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首页> 外文期刊>International Journal of Quality Engineering and Technology >Quality Insights: Learning, forgetting, and relearning quality: a half-life learning curve modelling approach
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Quality Insights: Learning, forgetting, and relearning quality: a half-life learning curve modelling approach

机译:质量见解:学习,忘记和重新学习质量:半衰期学习曲线建模方法

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摘要

Learning curves are used extensively in business, science, technology, engineering, and industry to predict system performance over time. Although most of the early developments and applications were in the area of production engineering, general applications can be found in all areas of applications. Quality engineering and technology, in particular, offer a fertile area for the application of learning curves. This paper applies the concept of half-life of learning curves to quality management. This is useful for predictive measures of quality system performance. Half-life is the amount of time it takes for a quantity to diminish to half of its original size through natural processes. The approach of half-life computation provides additional decision tool for researchers and practitioners in quality engineering and technology. Derivation of the half-life equations of learning curves can reveal more about the properties of the various curves, with respect to the unique life-cycle property of product quality.
机译:学习曲线广泛用于商业,科学,技术,工程和行业中,以预测一段时间内的系统性能。尽管大多数早期开发和应用程序都在生产工程领域,但在所有应用程序领域都可以找到常规应用程序。高质量的工程技术尤其为学习曲线的应用提供了肥沃的领域。本文将学习曲线的半衰期概念应用到质量管理中。这对于质量系统性能的预测度量很有用。半衰期是指数量通过自然过程减少到其原始大小的一半所花费的时间。半衰期计算方法为质量工程和技术领域的研究人员和从业人员提供了额外的决策工具。相对于产品质量的独特生命周期属性,推导学习曲线的半衰期方程可以更多地揭示各种曲线的特性。

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