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MEASURE IT, GRAPH IT, CONTROL IT/You cannot control what you do not measure

机译：测量IT，图形IT，控制IT /您无法控制自己不测量的内容

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摘要

YOU have probably heard of statistical process control (SPC), and you probably use it as a tool for quality assurance or quality control. Developed in the 1920s by physicist and mathematician Walter Shewhart, SPC has other uses too. Specifically, it can help to improve productivity and therefore profitability. Manufacturing tube or pipe so that it conforms to a particular manufacturing specification isn't as easy as it sounds. For example, if you produce electric resistance-welded (ERW) tube and pipe for energy applications, you probably conform to a standard specification and rely on documented mill control practices. However, specifications such as API-5L and API-5CT from the American Petroleum Institute (API) and those of ASTM Intl. (formerly the American Society for Testing and Materials) are not detailed enough, complete enough, or comprehensive enough to form a complete pipe mill quality program. These specifications cannot take into account the characteristics and physical condition of each individual mill, so you must use documented mill control practices such as standard operating procedures (SOPs) and quality control checks and procedures.
机译：您可能听说过统计过程控制（SPC），并且可能将其用作质量保证或质量控制的工具。 SPC由物理学家和数学家Walter Shewhart在1920年代开发，它还有其他用途。具体来说，它可以帮助提高生产率，从而提高盈利能力。制造管子以使其符合特定制造规范并不像听起来那样容易。例如，如果您生产用于能源应用的电阻焊（ERW）管和管，则可能符合标准规范，并依赖记录在案的轧机控制实践。但是，诸如美国石油协会（API）的API-5L和API-5CT和ASTM Intl的规范。 （以前是美国测试与材料学会）不够详细，不够完整或不够全面，无法形成完整的钢管厂质量计划。这些规格不能考虑每个工厂的特性和物理条件，因此您必须使用文件化的工厂控制惯例，例如标准操作程序（SOP）以及质量控制检查和程序。

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