新冠肺炎疫情期间各行业发展的主要趋势与挑战

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Foundations of Computing and Decision Sciences Pub Date : 2022-06-01 DOI:10.2478/fcds-2022-0012
A. Tikhonov, A. Sazonov, V. M. Kraev, I. Kuzmina-Merlino
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引用次数: 1

摘要

摘要本文研究的目的是调查新冠肺炎大流行期间不同行业发展的主要趋势,确定全球危机背景下不同行业面临的主要问题,并形成全球行业真正复苏所需的基本概念。作者确定了航空业在发展中国家危机中面临的主要问题以及解决这些问题的可能方法。作为一项工作假设,建议形成必要的基本概念,以制定和实施恢复客运和货运航空的运营措施。考虑到新冠肺炎期间航空业面临的主要威胁,文章提出了恢复航空业的组织和经济机制。此外,考虑到具有特定影响的相关因素,还考虑了几种恢复情景。接下来,针对新冠肺炎大流行中最重要的药品,提出了一种新的数学模型。此外,该模型考虑了不确定性,并采用了鲁棒优化方法。该研究基于对几个欧洲国家政府机构提供的文献数据的全面分析。提供了2020年第1季度至第4季度(四分位数)的全球和俄罗斯客运量分析以及2021年第1至第2季度的发展预测。确定了新冠肺炎危机背景下航空业面临的情景问题。制定和实施恢复航空业的有效措施需要一些关键概念。
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The Main Trends and Challenges in The Development of the Different Industries During The COVID-19 Pandemic
Abstract The purpose of the research in this article is to investigate the main trends in the development of the different industries during the COVID-19 pandemic, to identify the main problems facing the different industries in the context of the global crisis, as well as to form the basic concepts necessary for a real recovery of the global industry. The authors identify the main problems facing the aviation industry in the developing world crisis and possible ways to solve them. As a working hypothesis, it is proposed to form the basic concepts necessary for preparing and implementing operational measures to restore passenger and cargo aviation. Considering the main threats facing the aviation industry during COVID-19, the article proposes the organizational and economic mechanisms to restore the industry. Furthermore, several recovery scenarios are considered, considering the relevant factors that have a particular impact. Next, a novel mathematical model for pharmaceutical products, which are the most important in COVID-19 pandemics, is proposed. Moreover, the model considers the uncertainty, and a robust optimization approach is applied. The study is based on a comprehensive analysis of documentary data provided by government agencies in several European countries. An analysis of global and Russian passenger traffic for Q1-Q4 (quartile) of 2020 and a development forecast for Q1-Q2 of 2021 is provided. The scenario problems facing the aviation industry in the context of the COVID-19 crisis are identified. There are key concepts necessary to prepare and implement effective measures to restore the aviation industry.
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
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