Digital Twin with a Perspective from Manufacturing Industry

Wang, Haibo; Chen, Shigang; Sami, Sami Ul Islam; Rahman, Fahim; Tehranipoor, Mohammad

doi:10.1007/978-3-030-64448-2_2

Cited by 3 publications

(1 citation statement)

References 106 publications

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“…Research on digital twins for manufacturing spans decades and includes the Virtual Factory (Fisher 1986), work by Jain et al (2015) on the concept, and an entire panel held on the topic more recently (Shao et al 2019). Furthermore, extensive research has also been conducted on digital twins for smart manufacturing system design (Leng et al 2021;Haddod and Dingli 2021;Wang et al 2021). As mentioned earlier, however, less work has been done on digital twins for cybersecurity (Pokhrel, Katta, and Colomo-Palacios 2020).…”

Section: Related Workmentioning

confidence: 99%

Simulating Energy and Security Interactions in Semiconductor Manufacturing: Insights from the Intel Minifab Model

Weaver

William

Hasenbein

et al. 2022

2022 Winter Simulation Conference (WSC)

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Semiconductor manufacturing, particularly wafer fabrication, is a highly complex system of processes and workflows. Fabrication facilities must deal with re-entrant flows to support multiple types of wafers being produced simultaneously, each with their own deadlines and specifications. The manufacturing process itself depends upon the ability to control and programmatically adjust a variety of environmental conditions. In addition, wafer fabrication consumes large amounts of energy, particularly electricity.

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