Original scientific paper

https://doi.org/10.17559/TV-20210718091658

Research on Cloud Enterprise Resource Integration and Scheduling Technology Based on Mixed Set Programming

Wei Shi ; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China; Beijing Aerospace Smart Manufacturing Technology of Development Co., Ltd., Beijing, P.R. China
Dunbing Tang* ; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China
Ping Zou ; Beijing Aerospace Smart Manufacturing Technology of Development Co., Ltd., Beijing, P.R. China

Abstract

With the development of Industry 4.0 and intelligent manufacturing, aiming at the incompatibility of heterogeneous manufacturing resource interfaces and the low efficiency of collaborative scheduling of manufacturing resources among enterprises，we proposed the resource integration and scheduling strategy among enterprises based on Mixed Set Programming [1]. By using the metadata and ontology modeling methods, we were able to realize a standardized model description of manufacturing resources. At last, an enterprise application case was discussed to verify the resources integration and scheduling strategy based on Mixed Set Programming is effective to optimize and improve the efficiency of the collaborative scheduling of resources among enterprises. The resources integration and scheduling strategy based on Mixed Set Programming could be applied to promote the optimal allocation of manufacturing resources.

Keywords

Cloud Manufacturing; Cloud Manufacturing Service Platform; Manufacturing Resources; Ontology Modeling

Hrčak ID:

264113

URI

https://hrcak.srce.hr/264113

Publication date:

7.11.2021.

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