Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India.
Department of Mining Engineering, Aksum University, Aksum, 7080, Tigray, Ethiopia.
Sci Rep. 2024 Jul 15;14(1):16319. doi: 10.1038/s41598-024-67375-1.
One of the most vital parameters to achieve sustainability in any field is encompassing the Occupational Health and Safety (OHS) of the workers. In mining industry where heavy earth moving machineries are largely employed, ergonomic hazards turn out to be significant OHS hazards causing Musculoskeletal Disorders (MSDs) in the operators. Nevertheless, the Indian mining industry lacks a comprehensive technique of OHS risk assessment, especially for ergonomic hazards that cause MSDs. This research appraises ergonomic hazards and develops Fuzzy Musculoskeletal-disorders Index (FMI) model to evaluate ergonomic-related MSDs. Work process and work tool ergonomic risk factors were identified through literature review and directives recommended by experts. Work posture was evaluated using RULA. The data-collecting approach was implemented using participatory ergonomic and design science principles. The FMI results show average MSDs score of 3.69, indicating high to extremely high risk. Surface plots show that combined work tool and work process was the most sensitive factors to MSDs risk compared to other two combinations. A two-sample t-test validated the FMI. The findings should help safety experts and managers develop effective OHS management plans and programmes for the sustainability of Indian mining industry.
在任何领域实现可持续性的最重要参数之一是包含工人的职业健康和安全(OHS)。在大量使用重型土方机械的采矿业中,人体工程学危害成为导致操作人员肌肉骨骼疾病(MSD)的重大 OHS 危害。然而,印度采矿业缺乏全面的 OHS 风险评估技术,特别是针对导致 MSD 的人体工程学危害。本研究评估了人体工程学危害,并开发了模糊肌肉骨骼疾病指数(FMI)模型来评估与人体工程学相关的 MSD。通过文献回顾和专家推荐的指令确定了工作过程和工作工具人体工程学风险因素。使用 RULA 评估工作姿势。数据收集方法是通过参与式人体工程学和设计科学原则实施的。FMI 结果显示平均 MSD 评分为 3.69,表明风险高到极高。表面图显示,与其他两种组合相比,组合工作工具和工作过程是对 MSD 风险最敏感的因素。双样本 t 检验验证了 FMI。研究结果应有助于安全专家和管理人员为印度采矿业的可持续性制定有效的 OHS 管理计划和方案。