今天分享的是6Sigma英文,主題是:DMAIC的分析階段,需要閱讀原文,請點擊文末左下角“閱讀原文”,中文為浦亮元翻譯。覺得有用,請分享出去!加外語群/提供建議/英文簡歷翻譯/廣告推廣,請聯系微信puliangyuan。 Six Sigma methodologies have had so much success, mainly because it is data-driven. In other words, the data will give you all the information, and based on that information you will know how to proceed. It is working smart without guessing or using the luck of the draw, so the Analyze Phase of DMAIC deserves to be talked about today. 六西格瑪方法論,已經取得了圓滿的成功,主要是因為該方法是以數據為驅動的。換句話說,數據會向你提供所有的信息,基于這些信息,你將知道如何前行。無需猜測或者利用運氣,這是一份靈活的工作,所以, DMAIC的分析階段值得我們來探討。 What’s done in this phase? In this phase, you will do a data and process analysis and measure the gap that is preventing you from your goal performance. This will automatically lead you to doing a root cause analysis. 這個階段做了什么呢?在這一階段,你需要做數據分析和過程分析,并衡量阻礙你實現目標績效的差距,這會自動引導你做根本原因分析。 在根本原因分析中所完成的步驟 After doing a data and process analysis to identify the possible causes, these are the steps: 為確認可能的原因,在做數據分析和過程分析以之后,所需的步驟如下: ·Make a list of the possible causes of variation. ·列出發生變化的可能原因。 ·Take apart the cause within the cause of variation (5 Whys) ·在變化原因中剖析原因(5個為什么) ·Make a short list of the most vital causes for variation ·列出發生變化的最重要原因的簡短列表 ·Ascertain and measure the root causes of variation. ·查明并衡量發生變化的根本原因 ·Cause and Effect Diagram, also know as Fishbone Diagram, helps identify the cause of the issue ·因果圖,也被熟知為魚骨圖,有助于找出發生問題的原因。 ·Process Map Analysis: great visualization tool for the team, helps visualize workflow and process steps taken ·流程圖分析:團隊的很不錯的可視化工具,幫助將工作流程和流程步驟可視化 ·Regression Analysis: helps estimate the impact of specific variables have on the final product ·回歸分析:幫助評估特定變量對最終產品的影響 ·FOV diagram: this chart can be used to determine where the source of the most variation is originating. Many times, each one of the family’s sources contributes to the overall process variation. ·變異族圖:這個圖表,可以用來確定絕大多數變異源來自哪里。很多時候,每一個變異族的來源,都對整個過程的變異有貢獻。 Tips Final Thought on the Analyze Phase DMAIC分析階段的思考 Make sure that the data is as accurate as possible and that you accept it as truth. The accuracy of your data collection is directly affiliated with the success of the improvement, thus the success of your business. 要確保數據盡可能地準確,并將數據接受為事實。數據收集的準確性直接與成功改進相關聯,進而,讓業務獲得成功。 |
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