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Using cloud computing technology to design and implementation of smart shop floor control system

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Abstract

Smart manufacturing has evolved and become more automated, computerized and cloud computing. The current shop floor control system (SFCS) has been implemented for many years, and has gradually encountered many problems. It moves towards the flexible smart manufacturing owing to the multiplex customer demand. Therefore, the current SFCS has been customized in many versions, which makes the low maintenance efficiency and the version control difficult. This paper is using cloud computing as a platform of developing and integrating multiplex customer demand to establish the integrity smart system function, and using Team Server to centralize the program versions to solve version management. Besides, the maintenance efficiency is raised by using production parameter configuration of the service-oriented design. The cloud based method enables deploying to be performed in any place other than the production line, which also facilitates the promotion of maintenance efficiency. The subscription function offered by the reporting service provides reports at specific time. The result of this research is to develop the cloud-based smart SFCS, which can achieve the goal of integrating production process and the promotion of production efficiency. With the system report, cloud-based smart SFCS can support managers to make right decision to promote the product quality.

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Acknowledgements

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through Research Group no. RG-1441-331. This work was also supported by National Natural Science Foundation of China (No. 61901206) and Key Research and Development Project of Shandong Province (No. 2019JZZY010134).

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Correspondence to Changqiang Jing.

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Li, J., Chen, D., Peng, YS. et al. Using cloud computing technology to design and implementation of smart shop floor control system. J Ambient Intell Human Comput (2020). https://doi.org/10.1007/s12652-020-02040-9

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  • DOI: https://doi.org/10.1007/s12652-020-02040-9

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