Full text not available from this repository.

Abstract

Radio frequency identification (RFID) technology is paramount for the automation and optimization of supply-chain activities. RFID tags can drastically improve the efficiency of inventory management, especially in the pharmacy supply chain. Thus, the drugs tracking can be enhanced in the pharmaceutical manufacturing plants all across the world paving the way for the wide deployment of the Internet of Things (IoT). The connected things in manufacturing processes have gained prominence owing to the growing number of unqualified pharmacies and counterfeit drugs. These sensors continuously generate a large amount of contextual information like locations and time points so as to control and manage drugs quality and distribution. Based on these contextual information, business logic can be implemented efficiently. Collection, modeling, reasoning, and distribution of context in relation to sensor data plays a critical role. In this paper, we propose a context-aware middleware for RFID based pharmacy supply chain, which aims to offer a deeper intelligence for the objects monitoring.A variant of Fosstrack middleware was proposed to offer a deeper intelligence in the RFID based supply chain.

Item Type:	Conference Publication
Authors/Creators:	Chamekh, M and Hamdi, M and Asmi, SE and Kim, T-H
Keywords:	pharmaceutical supply chain, context aware, RFID, middleware
Journal or Publication Title:	Proceedings from the 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
Publisher:	Institute of Electrical and Electronics Engineers
DOI / ID Number:	https://doi.org/10.1109/IWCMC.2017.7986576
Copyright Information:	Copyright 2017 IEEE
Item Statistics:	View statistics for this item

Actions (login required)

Item Control Page