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.
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Acknowledgment
The research is supported by The National Key Research and Development Program of China No. 2018YFB1004001, and the NSFC (National Science Foundation of China) project No. 61572057 and 61836001.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ren, L., Zhang, Z., Zhao, C., Zhang, G. (2020). Cloud-Based Master Data Platform for Smart Manufacturing Process. In: Zhang, X., Liu, G., Qiu, M., Xiang, W., Huang, T. (eds) Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. CloudComp SmartGift 2019 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-48513-9_13
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DOI: https://doi.org/10.1007/978-3-030-48513-9_13
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