIG DATA Environment, to need a platform to collect, analyze, mining, and apply massive data resources. This paper first proposes the basic framework of collaborative innovation platform for supply chain enterprises in BIG DATA Environment by analyzing the source approach of the big data of collaborative innovation of supply chain, and then analyzes three ways to realize the collaborative innovation platform: industry path, regional path, demand path, Finally, This paper constructs a mathematical model to optimize the realization path and puts forward optimal path strategy.