TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”
MESWARM: A Modular and AI-Driven Manufacturing Execution System for Industry 4.0
- 1 ELPLANT DOO, trg Topolivaca 4, 34000 Kragujevac, Serbia
- 2 Faculty of Technical Sciences - Cacak, Universtity of Kragujevac, Svetog Save 65, 32000 Cacak, Serbia
Abstract
The rapid advancement of Industry 4.0 technologies has significantly transformed manufacturing environments, necessitating the adoption of intelligent and scalable solutions. MESWARM is a modern platform designed to digitize and optimize manufacturing processes, offering industrial enterprises a means to enhance efficiency, reliability, and sustainability. By integrating traditional Manufacturing Execution System functionalities with cutting-edge technologies such as Artificial Intelligence and the Internet of Things, MESWARM provides a flexible, modular system tailored to specific production needs. It’s architecture and key functionalities are outlined, highlighting its core modules such as Configuration, Production Management, and IoT. The potential of future modules, including Service Management, Adaptive Logic, Energy Management, Document Management, and AI-driven analytics, is also explored. By leveraging real-time data collection and analysis through MQTT-based communication, MESWARM facilitates precise production monitoring and predictive maintenance, minimizing downtime and enhancing operational decision-making. Real-world implementations are examined, showcasing its impact on production efficiency and system scalability.
Keywords
References
- Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941-2962. (doi:10.1080/00207543.2018.1444806)
- Zhang, Y., Qiu, M., Tsai, C. W., Hassan, M. M., & Alamri, A. (2020). Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Systems Journal, 11(1), 88-95. (doi:10.1109/JSYST.2015.2460747)
- Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for Industry 4.0 scenarios. Proceedings of the 49th Hawaii International Conference on System Sciences, 3928-3937. (doi:10.1109/HICSS.2016.488)
- https://meswarm.com/
- Wang, S., Wan, J., Li, D., & Zhang, C. (2016). Implementing smart factory of Industry 4.0: An outlook. International Journal of Distributed Sensor Networks, 4, 1-10. (doi:10.1155/2016/3159805)
- Lee, J., Bagheri, B., & Kao, H. A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3(1), 18-23. (doi:10.1016/j.mfglet.2014.12.001)
- Jeschke, S., Brecher, C., Song, H., & Rawat, D. B. (2017). Industrial Internet of Things: Cybermanufacturing Systems. Springer. (doi:10.1007/978-3-319-42559-7)
- Kusiak, A. (2018). Smart manufacturing. International Journal of Production Research, 56(1-2), 508-517. (doi:10.1080/00207543.2017.1351644)