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Digital Twins in Supply Chain Management: A Brief Literature Review

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Intelligent Computing and Optimization (ICO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1072))

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Abstract

The rapid interest in the continuous improvement of supply chain management systems has motivated the development of digital tools in the automation of business problems. Currently, companies must continually adapt to changing conditions with respect to the management of their supply chain. However, the lack of real-time data available and responsive planning systems make this adaptation difficult. The current situation of the technology of digital twins is to migrate to the digital. More and more companies will develop and introduce their own digital twins in their business processes. This manuscript presents a literature review of the current context of digital twins. A total of 4884 searches combining keywords with respect to digital twins were analyzed. The years analyzed in the databases were 2017–2019.

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Authors and Affiliations

  1. Facultad de Ingeniería, Universidad Panamericana, Augusto Rodin 498, 03920, Mexico City, Mexico

    Jose Antonio Marmolejo-Saucedo, Margarita Hurtado-Hernandez & Ricardo Suarez-Valdes

Authors
  1. Jose Antonio Marmolejo-Saucedo
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  2. Margarita Hurtado-Hernandez
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  3. Ricardo Suarez-Valdes
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Corresponding author

Correspondence to Jose Antonio Marmolejo-Saucedo .

Editor information

Editors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Tronoh, Perak, Malaysia

    Pandian Vasant

  2. Computer Science, FEI, VSB-TU Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

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Marmolejo-Saucedo, J.A., Hurtado-Hernandez, M., Suarez-Valdes, R. (2020). Digital Twins in Supply Chain Management: A Brief Literature Review. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2019. Advances in Intelligent Systems and Computing, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-33585-4_63

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