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Internet of Things based Decision Support System for Green Logistics

Author

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  • Sobhi Mejjaouli

    (Industrial Engineering, Alfaisal University, Riyadh 11533, Saudi Arabia)

Abstract

This work proposes an IoT-based Real-Time Decision Support System for Perishable Products. The proposed system collects data during the transportation process and will interfere in the case of failure. Three different simulation models corresponding to different configurations and mitigation plans are built. The simulation models consider decisions such as stopping transportation and rerouting shipments to minimize losses in case of failure. The three different supply chain simulation models are implemented through a case study that considers transporting a perishable fruit in the intercontinental United States. A financial and environmental analysis is conducted to show the benefits of the proposed system.

Suggested Citation

  • Sobhi Mejjaouli, 2022. "Internet of Things based Decision Support System for Green Logistics," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14756-:d:967634
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    References listed on IDEAS

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    1. Mona Haji & Laoucine Kerbache & Mahaboob Muhammad & Tareq Al-Ansari, 2020. "Roles of Technology in Improving Perishable Food Supply Chains," Logistics, MDPI, vol. 4(4), pages 1-24, December.
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    3. Fatima Khitous & Fernanda Strozzi & Andrea Urbinati & Fernando Alberti, 2020. "A Systematic Literature Network Analysis of Existing Themes and Emerging Research Trends in Circular Economy," Sustainability, MDPI, vol. 12(4), pages 1-24, February.
    4. Buzby, Jean C. & Farah-Wells, Hodan & Hyman, Jeffrey, 2014. "The Estimated Amount, Value, and Calories of Postharvest Food Losses at the Retail and Consumer Levels in the United States," Economic Information Bulletin 164262, United States Department of Agriculture, Economic Research Service.
    5. Volha Yakavenka & Ioannis Mallidis & Dimitrios Vlachos & Eleftherios Iakovou & Zafeiriou Eleni, 2020. "Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products," Annals of Operations Research, Springer, vol. 294(1), pages 593-621, November.
    6. Davide Aloini & Riccardo Dulmin & Valeria Mininno & Alessandro Stefanini & Pierluigi Zerbino, 2020. "Driving the Transition to a Circular Economic Model: A Systematic Review on Drivers and Critical Success Factors in Circular Economy," Sustainability, MDPI, vol. 12(24), pages 1-14, December.
    7. Prem Vrat & Rachita Gupta & Aman Bhatnagar & Devendra Kumar Pathak & Vijayta Fulzele, 2018. "Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 601-627, November.
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    Cited by:

    1. Usha Ramanathan & Katarzyna Pelc & Tamíris Pacheco da Costa & Ramakrishnan Ramanathan & Natalie Shenker, 2022. "A Case Study of Human Milk Banking with Focus on the Role of IoT Sensor Technology," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    2. Ângela F. Brochado & Eugénio M. Rocha & Diogo Costa, 2024. "A Modular IoT-Based Architecture for Logistics Service Performance Assessment and Real-Time Scheduling towards a Synchromodal Transport System," Sustainability, MDPI, vol. 16(2), pages 1-22, January.

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