6sigma概念與應用_1-文庫吧
2025-02-19 12:41 本頁面
【正文】 XXX XXXOffTarget UnpredictableOnTarget 6?? Helps us Identify and Reduce VARIATION due to: Insufficient Process Capability Unstable Parts Materials Inadequate Design MarginWellTargetUSLLSLTargetUSLLSLTargetUSLLSLCenterProcessReduceSpreadOffTarget UnpredictableOnTargetDefectsProblem Solving Approach“Lower Specification Limit” “Upper Specification Limit”Less Variation Means Fewer Defects Higher Process Yields Well6?有多小 ?Sigma????????????PPM2,70045,500317,310面積一般教室 2倍約 6甲地約 30個中正紀念堂略大於臺北市臺北縣的兩倍半臺灣省的面積時間1 秒鐘 分鐘9 小時半個月約 9 個月5 年Well6?的四個假設常態(tài)分配177。?偏移?和 ?已知缺點乃隨意分佈，且不同零件及製程相互獨立Well偏移 177。?在動態(tài)的真實世界中，每一件事都在不停的變化著溫度溼度工具的磨耗原料的差異 ......?乃由機率、估計、經(jīng)驗而來參考資料 :Evans, . (1975) : Statistical Tolerancing : The State of the Art, Part III. Shifts and Drifts.Well?Well6?的品質(zhì)水準 ppm , Cp=2中心值 177。?的偏移 ppm, Cpk=或用 npmo (nonconformities per million opportunities)表示W(wǎng)ellWellSigma DPMO Yield Sigma DPMO Yield6 21 32 48 72 1081592333374836879681,3501,8662,5553,4674,6616,2108,19810,72413,90317,86422,75028,71635,93044,56566,807%% % % % % % % % % % % % % % % % % % % %% % % %%%%%% 66,80780,070135,666158,655184,060211,855241,964274,253308,538344,578382,089420,740460,172500,000539,828579,260617,911655,422691,462725,747758,036788,145815,940841,345864,334884,930903,199919,243%%% % % % % % % % % % % % % % % % % % %% % % %%%%%% Sigma VS. DPMOWelln 衡量指標n 標竿研究n 願景n Philosophyn 方法n 工具n 符號n 目標n 價值s 23456308
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