A novel deployment of smart Cold Chain system using 2G-RFID-Sys temperature monitoring in medicine Cold Chain based on Internet of Things
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2017-11-27
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MONTELEONE, S.
Mauro Sampaio
Rodrigo Maia
Mauro Sampaio
Rodrigo Maia
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Proceedings - 2017 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2017
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MONTELEONE, S.; SAMPAIO, M.; MAIA, R. F. A novel deployment of smart Cold Chain system using 2G-RFID-Sys temperature monitoring in medicine Cold Chain based on Internet of Things. Proceedings - 2017 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2017, v. 2017-January, p. 204-210, Nov. 2017.
MONTELEONE, S.; SAMPAIO, M.; MAIA, R. F. A novel deployment of smart Cold Chain system using 2G-RFID-Sys temperature monitoring in medicine Cold Chain based on Internet of Things. Proceedings - 2017 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2017, v. 2017-January, p. 204-210, Nov. 2017.
MONTELEONE, S.; SAMPAIO, M.; MAIA, R. F. A novel deployment of smart Cold Chain system using 2G-RFID-Sys temperature monitoring in medicine Cold Chain based on Internet of Things. Proceedings - 2017 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2017, v. 2017-January, p. 204-210, Nov. 2017.
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© 2017 IEEE.Temperature monitoring of medicines is essential for product quality and patient safety. Product quality is influenced by temperature perturbations and time delays in interventions. Thanks to Internet of Things (IoT) considerable progress has been made in recent years in the improvement of temperature monitoring devices. However, temperature monitoring in medicine Cold Chain remains challenging. In this paper it is presented a conceptual model aiming at overcoming challenges of medicine Cold Chain related to temperature monitoring. The major particularity of our model is that it considers the complete Cold Chain according to two perspectives of pharmaceutical and healthcare industries in a single study. Besides this model can be applied also in vaccine Cold Chain and in temperature-controlled logistics of laboratory medicine. Our conceptual model supports the development of a smart Cold Chain system for temperature monitoring based on IoT. Our smart Cold Chain system can be used to improve Cold Chain responsiveness by studying weaknesses and deciding what Cold Chain characteristics to improve.