| Title |
Adapting food supply chains in Smart Cities to address the impacts of COVID19 a case study from Guadalajara metropolitan area |
| ID_Doc |
68722 |
| Authors |
Baena, B; Cobian, C; Larios, VM; Orizaga, JA; Maciel, R; Cisneros, MP; Beltran-Ramirez, JR |
| Title |
Adapting food supply chains in Smart Cities to address the impacts of COVID19 a case study from Guadalajara metropolitan area |
| Year |
2020 |
| Published |
|
| DOI |
10.1109/isc251055.2020.9239076 |
| Abstract |
This article focuses on the food supply chain and aligns with the United Nations Sustainable Development Goal of Zero Hunger. They are looking to avoid food waste where Smart Cities must work. Food waste requires innovation with technology to change consumer's behaviors, efficient supply chain management, and innovative food production systems not to harm the environment. Among the economic impact, water and carbon footprint affects vital performance indicators into a Smart City. Hence, this work considers water and carbon footprint, as well as economic impact. We contribute to the Smart Cities, providing a multi-Agent simulation able to be scaled with an ontology with the purpose to plot different scenarios to stakeholders in a Smart City and help to avoid food waste situations. To simplify the simulation, as preliminary work, we used a typical food in Guadalajara Metropolitan Area, which is a Taco. The model covers a community in the Zapopan Municipality, where a developed urban study is the first proof of the system's concept. Furthermore, based on the simulation scenarios fed with real, local data, we discussed how we can integrate this multi-agent platform to face COVID-19. Finally, we want to help family businesses on the food supply chain using information technologies and applying digital processes to better adapt to new operation rules since COVID-19 to fight food waste since COVID-19. |
| Author Keywords |
Smart Cities; Multi-agent systems; Simulation; Ontologies; NetLogo; FoodWaste; Water Footprint; Carbon footprint |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000853879300066 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Green & Sustainable Science & Technology; Engineering, Multidisciplinary |
| Research Area |
Computer Science; Science & Technology - Other Topics; Engineering |
| PDF |
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