6sigma(六西格玛) 理推展步骤
DATE: 2019-1-14一、定 ?Define)选定专案与改善指?/span>
1.企业诊断与辅?/span>
2.高阶ȝSix sigma观念导入训练
3.专案l理(盟主Champion)训练
4.专案负责?黑带Black Belt)训练
5.专案执行?l带Green Belt)训练
*{略分析/ 文化变革
6.选定专案及设定目?/span>
7.定义关键性顾客需?/span>
*关键品质 (CTQ, Critical To Quality)/关键输出变数(KPOV, Key Process Output Variables)/直通率(RTY, Rolled Throughput Yield)/ 品质展开 (QFD, Quality Function Deployment)/ VOC (Voice of Customers)/ C&E (Cause & Effect) Matrix/ Tree Diagram/ FFA(Force Field Analysis)
8.订立专案衡量指标
*推移?Run Chart)/ 制?Control Chart)
9.专案成本效益评量
*不良品质成本(Cost of Poor Quality, COPQ)/投资模式(Investment Model)
10.订定专案执行计画
*甘特?Gatt Chart)
二、评 ?Measure)扑և问题的所?/span>
11.分析程
*程?Process Mapping)/ C&E Matrix
12.不良模式及效应分?/span>
*DFMEA / PFMEA (Design/ Process Failure Mode and Effect Analysis)
13.获得潜在的KPIV's&KPOV's
*KPIV's( Key Process Input Variables)/ KPOV's
14.评量专案的计量能?l效
*柏拉?Pareto Chart)/制程能力(Process Capability: Ca, Cp, CPK, PPK, Cpm)
15.q行量测pȝ分析
*量测pȝ分析(MSA, Measurement System Analysis— Gauge Reproducibility and Repeatability Analysis) /变异成䆾分析(Variation Component Analysis)
三、分 ?Analyze)了解造成问题的关键因?/span>
16.分析程的变异来?/span>
*多元变异?型?/span>
17.定相兛_数在l计上的显著?/span>
*假设?Hypothesis tests)
18.军_变异的主成分
*变异成䆾分析
19.分析变数间的相关?/span>
*相关回归(Regression)/变异数分?ANOVA, Analysis of Variance)
四、改 ?Improve)排除关键因素的不E_?/span>
20.使用实验计画Q找出降低KPOV's变异影响的重要因?KPIV's)与最x?/span>
*实验计画(DOE, Design of Experiment)/ 田口品质工程(Taguchi Quality Engineering)/反应曲面分析(RSA, Response Surface Analysis)
21.认降低变异的KPIV's之最适条?/span>
*效应曲面?RSA) 五、管 ?Control)保所有的指标在管制范围内
22.订定制计画及KPIV's制图,及时侦测与管制KPIV's的变异原?/span>
*l计制 (SPC, Statistical Process Control)
23.制程的改善、制E能?l效
*Project Tracking
*Information Technology
*Investment Model/ COPQ
24.l合专案l济效益及W效目标的达成l果Qƈ持箋q踪与管Ӟ以确保改善成果的持箋?/span>
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