Abstract: To protect and prevent vaccines from excessively high or low temperatures throughout the supply chain, from manufacturing to administration, it is necessary to monitor and evaluate vaccine cold chain performance in real time. Therefore, today, the need for smart tracking is a requirement that is accentuated with critical systems, such as the vaccine supply chain. In this article, we propose a model for instant cold chain monitoring using a colored Petri net (CPN). This model focuses on the central storage of vaccines and takes into account certain WHO (World Health Organization) recommendations. The simulation and the key performance indicators obtained can be useful for decision-makers in order to measure the effectiveness and efficiency of vaccine storage.

Fatima Ouzayd, Hajar Mansouri, Manal Tamir, Raddouane Chiheb and Zied Benhouma, “Monitoring Vaccine Cold Chain Model with Coloured Petri Net” International Journal of Advanced Computer Science and Applications(IJACSA), 9(5), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090556

@article{Ouzayd2018,
title = {Monitoring Vaccine Cold Chain Model with Coloured Petri Net},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090556},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090556},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {5},
author = {Fatima Ouzayd and Hajar Mansouri and Manal Tamir and Raddouane Chiheb and Zied Benhouma}
}