Research Article
Cloud-Based Master Data Platform for Smart Manufacturing Process
@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
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.