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    Optimizing Construction Work–Rest Schedules and Worker Reassignment Utilizing Wristband Physiological Data

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 011::page 04024149-1
    Author:
    Zinab Abuwarda
    ,
    Kareem Mostafa
    ,
    Plinio Morita
    ,
    Tarek Hegazy
    DOI: 10.1061/JCEMD4.COENG-14884
    Publisher: American Society of Civil Engineers
    Abstract: Construction workers are exposed to long physically demanding work hours and require sufficient work rests to avoid strenuous fatigue, productivity loss, and adverse health effects. In the literature, limited efforts incorporated standardized work–rest periods in the construction schedule without accounting for the variation among the workers’ live physiological conditions. Rather than focusing on the worker’s fatigue data collection, this paper utilizes sample cardiovascular stress and energy exertion data from health-related studies, collected using wearable Fitbits. The paper then proposes a framework for the analysis and utilization of this physiological data to design optimum work–rest schedules and worker reassignment plans as two strategies to mitigate workers’ fatigue. The framework uses a constraint programming schedule optimization model that minimizes workers’ physiological strain through optimized work rests and worker reassignments. Using a hypothetical schedule with the workers’ fatigue data, the model proposed two 20-min breaks for one worker and two 5-min breaks for other workers and reassigned eight workers to different tasks. The framework helps project managers to efficiently improve the health and safety of workers and improve productivity, leading to a more inclusive work environment.
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      Optimizing Construction Work–Rest Schedules and Worker Reassignment Utilizing Wristband Physiological Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4298831
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    contributor authorZinab Abuwarda
    contributor authorKareem Mostafa
    contributor authorPlinio Morita
    contributor authorTarek Hegazy
    date accessioned2024-12-24T10:23:32Z
    date available2024-12-24T10:23:32Z
    date copyright11/1/2024 12:00:00 AM
    date issued2024
    identifier otherJCEMD4.COENG-14884.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298831
    description abstractConstruction workers are exposed to long physically demanding work hours and require sufficient work rests to avoid strenuous fatigue, productivity loss, and adverse health effects. In the literature, limited efforts incorporated standardized work–rest periods in the construction schedule without accounting for the variation among the workers’ live physiological conditions. Rather than focusing on the worker’s fatigue data collection, this paper utilizes sample cardiovascular stress and energy exertion data from health-related studies, collected using wearable Fitbits. The paper then proposes a framework for the analysis and utilization of this physiological data to design optimum work–rest schedules and worker reassignment plans as two strategies to mitigate workers’ fatigue. The framework uses a constraint programming schedule optimization model that minimizes workers’ physiological strain through optimized work rests and worker reassignments. Using a hypothetical schedule with the workers’ fatigue data, the model proposed two 20-min breaks for one worker and two 5-min breaks for other workers and reassigned eight workers to different tasks. The framework helps project managers to efficiently improve the health and safety of workers and improve productivity, leading to a more inclusive work environment.
    publisherAmerican Society of Civil Engineers
    titleOptimizing Construction Work–Rest Schedules and Worker Reassignment Utilizing Wristband Physiological Data
    typeJournal Article
    journal volume150
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-14884
    journal fristpage04024149-1
    journal lastpage04024149-15
    page15
    treeJournal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 011
    contenttypeFulltext
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