A Novel Risk Assessment Approach for Open-Cast Coal Mines Using Hybrid MCDM Models with Interval Type-2 Fuzzy Sets: A Case Study in Türkiye

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Systems Pub Date : 2024-07-25 DOI:10.3390/systems12080267
Mert Mutlu, Nazli Ceren Cetin, Seyhan Onder
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Abstract

Mining is a high-risk industry where occupational accidents are common due to its complex nature. Therefore, providing a more holistic and dynamic risk assessment framework is essential to identify and minimize the potential risks and enhance safety measures. Unfortunately, traditional risk assessment methods have limitations and shortcomings, such as uncertainty, differences in experience backgrounds, and insufficiency to articulate the opinions of experts. In this paper, a novel risk assessment method precisely for such cases in the mining sector is proposed, applied, and compared with traditional methods. The objective of this study is to determine the risk scores of Turkish Coal Enterprises, based on non-fatal occupational accidents, which operates eight large-scale open-cast coal mine enterprises in Türkiye. The causes of the accidents were categorized into 25 sub-criteria under 6 main criteria. The risk scores for these criteria were computed using the Pythagorean fuzzy Analytical Hierarchy Process (PFAHP) method. The first shift (8–16 h) (0.6341) for the shift category is ranked highest out of the 25 sub-risk factors, followed by maintenance personnel (0.5633) for the occupation category; the open-cast mining area (0.5524) for the area category, the 45–57 age range (0.5279) for employee age category, and the mining machine (0.4247) for the reason category, respectively. The methodologies proposed in this study not only identify the most important risk factors in enterprises, but also provide a mechanism for risk-based rankings of enterprises by their calculated risk scores. The enterprises were risk-based ranked with the fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) method and Paksoy approach based on interval type-2 fuzzy sets (IT2FSs). The findings indicate that the first three risk score rankings of enterprises are the same for both approaches. To examine the consistency of the applied methods, sensitivity analyses were performed. The results of the study also indicate that the proposed approaches are recommended for effective use in the mining sector due to their ease of application compared to other methods and their dynamic nature in the risk assessment process.
使用带有区间 2 型模糊集的混合 MCDM 模型对露天煤矿进行风险评估的新方法:土耳其案例研究
采矿业是一个高风险行业,由于其复杂性,职业事故频发。因此,提供一个更加全面和动态的风险评估框架对于识别和最大限度地降低潜在风险以及加强安全措施至关重要。遗憾的是,传统的风险评估方法存在局限性和缺陷,如不确定性、经验背景差异、专家意见表达不充分等。本文提出了一种新型风险评估方法,该方法正是针对采矿业中的此类情况而设计、应用的,并与传统方法进行了比较。本研究的目的是根据土耳其八家大型露天煤矿企业发生的非致命职业事故,确定土耳其煤炭企业的风险分数。事故原因被分为 6 个主要标准下的 25 个次级标准。采用毕达哥拉斯模糊层次分析法(PFAHP)计算了这些标准的风险分数。在 25 个子风险因素中,班次类别中的第一班(8-16 小时)(0.6341)排名最高,其次分别是职业类别中的维修人员(0.5633)、区域类别中的露天采矿区(0.5524)、员工年龄类别中的 45-57 岁(0.5279)和原因类别中的采矿机(0.4247)。本研究提出的方法不仅可以识别企业中最重要的风险因素,还提供了一种通过计算风险得分对企业进行风险排序的机制。采用与理想解相似的模糊排序偏好技术(FTOPSIS)方法和基于区间型-2 模糊集(IT2FSs)的 Paksoy 方法对企业进行了基于风险的排序。研究结果表明,两种方法对企业的前三个风险得分排名是相同的。为了检验两种方法的一致性,还进行了敏感性分析。研究结果还表明,与其他方法相比,拟议的方法易于应用,而且在风险评估过程中具有动态性质,因此建议在采矿业中有效使用这些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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