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一种考虑新冠疫情防控措施的建设项目进度安排方法

A construction project scheduling methodology considering COVID-19 pandemic measures.

作者信息

Aslan Selman, Türkakın Osman Hürol

机构信息

Department of Transportation Services, Muş Alparslan University, Turkey.

Department of Civil Engineering, Istanbul University-Cerrahpaşa, Turkey.

出版信息

J Safety Res. 2022 Feb;80:54-66. doi: 10.1016/j.jsr.2021.11.007. Epub 2021 Dec 1.

Abstract

INTRODUCTION

At the beginning of the COVID-19 pandemic, various social measures were taken and various sectors were affected with strict precautions and safety measurements. The construction industry, where numerous employees work together, was affected by these COVID restrictions. The pandemic period typically further delayed the construction contracts.

METHODS

This study addresses the project duration, pandemic risk, and project cost of a construction project case by using both multi-objective genetic algorithm and resource constrained project scheduling techniques, using modeling of COVID-19 infection rate. Finally, the analytic hierarchy process (AHP), a multi-objective technique, is used to obtain an optimal solution using three criteria: project duration, total cost, and pandemic risk value.

RESULTS

A case study is used for analyzing the outcomes of the pandemic-based modeling, the original schedule of the case study ends in 46 days. Feasible schedules are obtained with durations occurring between 61 to 199 days, the pandemic risks range from 46% to 89%, and the total cost varies from 174,669.8 Turkish Lira (TL) to 186,126.7 TL. Consequently, the most optimal-final solution is obtained Alternative 5 (0.46% pandemic risk, 199 Day (10 workers) with 185,722 TL).

CONCLUSION

We conclude that the possible rate of pandemic-related delays can be obtained by using both these techniques and the infection modeling method. Using the COVID-19 infection rate modeling, duration and cost changes are calculated by considering infection risk in construction workers. Practical Applications: Using the COVID-19 infection rate modeling, project delays and cost overruns are determined by considering infection risk in construction workers. Optimum worker sizes and delayed construction activities are determined according to the selected solution by using the AHP technique. Expectedly, this study may help determine the construction process while preserving social distances between construction workers during pandemic situations like COVID-19.

摘要

引言

在新冠疫情初期,采取了各种社会措施,各行业都受到严格的预防措施和安全措施的影响。众多员工协同作业的建筑业受到了这些新冠疫情限制措施的影响。疫情期间通常进一步拖延了建筑合同。

方法

本研究通过使用多目标遗传算法和资源受限项目调度技术,并结合新冠病毒感染率建模,来探讨一个建筑工程项目案例的工期、疫情风险和项目成本。最后,采用多目标技术层次分析法(AHP),依据项目工期、总成本和疫情风险值这三个标准来获得最优解。

结果

通过一个案例研究来分析基于疫情的建模结果,该案例研究的原计划工期为46天。获得的可行工期在61至199天之间,疫情风险范围为46%至89%,总成本从174,669.8土耳其里拉(TL)到186,126.7 TL不等。因此,获得的最优最终解决方案是方案5(疫情风险0.46%,199天(10名工人),成本185,722 TL)。

结论

我们得出结论,通过使用这两种技术和感染建模方法,可以得出与疫情相关的可能延误率。利用新冠病毒感染率建模,通过考虑建筑工人的感染风险来计算工期和成本变化。实际应用:利用新冠病毒感染率建模,通过考虑建筑工人的感染风险来确定项目延误和成本超支情况。使用层次分析法(AHP)技术根据所选解决方案确定最佳工人规模和延误的施工活动。预期本研究可能有助于在新冠疫情等大流行情况下,在保持建筑工人之间社交距离的同时确定施工过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d06c/8648395/37b1a031bb99/gr1_lrg.jpg

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