使用Dinna解决问题的5个维度:电子行业的案例研究

M. Hamoumi, A. Haddout, M. Benhadou
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引用次数: 0

摘要

基于“完美是一种神圣的标准”的原则,过程管理的存在一方面是为了达到卓越(接近完美),另一方面是为了避免不完美。换句话说,卓越运营(EO)是一种方法,当严格使用时,旨在实现性能最大化。因此,要达到这样的绩效水平,掌握解决问题的能力仍然是必要的。无论是解决长期问题的持续改进(KAIZEN, DMAIC,精益六西格玛…)还是解决零星缺陷(8D, PDCA, QRQC…),我们都可以使用许多工具。然而,这些方法通常使用相同的基本工具(Ishikawa图、5个为什么、原因树……)来识别潜在原因和根本原因。这导致三个层次的原因:发生,未检测和系统。本研究将DINNA图[1]的发展视为一种将石川图与5个为什么法联系起来的有效且高效的过程,以识别根本原因并避免再次发生。如果两个具有相似技能的工作组分别分析相同的问题,则最终目标是实现相同的结果,为此,需要一致地应用一种可靠的方法。因此,我们讨论的是5维;发生、未发现、系统、有效性和效率。因此,本文提供了一种既有效又高效的解决方案,可以帮助工业问题解决的从业者避免错过真正的根本原因,并在错误决策后节省成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The 5 Dimensions of Problem Solving using Dinna: Case Study in the Electronics Industry
Based on the principle that perfection is a divine criterion, process management exists on the one hand to achieve excellence (near perfection) and on the other hand to avoid imperfection. In other words, Operational Excellence (EO) is one of the approaches, when used rigorously, aims to maximize performance. Therefore, the mastery of problem solving remains necessary to achieve such performance level. There are many tools that we can use whether in continuous improvement for the resolution of chronic problems (KAIZEN, DMAIC, Lean six sigma…) or in resolution of sporadic defects (8D, PDCA, QRQC ...). However, these methodologies often use the same basic tools (Ishikawa diagram, 5 why, tree of causes…) to identify potential causes and root causes. This result in three levels of causes: occurrence, no detection and system. The research presents the development of DINNA diagram [1] as an effective and efficient process that links the Ishikawa diagram and the 5 why method to identify the root causes and avoid recurrence. The ultimate objective is to achieve the same result if two working groups with similar skills analyse the same problem separately, to achieve this, the consistent application of a robust methodology is required. Therefore, we are talking about 5 dimensions; occurrence, non-detection, system, effectiveness and efficiency. As such, the paper offers a solution that is both effective and efficient to help practitioners of industrial problem solving avoid missing the real root cause and save costs following a wrong decision.
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