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Decision Support Systems Based on Artificial Intelligence for Supply Chain Management: A Literature Review

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Advances in Intelligent System and Smart Technologies (I2ST 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 826))

Abstract

The aim of this paper is to provide an overview of the integration of artificial intelligence (IA) in decision support systems (DSS) to solve problems related to the Supply Chain Management (SCM). Non-intelligent DSS approaches based on traditional methods are unable to handle unstructured data, and they face great difficulties in describing non-linear relationships. Looking for intelligent solutions that are able to overcome these difficulties is becoming increasingly important and has led to a new trend of adding intelligence capability to DSS. Many efforts have been devoted to propose intelligent decision support systems for SCM. To shed light on the degree of AI integration in DSS in this context, we present a literature review highlighting the following results: (a) AI integration in DSS for SCM was still in the development stage, (b) multi-agent systems and machine learning are the most used AI techniques and methods in DSS, and (c) risk management and performance improvement are the most covered activities in intelligent DSS.

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Author information

Authors and Affiliations

  1. LISI Laboratory, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco

    Khalid Ait Ben Hamou & Zahi Jarir

  2. LSIS—CNRS UMR 6168, Université Aix-Marseille, Marseille, France

    Mohamed Quafafou

  3. Emines—University Mohammed VI Polytechnic, Benguerir, Morocco

    Selwa Elfirdoussi

Authors
  1. Khalid Ait Ben Hamou
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  2. Zahi Jarir
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  3. Mohamed Quafafou
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  4. Selwa Elfirdoussi
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Corresponding author

Correspondence to Khalid Ait Ben Hamou .

Editor information

Editors and Affiliations

  1. ENSA Kouribga, Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Noredine Gherabi

  2. College of Information Technology (CIT), United Arab Emirates University (UAEU), Al Ain, United Arab Emirates

    Ali Ismail Awad

  3. Graduate School, Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

  4. Department of Mathematical and Computing Science, Faculty of Sciences and Technologies, Settat, Morocco

    Mohamed Bahaj

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Hamou, K.A.B., Jarir, Z., Quafafou, M., Elfirdoussi, S. (2024). Decision Support Systems Based on Artificial Intelligence for Supply Chain Management: A Literature Review. In: Gherabi, N., Awad, A.I., Nayyar, A., Bahaj, M. (eds) Advances in Intelligent System and Smart Technologies. I2ST 2023. Lecture Notes in Networks and Systems, vol 826. Springer, Cham. https://doi.org/10.1007/978-3-031-47672-3_19

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