摘要
针对再制造闭环供应链在大数据时代收集、分析、共享合作伙伴情报能力不足且私有情报保密能力不强的问题,分析大数据时代闭环供应链竞争情报的特点以及再制造闭环供应链的发展与面临的挑战,构建大数据背景下的再制造闭环供应链竞争情报系统,实现大数据情报的收集、储存、分析、服务、反情报的有效拟合,在充分利用大数据合作伙伴情报提高利润的同时,为减少私有情报风险提供有效的支持。
In order to solve the problems of inefficient sources collecting, processing, sharing capability and weak private information security capability of remanufacturing closed-loop supply chain with big data, the characteristics of the closed-loop supply chain intelligence competition and the development of the remanufacturing closed-loop supply chain with big data were analyzed. A remanufacturing closed-loop supply chain competitive intelligence system with big data was established. It realized the effective fit of five subsystems, such as the collection, storage, analysis, services and counterintelligence, providing effective support for closed loop supply chain effectively using partner intelligence with big data, and can also increase profits and reduce intelligence risk.
出处
《图书情报工作》
CSSCI
北大核心
2014年第2期96-101,共6页
Library and Information Service
基金
教育部人文社会科学研究规划基金资助项目"大型工业城市低碳发展的途径
模式与对策研究--以天津市为例"(项目编号:11YJA630046)
天津市经济和信息化委员会资助项目"天津市发展绿色经济
循环经济
低碳经济的对策研究"(项目编号:2010-KT-009(2))研究成果之一
关键词
大数据
竞争情报系统
大规模定制
闭环供应链
big data competitive intelligence mass customization closed-loop supply
