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Digital Twin for Energy Optimization in an SMT-PCB Assembly Line

Karanjkar, Neha and Joglekar, Ashish and Mohanty, Sampad and Prabhu, Venkatesh and Raghunath, D and Sundaresan, Rajesh (2018) Digital Twin for Energy Optimization in an SMT-PCB Assembly Line. In: 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), 1-3 Nov. 2018, Bali, Indonesia, pp. 85-89.

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Official URL: https://doi.org/10.1109/IOTAIS.2018.8600830


This paper presents a case study for the use of an IoT-driven digital twin for energy optimization in an automated Surface Mount Technology (SMT) PCB assembly line containing legacy machines. The line was instrumented with multiple sensors for measuring machine-wise activity and energy consumption. A software platform for data aggregation and a discrete-event digital twin of the line were built entirely using open-source tools. Based on the insights gained from data collected over several days, we propose a buffering-based solution for improving the energy efficiency of the line, and evaluate its impact using simulations of the digital twin. The results show that a 2.7x reduction in the energy consumption is possible via buffer insertion without significantly affecting line throughput.

Item Type: Conference Proceedings
Publisher: IEEE
Additional Information: Copyright for this article belongs to IEEE
Keywords: Internet-of-Things; Digital Twin; Manufacturing
Department/Centre: Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Date Deposited: 29 May 2019 09:40
Last Modified: 30 May 2019 08:33
URI: http://eprints.iisc.ac.in/id/eprint/62353

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