Procedia Computer Science · 2015 · 168 citations · 3 references
ComputingCloud ComputingSupply Chain ManagementInternet Of ThingsLogistics ManagementSupply Chain Information SystemsIot Data AcquisitionIot Data ManagementIot InteroperabilityIot SensorsLogistics Information SystemsSensor NetworksCloud-based Supply Chain PlatformsCollaborative LogisticsCollaborative Supply Chain Information SharingInternet Of Things ApplicationsInteroperability In Iot SystemsLegacy SystemsSensor-based TrackingSupply Chain Collaboration Platforms
Tools usually used until yet to manage flows of goods are mostly based on information systems such as ERP, WMS, APS, TMS, or other legacy systems. The advent of cloud computing (CC) and Internet of Things (IoT) adds the relevant information and events capture issue, transfer, storage, processing and sharing. Also, for a better collaboration and interoperability enhancement in supply chain, it is interesting to notify automatically each event related to logistic flows to involved actors. In order to remedy to these issues, we propose in this paper the architecture of a collaborative platform based on advanced technologies related to IoT, CC, GPS/GPRS and RFID for positioning, identification, communication, tracking and data sharing.
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