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An Integrated Big Data Analytics Architecture for Resilience: A Case Study of Last-Mile Agri-Food Delivery

Author

Listed:
  • Morteza Alaeddini

    (AUT - Amirkabir University of Technology, UGA - Université Grenoble Alpes, CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes, ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Alireza Asgari

    (UGA INP IAE - Grenoble Institut d'Administration des Entreprises - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes)

Abstract

In the wake of global crises and the rising need for robust supply chains, this study delves into the role of big data analytics in agrifood logistics. Emphasizing the need for uninterrupted access to essential food supplies, we use a case study approach to outline the requirements for a comprehensive big data solution. This solution, which includes descriptive, predictive, and prescriptive analytics, is based on industry standards, academic research, and the specific needs of a large B2B2C last-mile food delivery company. The proposed system architecture enhances resilience by integrating these three types of analytics, enabling improved anticipation, response, and recovery from supply chain disruptions.

Suggested Citation

  • Morteza Alaeddini & Alireza Asgari, 2025. "An Integrated Big Data Analytics Architecture for Resilience: A Case Study of Last-Mile Agri-Food Delivery," Post-Print hal-05045283, HAL.
    • Handle: RePEc:hal:journl:hal-05045283
    DOI: 10.1016/j.procs.2025.01.224
    Note: View the original document on HAL open archive server: https://hal.science/hal-05045283v1
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    References listed on IDEAS

    as
    1. Mukesh Kumar & Rakesh D. Raut & Mahak Sharma & Vikas Kumar Choubey & Sanjoy Kumar Paul, 2022. "Enablers for resilience and pandemic preparedness in food supply chain," Operations Management Research, Springer, vol. 15(3), pages 1198-1223, December.
    2. David Kopcso & Dessislava Pachamanova, 2018. "Case Article—Business Value in Integrating Predictive and Prescriptive Analytics Models," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 36-42, September.
    3. Pahwa, Anmol & Jaller, Miguel, 2023. "Assessing last-mile distribution resilience under demand disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    4. Akter, Shahriar & Bandara, Ruwan & Hani, Umme & Fosso Wamba, Samuel & Foropon, Cyril & Papadopoulos, Thanos, 2019. "Analytics-based decision-making for service systems: A qualitative study and agenda for future research," International Journal of Information Management, Elsevier, vol. 48(C), pages 85-95.
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