企业总人机工程学风险评分计算的决策框架

A. Adem, M. Dağdeviren
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引用次数: 0

摘要

为了确保蓝领员工的安全生产环境,每个工作场所都必须考虑噪声,振动等物理人体工程学风险因素(PERFs)。然而,PERFs需要理论和实践信息来了解其特征和对员工健康的负面影响。本文提出了一个易于理解的可持续工效学指南,其中包括关于PERFs计算细节的理论和实践信息,评估工效学风险因素的决策(DM)工具,以及计算公司总工效学风险评分的公式。在决策过程中,利用层次分析法的毕达哥拉斯模糊扩展来评估相对于社会、技术、环境和经济标准的PERFs。为了显示本指南的适用性,在安卡拉的一家公司进行了实际应用。根据调查结果,技术标准被确定为最关键的因素([公式:见案文]),其次是社会因素,即与健康有关的因素([公式:见案文])。通过对pefs和DM过程中得到的系数的测量,计算出公司的总风险评分。进行了全面的敏感性分析以验证指南的稳健性。本文的主要贡献在于,基于模糊决策技术和风险参数的阈值限制,推导出了可用于计算任意类型公司的总人机工程学风险评分的公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Decision-Making Framework for Total Ergonomic Risk Score Computation in Companies
To ensure a safe production environment for blue-collar employees, physical ergonomic risk factors (PERFs) such as noise, the vibration must be considered in every workplace. However, PERFs require both theoretical and practical information to figure out their characteristics and negative health effects on employees. This paper proposes an easy-to-follow sustainable ergonomic guide that includes the theoretical and practical information about the calculation details of PERFs, a decision-making (DM) tool to evaluate ergonomic risk factors, and a formula to calculate the total ergonomic risk score of a company. In the DM process, the Pythagorean fuzzy extensions of the Analytical Hierarchy Process were utilized to evaluate PERFs with respect to the social, technical, environmental, and economic criteria. To show the applicability of this guide, a real-world application was conducted in a company located in Ankara. According to the results, technical criteria were determined as the most critical ([Formula: see text]), followed by the social, i.e., health-related factor ([Formula: see text]). The total risk score of the company was calculated using the measurement of the PERFs and the coefficients obtained from the DM process. A comprehensive sensitivity analysis was conducted to validate the robustness of the guide. The main contribution of this paper is that a formula that can be utilized to calculate the total ergonomic risk score of any type of company was developed, based on the fuzzy DM technique and Threshold Limit Values of risk parameters.
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