Developing a Dump Truck Drivers Occupational Fatigue Assessment Model as Hauling Workplace Accidents Prevention: Study Case at Indonesia's Coal Mining Company

A. Adyatama, Danu Hadi Syaifullah, B. N. Moch
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引用次数: 1

Abstract

One of the biggest financial loss due to workplace accidents at coal mining companies is caused by dump truck drivers' sleepiness during hauling activities, resulting in loss of steering control. Drowsiness is an indicator of occupational fatigue as a body reaction to prevent another serious illness. An efficient fatigue management policy is needed to reduce the number of coal mining workplace accidents. Health and safety department should assess the driver's physical condition is fit to work before hauling activity is started as a preventive program. This study was analyzing the physical factors that significantly influence the dump truck drivers occupational fatigue. A mathematical model to assess the probability of whether dump truck drivers are suspected of having occupational fatigue or not is the result of this study. This study used logistic regression statistical method to give an accurate occupational fatigue calculation which can be implemented in Indonesia coal mining companies.
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建立自卸车司机职业疲劳评估模型以预防运输作业事故——以印尼煤矿公司为例
煤矿公司工作场所事故造成的最大经济损失之一是自卸卡车司机在运输活动中打瞌睡,导致转向失控。困倦是职业疲劳的一个指标,是身体为防止另一种严重疾病的反应。为了减少煤矿生产事故的发生,需要制定有效的疲劳管理政策。作为一项预防措施,卫生和安全部门应在拖运活动开始前评估驾驶员的身体状况是否适合工作。本研究旨在分析影响自卸车司机职业疲劳的生理因素。本研究的结果是建立一个数学模型来评估自卸车司机是否怀疑有职业疲劳的概率。本研究采用logistic回归统计方法,对印尼煤矿企业的职业疲劳进行了精确的计算。
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