Product Quality Expectations and Failure Rate Prediction - The Parts Count Method and Causal Analysis

机译：产品质量期望和故障率预测-零件计数法和因果分析

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Today, failure rates provide important information on product quality for both the product manufacturer as well as for the costumer. It is more and more industrial practice to dispute on product failure rates in business negotiations and to fix them by contract. If- later on - the declared failure rate turns out to be not achieved, the product provider may be obliged to cancel the damage committed to the costumer and possibly to pay fines. There are generally two different sources for obtaining product failure rates: field data analysis and failure rate prediction. While field data analysis is the preferred source as long as field data is available and representative, failure rate prediction is standardized, thus - in a certain sense - objective, and the only available method to obtain a failure rate if field data lacks.

机译：如今，故障率为产品制造商和客户提供了有关产品质量的重要信息。在业务谈判中对产品故障率提出争议并通过合同进行解决是越来越多的行业惯例。如果以后无法达到声明的故障率，则产品供应商可能有义务取消对客户的损害，并可能要支付罚款。获得产品故障率的方法通常有两种不同的来源：现场数据分析和故障率预测。只要可以使用现场数据并具有代表性，现场数据分析是首选来源，但故障率预测是标准化的，因此从某种意义上讲是客观的，并且是缺少现场数据时获得故障率的唯一可用方法。

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《International Conference on Probabilistic Safety Assessment and Management(PSAM7-ESREL'04) v.6; 20040614-20040618; Berlin; DE》|2004年|P.3503-3508|共6页
会议地点 Berlin(DE);Berlin(DE);Berlin(DE);Berlin(DE)
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Andreas Behr;
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Innstrasse 8 D-12045 Berlin Federal Republic of Germany;

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原文格式 PDF
正文语种 eng
中图分类安全系统学;
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Product Quality Expectations and Failure Rate Prediction - The Parts Count Method and Causal Analysis

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