{"title":"人在环事件和普遍早期故障的内在和外在因素的定量分析和评估","authors":"D. Verbitsky","doi":"10.1504/IJHFMS.2018.10014235","DOIUrl":null,"url":null,"abstract":"Comprehensive analyses of complex human-in-the-loop (HITL)-equipment incidents and early failures (EF) are critical for prevention of safety problems. Traditional methods often overestimate extrinsic late-life causes, overlook and/or misattribute prevalent EF causing high losses and missing vital opportunities. Instrumentation-based systemic early failure analysis (SEFA) methodology provides comprehensive assessments of human-technical-mixed root causes and interactions. It also sorts few fundamental intrinsic causes and numerous trivial extrinsic ones using physics and subject-matter specifics (Juran-F10 principle). A typical industry-new EF of micro-wire-wound resistors supported by similar cross-industry errors illustrate the issues proving inherent deficiency of conventional approaches. These urge to restore enhanced modernised SEFA-centred closed feedback loop. The proposed SEFA-based semi-quantitative expert weight assessment better characterises multifaceted HITL incidents-EF vs. the conventional qualitative common-special causes. SEFA has demonstrated concurrent multifaceted improvements and high customer satisfaction for all tiers of modern HITL electronics.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Quantitative analysis and assessment of intrinsic and extrinsic factors in human-in-the-loop incidents and prevalent early failures\",\"authors\":\"D. Verbitsky\",\"doi\":\"10.1504/IJHFMS.2018.10014235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Comprehensive analyses of complex human-in-the-loop (HITL)-equipment incidents and early failures (EF) are critical for prevention of safety problems. Traditional methods often overestimate extrinsic late-life causes, overlook and/or misattribute prevalent EF causing high losses and missing vital opportunities. Instrumentation-based systemic early failure analysis (SEFA) methodology provides comprehensive assessments of human-technical-mixed root causes and interactions. It also sorts few fundamental intrinsic causes and numerous trivial extrinsic ones using physics and subject-matter specifics (Juran-F10 principle). A typical industry-new EF of micro-wire-wound resistors supported by similar cross-industry errors illustrate the issues proving inherent deficiency of conventional approaches. These urge to restore enhanced modernised SEFA-centred closed feedback loop. The proposed SEFA-based semi-quantitative expert weight assessment better characterises multifaceted HITL incidents-EF vs. the conventional qualitative common-special causes. SEFA has demonstrated concurrent multifaceted improvements and high customer satisfaction for all tiers of modern HITL electronics.\",\"PeriodicalId\":417746,\"journal\":{\"name\":\"International Journal of Human Factors Modelling and Simulation\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Human Factors Modelling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJHFMS.2018.10014235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Human Factors Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJHFMS.2018.10014235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantitative analysis and assessment of intrinsic and extrinsic factors in human-in-the-loop incidents and prevalent early failures
Comprehensive analyses of complex human-in-the-loop (HITL)-equipment incidents and early failures (EF) are critical for prevention of safety problems. Traditional methods often overestimate extrinsic late-life causes, overlook and/or misattribute prevalent EF causing high losses and missing vital opportunities. Instrumentation-based systemic early failure analysis (SEFA) methodology provides comprehensive assessments of human-technical-mixed root causes and interactions. It also sorts few fundamental intrinsic causes and numerous trivial extrinsic ones using physics and subject-matter specifics (Juran-F10 principle). A typical industry-new EF of micro-wire-wound resistors supported by similar cross-industry errors illustrate the issues proving inherent deficiency of conventional approaches. These urge to restore enhanced modernised SEFA-centred closed feedback loop. The proposed SEFA-based semi-quantitative expert weight assessment better characterises multifaceted HITL incidents-EF vs. the conventional qualitative common-special causes. SEFA has demonstrated concurrent multifaceted improvements and high customer satisfaction for all tiers of modern HITL electronics.