Utilizing SDN Infrastructure to provide Smart Services from the Factory to the Cloud

Kobzan, Thomas; Heymann, Sascha; Schriegel, Sebastian; Jasperneite, Jürgen

doi:10.1109/wfcs.2019.8757935

Cited by 6 publications

(1 citation statement)

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“…The results demonstrated that the capacity loss of a bottleneck workstation and delivery tardiness could be significantly improved by the proposed hybrid genetic algorithm. This contribution provided an insight into how this objective can be achieved by utilizing software-defined networking for the specific use of the smart factory web [10]. To address the heterogeneous and changing demands of the users, the factory has made flexible not only its production assets but also its network in terms of management and configuration.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Intelligent Automated Production-Line Control System

Lee

Hsu

et al. 2021

Electronics

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Owing to the different consumption habits of people, the market has rapidly changed, and customized demands have increased in recent years. This issue has led to the need for manufacturing industry to improve their production-process automation system control to become faster and more flexible. An intelligent automated production-line control system (IAPLCS) is proposed in this study, in which a graphic control system (GCS) is designed to integrate equipment communications in automated production. This system runs complex packaged programs for function blocks, which enable users to easily build function blocks in GCS. Users can plan the control flow of the system to control the machine operation. Not only is a web interface set in the IAPLCS, which makes it easier for users to operate and monitor, but also Internet-of-Things (IoT) sensors can be added for data collection and analysis based on the characteristics of the production line and equipment. Finally, the proposed control system was implemented in an actual production line to verify its feasibility.

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Section: Introductionmentioning

confidence: 99%