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Determination of the Probability of Factors Occurrence Impacting Warehouse Planning by Bayesian Networks

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Smart Applications and Data Analysis (SADASC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1677))

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Abstract

Good warehouse governance is considered one of the main components of supply chain management (SCM) and its profitability. To do this successfully, it is crucial to frame and study the major issues that affect the efficiency of a warehouse. In this context, this article aims to propose an approach which allows to identify the factors which can jeopardize the planning of a warehouse's activities, thus affecting its proper functioning. This approach is based on a causality graph highlighting the relationships between the factors that can disrupt the operations carried out within a warehouse. The exploitation of such a graph is done by applying Bayesian networks in order to calculate the probability of occurrence of problems or factors impacting the planning and the smooth running of the activities of a warehouse.

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Acknowledgments

This research is supported by the Ministry of Higher Education, Scientific Research and Innovation, the Digital Development Agency (DDA) and the National Center for Scientific and Technical Research (CNRST) of Morocco (Smart DLSP Project - AL KHAWARIZMI IA-PROGRAM).

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Authors and Affiliations

  1. Intelligente Automation Laboratory, Faculty of Sciences and Technique of Tangier, Abdelmalek ESSAADI University Tetouan, Tétouan, Morocco

    Abdelilah Kerouich, Azmani Monir, Mouna Atik El Fetouh & Abdellah Azmani

Authors
  1. Abdelilah Kerouich
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  2. Azmani Monir
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  3. Mouna Atik El Fetouh
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  4. Abdellah Azmani
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Corresponding author

Correspondence to Abdellah Azmani .

Editor information

Editors and Affiliations

  1. University of Hassan II Casablanca, Casablanca, Morocco

    Mohamed Hamlich

  2. ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

  3. Arts et Metiers Institute of Technology, Paris, France

    Ali Siadat

  4. University of Cordoba, Cordoba, Spain

    Sebastian Ventura

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Kerouich, A., Monir, A., Atik El Fetouh, M., Azmani, A. (2022). Determination of the Probability of Factors Occurrence Impacting Warehouse Planning by Bayesian Networks. In: Hamlich, M., Bellatreche, L., Siadat, A., Ventura, S. (eds) Smart Applications and Data Analysis. SADASC 2022. Communications in Computer and Information Science, vol 1677. Springer, Cham. https://doi.org/10.1007/978-3-031-20490-6_17

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  • DOI: https://doi.org/10.1007/978-3-031-20490-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20489-0

  • Online ISBN: 978-3-031-20490-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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