| 王梓蓉.大数据环境下企业协同创新平台供应链优化与实现[J].中国科技资源导刊,2018,(2):34~39 |
| 大数据环境下企业协同创新平台供应链优化与实现 |
| Supply Chain Optimization and Its Realization in Collaborative Innovation PlatformBetween Enterprises on BIG DATA Environment |
| 投稿时间：2017-05-26 |
| DOI： |
| 中文关键词: 大数据；供应链；协同创新；协同创新平台；实现路径 |
| 英文关键词: BIG DATA, supply chain, collaborative innovation, collaborative innovation platform, realization path |
| 基金项目:甘肃省科技厅青年科技基金计划项目“大数据时代下供应链企业协同创新平台研究”（1606RJYA221）。 |
| 作者 | 单位 | | 王梓蓉 | 兰州财经大学信息工程学院，甘肃兰州 730020 |
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| 摘要点击次数: 2054 |
| 全文下载次数: 1538 |
| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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