Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019

Research Article

Cloud-Based Master Data Platform for Smart Manufacturing Process

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  • @INPROCEEDINGS{10.1007/978-3-030-48513-9_13,
        author={Lei Ren and Ziqiao Zhang and Chun Zhao and Guojun Zhang},
        title={Cloud-Based Master Data Platform for Smart Manufacturing Process},
        proceedings={Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019},
        proceedings_a={CLOUDCOMP},
        year={2020},
        month={6},
        keywords={Cloud manufacturing Master data management Graph database},
        doi={10.1007/978-3-030-48513-9_13}
    }
    
  • Lei Ren
    Ziqiao Zhang
    Chun Zhao
    Guojun Zhang
    Year: 2020
    Cloud-Based Master Data Platform for Smart Manufacturing Process
    CLOUDCOMP
    Springer
    DOI: 10.1007/978-3-030-48513-9_13
Lei Ren,*, Ziqiao Zhang1, Chun Zhao2, Guojun Zhang1
  • 1: Beihang University
  • 2: Beijing Information Science and Technology University
*Contact email: renlei@buaa.edu.cn

Abstract

With the development of technology and application of industrial internet of things, a large amount of data is generated in the research and development (R&D) processes in manufacturing domain, including manufacturing procedures, enterprise management, and product transactions. However, these data usually maintained in different departments, which result in information isolation and data with relations cannot be synchronized. This issue leads to the waste of storage space for redundant data and human resources for coordinating essential information. Aiming these problems, we proposed a cloud-based data management platform architecture to collect and maintain the data from isolated domains and distributed departments. A graph database is employed to store the data emphasizing the relations between entities and Master Data Management is deployed to link the entities cross standalone databases. The efficiency of inspecting, managing and updating information across databases shall be improved by the features of the proposed platform.