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Adapting food supply chains in Smart Cities to address the impacts of COVID19 a case study from Guadalajara metropolitan area

机译：适应智慧城市中的食品供应链以应对COVID19的影响-来自瓜达拉哈拉大都会地区的案例研究

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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.
机译：本文重点关注食品供应链，并与联合国零饥饿的可持续发展目标保持一致。他们正在寻求避免智慧城市必须运转的食物浪费。餐厨垃圾需要创新以改变消费者行为的技术，有效的供应链管理以及创新的食品生产系统，以不损害环境。在经济影响中，水和碳足迹会影响关键绩效指标，成为一个智慧城市。因此，这项工作考虑了水和碳足迹以及经济影响。我们为智能城市做出了贡献，提供了可以通过本体进行扩展的多智能体仿真，目的是为智能城市中的利益相关者绘制不同的场景，并帮助避免食物浪费的情况。为了简化模拟，作为初步工作，我们在瓜达拉哈拉大都会区（Taco）使用了典型的食物。该模型涵盖了Zapopan市的一个社区，在那里进行的一项深入的城市研究是该系统概念的首次证明。此外，基于提供真实，本地数据的模拟场景，我们讨论了如何集成此多代理平台以面对COVID-19。最后，我们希望使用信息技术和数字流程帮助食品供应链上的家族企业更好地适应自COVID-19以来的新运营规则，以应对自COVID-19以来的食品浪费。

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