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Analytic Hierarchy Process (AHP) for Supply Chain 4.0 Risks Management

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Artificial Intelligence and Industrial Applications (A2IA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1193))

Abstract

Currently, supply chain management incorporates technologies from Industry 4.0, Internet of Things (IoT) and Smart Manufacturing to improve performance and customer satisfaction. Supply chain digitalization helps organizations meet new customer needs, supply issues and existing efficiency improvement standards. In other words, digitalization leads to a faster, flexible and efficient supply chain. However, this digitalization has created new supply chain risks such as information and cybersecurity risks. The purpose of this paper is to discuss key supply chains 4.0 risks and examine the relationship between them. This study also presents a literature review related to the subject to well understand the Supply chain 4.0 risk management. The authors use the approach of the analytical hierarchy model (AHP) to analyze the supply chain 4.0 risks. The suggested study is useful for both academics and practitioners, as it illustrated the relatedness of supply chains 4.0 risks. This would help organizations confront new risks facing interconnected supply chains. The findings would help secure supply chains and strengthen organizations’ risk management.

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Author information

Authors and Affiliations

  1. LM2I Laboratory, ENSAM, Moulay Ismail University, 50500, Meknes, Morocco

    Kamar Zekhnini, Anass Cherrafi, Imane Bouhaddou & Youssef Benghabrit

Authors
  1. Kamar Zekhnini
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  2. Anass Cherrafi
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  3. Imane Bouhaddou
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  4. Youssef Benghabrit
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Corresponding author

Correspondence to Kamar Zekhnini .

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Editors and Affiliations

  1. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Mathematics and Computer Science, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Tawfik Masrour

  2. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Modeling and Optimization of Industrial Systems Team (MOSI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Anass Cherrafi

  3. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Ibtissam El Hassani

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Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y. (2021). Analytic Hierarchy Process (AHP) for Supply Chain 4.0 Risks Management. In: Masrour, T., Cherrafi, A., El Hassani, I. (eds) Artificial Intelligence and Industrial Applications. A2IA 2020. Advances in Intelligent Systems and Computing, vol 1193. Springer, Cham. https://doi.org/10.1007/978-3-030-51186-9_7

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