Internet of Things based Decision Support System for Green Logistics
Sobhi Mejjaouli
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.
Topics & Concepts
Supply chainWork (physics)Decision support systemInternet of ThingsProcess (computing)Computer scienceOperations researchThe InternetDecision processRisk analysis (engineering)Transport engineeringBusinessProcess managementEngineeringComputer securityMarketingData miningOperating systemWorld Wide WebMechanical engineeringAdvanced Manufacturing and Logistics OptimizationFood Supply Chain TraceabilityUrban and Freight Transport Logistics