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Using additive manufacturing in supply chains: a simulation-based analysis of supply resilience

Author

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  • Matthias M. Meyer
  • Andreas H. Glas
  • Michael Eßig

Abstract

The vulnerability of supply chains is more evident during crises. Recently, the COVID-19 pandemic, container ship blockades, and marine traffic jams in the Suez Canal have caused severe supply disruptions. Additive manufacturing (AM) often referred to as 3D printing, at demand sites, can solve supply disruptions. This study investigates how AM in different configurations affects supply availability. To this end, we simulate a healthcare supply chain. The simulation considers daily business demand and operational and disruptive supply risks. We measure demand, orders, stock levels, and availability indicators and compare them across supply configurations. The simulation allows identifying the most effective resilience configuration related to the cost-per-availability ratio. Overall, simulations support using AM as a risk-mitigation strategy.

Suggested Citation

  • Matthias M. Meyer & Andreas H. Glas & Michael Eßig, 2022. "Using additive manufacturing in supply chains: a simulation-based analysis of supply resilience," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 15(3), pages 304-328.
    • Handle: RePEc:ids:ijisma:v:15:y:2022:i:3:p:304-328
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