{"title":"基于网络分析的PC-FMEA评价","authors":"Edina Ungvári, I. Gyurika","doi":"10.33927/hjic-2022-20","DOIUrl":null,"url":null,"abstract":"PC-FMEA is a method that combines the pairwise comparison and basic FMEA (Failure Modes and Effects Analysis) methods. Using the pairwise comparison, which of the risks is more severe, common or noticeable can be determined. The results evaluated by the pairwise comparison can be modeled with networks, where the risks can be ranked according to the criteria using the PageRank and weighted in-degree values. Applying these two solutions together, a form of risk assessment can be created where risks are assessed by pairwise comparisons and the results analyzed using network research tools. The resulting method also provides two types of evaluations to rank the risks and also facilitates visualization. This study aimed to develop the application of PC-FMEA in network research.","PeriodicalId":43118,"journal":{"name":"Hungarian Journal of Industry and Chemistry","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluation of PC-FMEA Using Network Analysis\",\"authors\":\"Edina Ungvári, I. Gyurika\",\"doi\":\"10.33927/hjic-2022-20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PC-FMEA is a method that combines the pairwise comparison and basic FMEA (Failure Modes and Effects Analysis) methods. Using the pairwise comparison, which of the risks is more severe, common or noticeable can be determined. The results evaluated by the pairwise comparison can be modeled with networks, where the risks can be ranked according to the criteria using the PageRank and weighted in-degree values. Applying these two solutions together, a form of risk assessment can be created where risks are assessed by pairwise comparisons and the results analyzed using network research tools. The resulting method also provides two types of evaluations to rank the risks and also facilitates visualization. This study aimed to develop the application of PC-FMEA in network research.\",\"PeriodicalId\":43118,\"journal\":{\"name\":\"Hungarian Journal of Industry and Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hungarian Journal of Industry and Chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33927/hjic-2022-20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hungarian Journal of Industry and Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33927/hjic-2022-20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 1
摘要
PC-FMEA是一种结合了两两比较和基本FMEA (Failure Modes and Effects Analysis)方法的方法。使用两两比较，可以确定哪些风险更严重，更常见或更明显。通过两两比较评估的结果可以用网络建模，其中可以根据使用PageRank和加权度值的标准对风险进行排名。将这两种解决方案结合使用，可以创建一种风险评估形式，其中通过两两比较评估风险，并使用网络研究工具分析结果。由此产生的方法还提供了两种类型的评估来对风险进行排序，并且还促进了可视化。本研究旨在探讨PC-FMEA在网络研究中的应用。
PC-FMEA is a method that combines the pairwise comparison and basic FMEA (Failure Modes and Effects Analysis) methods. Using the pairwise comparison, which of the risks is more severe, common or noticeable can be determined. The results evaluated by the pairwise comparison can be modeled with networks, where the risks can be ranked according to the criteria using the PageRank and weighted in-degree values. Applying these two solutions together, a form of risk assessment can be created where risks are assessed by pairwise comparisons and the results analyzed using network research tools. The resulting method also provides two types of evaluations to rank the risks and also facilitates visualization. This study aimed to develop the application of PC-FMEA in network research.
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