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The Use of Agent-Based Models Boosted by Digital Twins in the Supply Chain: A 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

Supply chain management has become an essential and integral part of business, it allows to reach out company’s success and customer satisfaction because it has the power to boost customer service, reduce operating costs and improve the financial standing of a company by keeping and improving competitive advantages. In the current market with a fiercer competition, shorter product life cycles, changes in technologies, and increasingly interconnected economies; supply chain management is boosted by means of mind-boggling technological innovations like Digital Twins and Agent-Based Model.

Since supply chains are now building with increasingly complex and collaborative interdependencies, Agent-Based Models are an extremely useful tool when representing such relationships, to obtain a formal and more simplified description of a system (that can be as complex as the relationships between the agents of all the supply chain, from the supplier, the manufacturer, to the distributor of a product or service) and as an optimization technique for mitigation of risk.

While Digital Twins are new solutions elements for enable real-time digital monitoring and control or an automatic decision maker with a higher efficiency and accuracy.

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Authors and Affiliations

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

    Areli Orozco-Romero, Claudia Yohana Arias-Portela & JosE Antonio Marmolejo- Saucedo

Authors
  1. Areli Orozco-Romero
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  2. Claudia Yohana Arias-Portela
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  3. JosE Antonio Marmolejo- Saucedo
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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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Orozco-Romero, A., Arias-Portela, C.Y., Saucedo, J.A.M. (2020). The Use of Agent-Based Models Boosted by Digital Twins in the Supply Chain: A 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_62

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