Monitoring Vaccine Cold Chain Model with Coloured Petri Net
| Autor: | Zied Benhouma, Manal Tamir, Raddouane Chiheb, Hajar Mansouri, Fatima Ouzayd |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
General Computer Science Risk analysis (engineering) Computer science Supply chain 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Coloured Petri net 020206 networking & telecommunications 02 engineering and technology Performance indicator Cold chain 01 natural sciences |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 9 |
| ISSN: | 2156-5570 2158-107X |
| DOI: | 10.14569/ijacsa.2018.090556 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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