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Integration Framework of MES Toward Data Security Interoperation.

Wei, S., Bai, Y., Xu, L., Mu, H., Liu, K. and Wang, X., 2020. Integration Framework of MES Toward Data Security Interoperation. In: CAiSE 2020, 8-12 June 2020, Grenoble, France, 41 - 52.

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DOI: 10.1007/978-3-030-49165-9_4

Abstract

© 2020, Springer Nature Switzerland AG. The core problem of the application of MES (Manufacturing Execution System) in intelligent manufacturing systems is integration, which solves the problem of the data interoperation between the distributed manufacturing systems. The previous researches on MES integration rarely considered the problem of system data security access. A three-level data security access mechanism based on the independence of the system administrators, security administrators, and security auditors is proposed which integrated into the MES integration framework to guarantee the business and engineering data security access for the related distributed clients. The principle is using the domain to make the logical isolation for different clients and data sources and applying the pre-defined data sharing rules for safe access. In the proposed MES integration framework model, the data interoperation between MES and the engineering software systems is discussed which includes ERP (Enterprise Resource Management), CAPP (Computer Aided Process Planning), DNC (Distribution Numerical Control), WMS (Warehouse Management System), and SCADA (Supervisory Control and Data Acquisition), etc., the implementation method of personalized data display GUI is discussed as well. The study is based on the KMMES developed by Wuhan KM-Software of China, and it has been deployed in over forty companies from the sections of aerospace, automotive, shipbuilding and other industries.

Item Type:Conference or Workshop Item (Paper)
ISSN:1865-1348
Additional Information:This project is funded by the State Key Research and Development Program of China (2017YFE0118700); and received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734599
Group:Faculty of Science & Technology
ID Code:34117
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:08 Jun 2020 16:02
Last Modified:08 Jun 2020 16:02

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