Failure Mode and Effect Analysis using an integrated approach of clustering and MCDM under pythagorean fuzzy environment

Failure Mode and Effect Analysis (FMEA) is an effective risk analysis and failure avoidance approach in the design, process, services, and system. With all its benefits, FMEA has three limitations: failure mode risk assessment and prioritization, complex FMEA worksheets, and difficult application of FMEA tables. This paper seeks to overcome the shortcomings of FMEA using an integrated approach based on a developed Pythagorean fuzzy (PF) k-means clustering algorithm and a popular MCDM method called PF-VIKOR. In the first step, Pythagorean fuzzy numbers (PFNs) were used to collect Severity (S), Occurrence (O), and Detection (D) factors for failure modes to incorporate uncertainty and fuzziness into subjective judgments. Afterward, failure modes were clustered by developing a novel k-means clustering algorithm that accepts PFNs as input. Finally, the PF-VIKOR approach was used to analyze the ordering of cluster risks. The proposed approach was implemented in the dehydration unit of an Iranian gas refinery and the results were compared with the traditional FMEA. The findings showed the flexibility and applicability of the proposed approach in addressing real-world problems. This research provides two key contributions: (1) designing a PFN-based k-means clustering algorithm that tackles FMEA limitations and (2) using the PF-VIKOR method for prioritizing and evaluating failure mode clusters.     

A novel Dempster-Shafer theory-based approach with weighted average for failure mode and effects analysis under uncertainty

Risk priority number (RPN) is a commonly-used prioritization method in failure mode and effects analysis (FMEA) for systemic reliability and safety study. However, conventional RPN confronts wide criticisms, due to the neglect of the uncertainties of experts' opinions. It is important to handle the conflicts among experts' multi-opinions which could be described in imprecise, incomplete or crisp forms in lack of knowledge. In this paper, a novel method is proposed to alleviate and/or eliminate counter-intuitive behaviors against conflicts among multi-opinions under Dempster-Shafer theory. Firstly, the abnormity test for experts’ opinions is undertaken to identify and discard those distinct judgments. Then, an approach to determining the subjective weights of experts is proposed, which is used in weighted average for multi-opinions before calculating RPNs. Finally, the risk priority evaluation on main engine crankcase explosion failure on-board ship is implemented to verify the feasibility of the proposed approach.     

某炼油厂冷却循环水系统故障与危害性分析

根据采集的某炼油厂一年的冷却循环水系统的故障数据,采用故障模式影响及危害性分析方法对该系统的可靠性进行了分析.由该系统结构特点,划分了水冷塔、换热器、水冷塔风机、水泵、水管、阀门等7个子系统及19种故障模式,统计了各子系统的故障率,分析了系统的故障模式及其故障原因,计算了各子系统的危害度.结果表明水泵及水冷塔风机的危害度最高,换热器的危害度排第三,但其故障率排第四,说明在做故障分析时不能只统计故障率而不进行危害度分析.最后提出了相应的改进措施,经过一年的实际运行,效果明显.     

火灾保险与消防管理互动模式研究

在对国内外该领域研究现状进行分析的基础上,提出了我国目前需要研究的主要问题、研究的基本思路和方法以及研究的重点和难点。将国外先进的理论和方法与我国消防监督管理的实践相结合,探索一条适合中国国情的消防管理模式。为完善我国消防与保险方面的相关技术与法规提供了建议,对完善我国消防监督管理的体制、充分发挥火灾保险的重要作用以及调动全社会参与消防的积极性等方面提供了重要的决策依据。     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.     

废显像管玻璃循环经济模式系统分析研究

近年来,我国CRT显像管制造行业迅速发展,但制造显像管所需的大量优质矿石和化工原料的开采和合成过程却破坏了自然生态环境,还造成环境污染.同时,大量被淘汰和不合格的显像管被简单处理,造成巨大的优质资源浪费.采用系统分析的方法,对废显像管玻璃再利用进行环境分析,从而找出适合我国的废显像管玻璃循环经济模式,并使用模糊综合评价对废显像管玻璃循环经济效益的综合评价方式进行了探讨.     

基于风险分析的电力企业新业务新业态安全管理模式研究

为解决电力企业新业务新业态现有安全管理模式匹配性不足问题,以国内某电力企业为例,从业务、所有制、组织模式及地域4个维度分析公司新业务新业态风险及责任,提出4项安全管理策略,完善新业务新业态安全责任清单,制定分类分级管理规范.提出适用于电力企业新业务新业态的"4411"安全管理模式,形成闭环安全管理机制.研究结果可为国内...