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Optimization Methods in Continuous Improvement Models A Relational Review

机译:持续改进模型中的优化方法关系回顾

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摘要

There are numerous processes used to implement quality, such as TQM, 6 Sigma, and Lean. For these quality processes to remain effective, a continuous improvement model is required and implemented from time to time. Some of these models include Define, Measure, Analyse, Improve and Control (DMAIC); Plan, Do, Check, and Act (PDCA); Identify, Measure, Problem Analysis, Remedy, Operationalize, Validate, and Evaluate (IMPROVE); and Theory of Constraint (TOC). Furthermore, continuous improvement tools need to remain effective through the use of optimization techniques to produce the best possible outcomes. This article discusses some of the current utilization of these tools and proposes different optimizing techniques and variations to make robust quality implementation tools.
机译:有许多用于实现质量的流程,例如TQM,6 Sigma和Lean。为了使这些质量流程保持有效,需要持续改进模型,并不时实施。其中一些模型包括定义,测量,分析,改进和控制(DMAIC);计划,执行,检查和采取行动(PDCA);识别,测量,问题分析,补救,可操作性,验证和评估(IMPROVE);和约束理论(TOC)。此外,持续改进工具需要通过使用优化技术来保持有效,以产生最佳结果。本文讨论了这些工具的当前使用情况,并提出了各种不同的优化技术和变体来制作强大的质量实现工具。

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