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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Abstract
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 |
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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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