用蒙特卡罗模拟评估在建项目对COVID-19的影响

Y. Chen, Yee Yang, Yi-Hua Chen
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引用次数: 1

摘要

2019年新型冠状病毒肺炎(COVID-19)的爆发和2022年乌克兰战争对全球旅行和物流产生了深刻影响,扰乱了物资供应链,严重影响了建设项目的成本和进度,进一步影响了企业的运营效率。尽管现有的一些研究为COVID-19对建筑行业的影响提供了有价值的见解,但仍有一些研究空白需要解决。先前的研究主要集中在大流行的直接影响因素,如供应链中断和劳动力短缺,以及有效减少或消除这些风险的战略。然而,有必要对这些干扰的长期影响进行深入研究。到目前为止,还没有相关研究量化这一流行病的更广泛影响。因此,本研究旨在通过文献回顾、问卷调查和专家访谈,分析疫情和战争对136名建筑行业专业人士、他们的项目和公司的影响。该研究编制了2019-2022年建设项目的重大风险因素清单,包括它们发生的概率、随时间的影响和总体成本。该研究还分析和讨论了截至2022年这些高风险因素的影响。为了量化在此期间实际建设项目所遭受的影响、成本和暴露于这些风险的水平,引入了蒙特卡罗模拟方法。这种方法为承包商提供了风险的早期预测和适当的响应以减轻风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the COVID-19 Impact of Projects under Construction with Monte Carlo Simulation
The outbreak of the novel coronavirus pneumonia (COVID-19) in 2019 and the 2022 war in Ukraine have had profound global impacts on travel and logistics, disrupted the material supply chain, significantly influenced the cost and progress of construction projects, and further impacted the operational effectiveness of firms. Despite some existing studies providing valuable insights into the impact of COVID-19 on the construction industry, there remain research gaps that need to be addressed. Prior studies have mainly focused on the immediate impact factors of the pandemic, such as supply chain disruptions and workforce shortages, and strategies for effectively reducing or eliminating these risks. However, there is a need for research that delves into the long-term implications of these disruptions. So far, no relevant research has quantified the broader impact of the epidemic. Thus, this study aims to analyze the effects of the pandemic and the war on 136 construction industry professionals, their projects, and firms through literature review, questionnaire surveys, and expert interviews. The study compiles a list of significant risk factors for construction projects between 2019–2022, including their probability of occurrence, impact over time, and overall cost. The study also analyzes and discusses the impact of these high-risk factors as of 2022. To quantify the impact, cost, and level of exposure to these risks suffered by actual construction projects over this period, the Monte Carlo simulation method is introduced. This approach provides contractors with early prediction of risks and appropriate responses to mitigate risks.
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