System of Research Suppliers on Big Data Technology: Design and Research on Management System of Scientific Research Suppliers in Colleges and Universities Based on Big Data Technology

Zhanbin Wang, Guangzhu Dong, Xi Ba
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Abstract

Multiplex types of disciplines and complex stages are the characteristics of management of scientific research suppliers in Colleges and Universities. Therefore, the enterprise supplier management ideas can not be copied completely by it. All processes of scientific research supplier management in Colleges and Universities are mentioned in the article. It focuses on analysis of Characteristics and difficulties of scientific research supplier management in Colleges and Universities, and studies the application advantages of big data technology in the management and maintenance of University suppliers. Based on the research above, a software platform design of university scientific research supplier management system is proposed by applying big data technology in this article. This design not only establishes supplier database, but introduces big data technology to process Internet information in a direction to assist in updating the directory. Moreover, the management process of university scientific research suppliers is standardized, and the reliability of supplier list update is improved in the article. University scientific research, Supplier management , Supplier database construction
基于大数据技术的科研供应商体系——基于大数据技术的高校科研供应商管理体系设计与研究
学科类型多、阶段复杂是高校科研供给方管理的特点。因此,企业的供应商管理思路不可能完全被其复制。本文论述了高校科研供应商管理的各个环节。重点分析了高校科研供应商管理的特点和难点,研究了大数据技术在高校供应商管理维护中的应用优势。基于以上研究,本文提出了一种应用大数据技术的高校科研供应商管理系统软件平台设计。本设计在建立供应商数据库的基础上,引入大数据技术对互联网信息进行处理,以辅助目录的更新。规范了高校科研供应商的管理流程,提高了供应商清单更新的可靠性。高校科研、供应商管理、供应商数据库建设
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