Assessment of Food Supply Chain Resilience During the COVID-19 Pandemic Using Discrete Event Modeling
DOI:
https://doi.org/10.11606/issn.2526-8260.mecatrone.2025.232333Keywords:
Discrete Event Systems, Petri Nets, Automation, Supply Chains, COVID-19 PandemicAbstract
The COVID-19 pandemic had a significant impact on supply chains (SC) worldwide, altering food purchasing patterns, the paradigm of digital services, and logistics and distribution due to workforce shortages, transportation disruptions, and new safety and hygiene measures. The adverse effects of this scenario were studied and simulated by Ivanov and Burgos in "Food Retail Supply Chain Resilience and the COVID-19 Pandemic: A Digital Twin-Based Impact Analysis and Improvement Directions", serving as the basis for this study. In this work, we will use Discrete Event Simulation with Petri Net modeling to establish a control system for supply chains. Through this approach, we aim to demonstrate how different scenarios caused by the pandemic influence control signals and the functioning of the model, enabling a deeper assessment of the resilience of food supply chains.
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BURGOS, D.; IVANOV, D. Food retail supply chain resilience and the covid-19 pandemic: A digital twin-based impact analysis and improvement directions. Berlin School of Economics and Law, Berlin, Germany, 2021. Department of Business and Economics Supply Chain and Operations Management Group.
MIYAGI, P. Controle Programável: Fundamentos do Controle de Sistemas a Eventos Discretos. 1. ed. São Paulo: Edgard Blücher, 1996. 260 p.
Universidade de São Paulo. A norma IEC 61131. 2011. Acesso em: 01 dez. 2024. Disponível em <https://edisciplinas.usp.br/pluginfile.php/1881421/mod_resource/content/0/Aula2_1131.pdf>.
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Copyright (c) 2025 Gabriel Cordeiro Caram, Caic Hein Fernandes Maciel, Gustavo Loiola dos Santos
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
