模糊环境下风险评估和排序的数据驱动和成本导向 FMEA-MCDM 方法:液压泵厂案例研究。

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2024-11-01 Epub Date: 2024-05-31 DOI:10.1111/risa.14338
Hossein Shakibaei, Saba Seifi, Jun Zhuang
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引用次数: 0

摘要

在当今竞争激烈的商业环境中,企业通过最大限度地减少或消除干扰和故障来保持竞争优势,从而努力实现利润最大化。本研究的重点是评估液压泵厂的风险,以此实现可持续增长。为实现这一目标,组建了一个专家团队来识别潜在的错误,利用模糊香农熵加权的风险优先级数标准组合,以及多标准决策和故障模式与影响分析的融合,对故障进行评估和排序。此外,该研究还强调了考虑风险评估指标之间的相互作用、纳入故障成本以及在模糊不确定性情况下建模的重要性,因为它们对风险缓解行动规划所要处理的故障的最终排序具有显著影响。这项研究通过机器学习中的数据分类和统计学中的相关性的新颖应用,为通过汇总提高风险评估的整体有效性带来了新的维度。研究结果表明,聚合排名数据序列与加权聚合总和产品评估方法的匹配度最高,受其影响也最大,召回率和精确率也最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A data-driven and cost-oriented FMEA-MCDM approach to risk assessment and ranking in a fuzzy environment: A hydraulic pump factory case study.

In today's highly competitive business environment, firms strive to maximize profitability by minimizing or eliminating disruptions and failures to maintain a competitive edge. This study focuses on evaluating risks in a hydraulic pump factory as a means to achieve sustainable growth. To accomplish this, a team of experts was formed to identify potential errors, utilizing a combination of risk priority number criteria weighted by Fuzzy Shannon's entropy and a fusion of multi-criteria decision-making and failure mode and effects analysis for evaluating and ranking failures. Moreover, the study emphasizes the importance of considering the interaction among risk assessment indicators, the inclusion of cost of failure, and modeling under fuzzy uncertainty circumstances, as they have a notable impact on the final ranking of failures to be processed for risk mitigation action planning. This research brings a new dimension to enhance the overall effectiveness of risk assessment by aggregation, as evidenced by a novel use of data classification in machine learning and correlation in statistics. The findings indicate that the aggregated ranking data series is best matched and most influenced by the weighted aggregated sum product assessment method, with the highest rate of recall and precision accomplished.

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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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