A thorough improvement in mine safety is contingent on many factors that require scientific decision-making for selection and prioritizing of important factors for safety improvement. Their analysis using an established scientific method can improve mines’ safety conditions and assist the administration for informed decision-making. This research establishes a mine safety evaluation index and proposes an integrative model based on the entropy weight and grey clustering methods. In the evaluation index, 27 significant factors of safety are identified and categorized into 7 criteria. The proposed evaluation system analyzes all indicators according to Pakistan’s current mine safety situation and their significance for potential safety improvement in the future. Results reveal that current safety practices are outdated due to a lack of mechanization in the mining industry and minimal capability of the management to achieve the desired safety targets. Appropriate safety policies and safety education are missing in the daily working environment. The lack of overseeing the execution of safety operations and the lack of ambition and strong work ethic workers contribute to the paucity of mines’ safety conditions. The prevention and control systems to manage risks and hazard are not in place, and the working environment in mines remain difficult. Therefore, to have enhanced mine safety, important factors can be addressed in chronological order, as presented in this paper. The proposed methodological approach can be applied to other prioritization applications to analyze the indicators and determine the appropriate management strategies.

矿山安全的彻底改善取决于许多因素，需要科学决策来选择和优先考虑安全改善的重要因素。他们使用既定的科学方法进行分析可以改善矿山的安全条件并协助管理部门做出明智的决策。本研究建立了矿山安全评价指标，并提出了基于熵权和灰色聚类方法的综合模型。在评价指标中，确定了27个重要的安全因素，分为7个标准。拟议的评估体系根据巴基斯坦当前的矿山安全状况及其对未来潜在安全改进的意义，对所有指标进行分析。结果表明，由于采矿业缺乏机械化以及管理层实现预期安全目标的能力极低，当前的安全实践已经过时。日常工作环境中缺少适当的安全政策和安全教育。缺乏对安全操作执行的监督以及缺乏雄心和强烈的职业道德的工人导致了矿山安全条件的匮乏。管理风险和危害的防控体系不健全，矿山工作环境依然严峻。因此，为了提高矿山安全，可以按时间顺序处理重要因素，如本文所述。