Internet of Things based Decision Support System for Green Logistics

Sobhi Mejjaouli ()
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Sobhi Mejjaouli: Industrial Engineering, Alfaisal University, Riyadh 11533, Saudi Arabia

Sustainability, 2022, vol. 14, issue 22, 1-23

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.

Keywords: cold supply chain; IoT; RFID-WSN-GPS; Monte Carlo simulation; real-time monitoring and control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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