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Artificial Intelligence in Supply Chain Management: A Systematic Literature Review and Guidelines for Future Research

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Industrial Engineering and Operations Management (IJCIEOM 2023)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 431))

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Abstract

Artificial intelligence (AI) has been considered an important enabler of supply chains (SC), as it helps to monitor SC competitiveness and management. Thus, AI has been gaining notability in management. However, no academic manuscript offers a detailed study of specific artificial intelligence techniques. Indeed, several existing reviews in this field provide considerable insight, but are often too general. To address this issue, we conducted a systematic literature review that aims to provide solid and relevant foundation, targeting the artificial intelligence techniques that are most prevalent in supply chain management. This research identified the main artificial intelligence technics in the field of supply chain management, namely, artificial neural networks, fuzzy logic and genetic algorithm, although other topics have emerged as well, such as sustainability, environment, big data, and automatization. We recognize that AI plays an important role in SCM and how beneficial it is to use it while being considered risky at the same time. Addition-ally, we disclose how beneficial AI techniques are, since when used together they allow using fewer resources to obtain optimal results in SCM. Future research should examine how the application of artificial intelligence techniques may differ across organizations of different sizes.

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Authors and Affiliations

  1. Higher Institute of Management and Administration of Santarém, ISLA-Santarém, Santarém, Portugal

    Bárbara Ferreira & João Reis

  2. Industrial Engineering and Management, Lusofona University, EIGeS, Campo Grande, Lisbon, Portugal

    João Reis

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  1. Bárbara Ferreira
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  2. João Reis
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Editors and Affiliations

  1. Department of Industrial Engineering and Management, Faculty of Engineering, Universidade Lusófona, Lisbon, Grande Lisboa, Portugal

    João Carlos Gonçalves dos Reis

  2. Department of Mechanical Engineering, Universidade Federal da Bahia (UFBA), Salvador, Bahia, Brazil

    Francisco Gaudêncio Mendonça Freires

  3. Universidade Presbiteriana Mackenzie, São Paulo, São Paulo, Brazil

    Milton Vieira Junior

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Ferreira, B., Reis, J. (2023). Artificial Intelligence in Supply Chain Management: A Systematic Literature Review and Guidelines for Future Research. In: Gonçalves dos Reis, J.C., Mendonça Freires, F.G., Vieira Junior, M. (eds) Industrial Engineering and Operations Management. IJCIEOM 2023. Springer Proceedings in Mathematics & Statistics, vol 431. Springer, Cham. https://doi.org/10.1007/978-3-031-47058-5_27

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