Lean, data, and statistics

IF 1.3 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL Quality Engineering Pub Date : 2022-11-16 DOI:10.1080/08982112.2022.2141125
Pere Grima, Lourdes Rodero, X. Tort-Martorell
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引用次数: 0

Abstract

Key Point Although Lean techniques are often presented as something unrelated to statistics, the truth is that many Lean techniques and methodologies use data in varying degrees. Often this data is somewhat underused, and a better use of statistical thinking and basic statistical techniques will enhance the usually good results of these methodologies.
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精益、数据和统计
要点尽管精益技术通常被认为是与统计无关的东西,但事实是,许多精益技术和方法都在不同程度上使用数据。这些数据通常没有得到充分利用,更好地利用统计思维和基本统计技术将提高这些方法通常的良好结果。
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来源期刊
Quality Engineering
Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY
CiteScore
3.90
自引率
10.00%
发文量
52
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.
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