3.。质量管理的统计工具

Guido Orzes, Alessio Dal Bo
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引用次数: 1

摘要

如今,公司被要求管理越来越大、越来越复杂的数据量。因此,提前做出正确的预测和估计可能出现的危险情况比以往任何时候都更加重要。统计工具是支持质量管理和生产过程分析的关键元素,允许管理人员以各种方式预测将出现的情况。在对统计学进行一般性介绍之后,本章讨论了用于描述、可视化和分析数据的主要统计技术,特别关注验证结论质量和一致性的方法(即置信区间和假设验证)。最后,介绍了一些先进和广泛的质量管理统计工具:质量控制图、历史序列和随机控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3. Statistical Tools for Quality Management
Companies are nowadays called to manage increasingly larger and more complex quantities of data. Making good predictions and estimating a possible risky situation in advance is therefore more important than ever. The statistical tools are a key element to support quality management and production process analyses, allowing managers to anticipate, in various ways, the situations that will arise. After a general introduction to statistics, this chapter discusses the main statistical techniques used to describe, visualize, and analyze data, with particular attention to the methods that allow to verify the quality and consistency of the conclusions (i.e., confidence intervals and hypothesis verification). Finally, some advanced and widespread quality management statistical tools are presented: quality control charts, historical series, and stochastic control.
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