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A Digital Twin–Based Approach to Reinforce Supply Chain Resilience: Simulation of Semiconductor Shortages

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Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures (APMS 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 692))

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Abstract

Semiconductor shortage adversely impacted industries and stress-tested supply chain (SC) resilience. One of the lessons learned through the semiconductor crisis is that low SC visibility intensifies the severity of the ripple effect caused by chip shortages. Digital SC twins have a high potential to assist resilience analysis in semiconductor SCs because the industry is rich in data and has deployed simulations for a long time. In this study, we examine how chip makers can cope with the ripple effect by the balanced approach combining case study and simulation. The case studies of Intel Corporation and Infineon Technologies reveal that both operational and disruption risks account for chip shortages. Manufacturing flexibility is the key resistance measure that the leading chip makers utilize. Efficient contingency plans, supplier collaboration, and repurposing help them in capacity adaptation. The simulation results underscore the consequences of disruption risks and exemplify an aggravated disruption overlay. We also discuss the potential employment of a digital SC twin to remedy ripple effect and deliver trusted solutions in the high time-pressure context.

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Notes

  1. 1.

    Capacitor is a component to mitigate noise and controls the voltage power to the chip.

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Author information

Authors and Affiliations

  1. Berlin School of Economics and Law, Badensche Str. 50, 10825, Berlin, Germany

    Phu Nguyen & Dmitry Ivanov

  2. Norwegian University of Science and Technology, 7491, Trondheim, Norway

    Fabio Sgarbossa

Authors
  1. Phu Nguyen
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  2. Dmitry Ivanov
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  3. Fabio Sgarbossa
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Corresponding author

Correspondence to Phu Nguyen .

Editor information

Editors and Affiliations

  1. Norwegian University of Science and Technology, Trondheim, Norway

    Erlend Alfnes

  2. Norwegian University of Science and Technology, Trondheim, Norway

    Anita Romsdal

  3. Norwegian University of Science and Technology, Trondheim, Norway

    Jan Ola Strandhagen

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Nguyen, P., Ivanov, D., Sgarbossa, F. (2023). A Digital Twin–Based Approach to Reinforce Supply Chain Resilience: Simulation of Semiconductor Shortages. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-031-43688-8_39

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  • DOI: https://doi.org/10.1007/978-3-031-43688-8_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43687-1

  • Online ISBN: 978-3-031-43688-8

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