《质量工程》特刊简介

IF 1.3 4区工程技术 Q4 ENGINEERING, INDUSTRIAL

Quality Engineering Pub Date : 2022-10-02 DOI:10.1080/08982112.2022.2133883

R. Hoerl, R. Snee

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引用次数: 0

摘要

本期《质量工程》专刊专门讨论统计工程（SE）的主题。SE作为一门学科发展的主要动机是统计数据对社会的影响（这是值得注意的）与它可能和应该产生的影响（将是变革性的）之间的差距。具有讽刺意味的是，十年前，Christine Anderson Cook和Lu Lu看到了这一期，并共同编辑了《SE质量工程》的第一期特刊（Anderson Cooks和Lu 2012），这在当时才刚刚开始成为一门独特的学科。2012年至2022年间发生了很多事情，因此我们认为这是在发表了许多关于该主题的开创性论文的期刊上重新审视SE的绝佳时机。Anderson Cook和Lu在第一期特别版的介绍中表示：

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Introduction to special edition of Quality Engineering

This special issue of Quality Engineering is dedicated to the topic of statistical engineering (SE). The primary motivation for the development of SE as a discipline has been the gap between the impact statistics has had on society, which has been noteworthy to be sure, and the impact that it could and should have, which would be transformational. Ironically, ten years ago Christine Anderson-Cook and Lu Lu saw this issue, and co-edited the first special edition of Quality Engineering on SE (Anderson-Cook and Lu 2012), which at that time was just beginning to emerge as a unique discipline. A lot has happened between 2012 and 2022, hence we feel that this is an excellent time to revisit SE in the journal that has published many of the seminal papers on the topic. In their introduction to the first special edition, Anderson-Cook and Lu stated:

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来源期刊

Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY

CiteScore

3.90

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed. You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.