A construction project scheduling methodology considering COVID-19 pandemic measures

dc.authorscopusid57202714838
dc.authorscopusid55927010800
dc.contributor.authorAslan, S.
dc.contributor.authorTürkakın, O.H.
dc.date.accessioned2022-01-27T16:56:44Z
dc.date.available2022-01-27T16:56:44Z
dc.date.issued2021
dc.description.abstractIntroduction: 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. © 2021en_US
dc.identifier.doi10.1016/j.jsr.2021.11.007
dc.identifier.issn0022-4375
dc.identifier.scopus2-s2.0-85121531327
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jsr.2021.11.007
dc.identifier.urihttps://hdl.handle.net/20.500.12639/4123
dc.identifier.wosWOS:000766616200006
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Ltden_US
dc.relation.ispartofJournal of Safety Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAHPen_US
dc.subjectCOVID-19en_US
dc.subjectMulti-objective optimizationen_US
dc.subjectOHSen_US
dc.subjectPandemicen_US
dc.subjectConstruction industryen_US
dc.subjectGenetic algorithmsen_US
dc.subjectHierarchical systemsen_US
dc.subjectMultiobjective optimizationen_US
dc.subjectOccupational risksen_US
dc.subjectPersonnelen_US
dc.subjectSchedulingen_US
dc.subjectConstruction projectsen_US
dc.subjectConstruction workersen_US
dc.subjectCOVID-19en_US
dc.subjectInfection ratesen_US
dc.subjectMulti-objectives optimizationen_US
dc.subjectOHSen_US
dc.subjectPandemicen_US
dc.subjectProject costen_US
dc.subjectProject durationen_US
dc.subjectTurkishsen_US
dc.subjectAnalytic hierarchy processen_US
dc.titleA construction project scheduling methodology considering COVID-19 pandemic measuresen_US
dc.typeArticle

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