Control Chart 管制圖 管制圖是一種可用來決定製程可繼續運作或因有問題須解決而必須停止的圖形 工具。管制圖是依時間次序將數據劃圖,會加上 3 條特別的線。 Centerline(CL)管制中心線: 當製程是 In-control 時,表示製程平均成果(平均值,標準差,良率等等…..) Upper and Lower Control Limits(UCL and LCL)...
Control Chart Rules > Out of Control Color Lets you specify the color of the outlier points as determined by your rules (the default color is red). In the example, the outlier color has been set to orange. Control Chart Rules > Beyond Limits Turns on the "Beyond Limits" rule, which...
“normal”. the two types of control charts that are typically used in boyd’s injection molding are individual charts and x-bar r charts. as seen in the below example, both these charts feature two elements – 1) a center line which is the mean (average) for the particular data set ...
4、CL=2.Range:UCL=LCL=AttributeChartsP(1P)nUsingthefollowinginformation,constructacontrolchartthatwilldescribe95.5percentofthechancevariation.Eachsamplecontains100units.SampleDefectsSampleDefects114118210121231213941314105915116111610710178:81218129131910:10102016TotalNumberofDefects=220defectsobservationsRollsofcoiledwirearemon...
SPC(Statistical Process Control)控制图自从休哈特1924年发明以来,在以汽车行业为代表的制造业中被广泛用来监控和改进生产过程,试图通过产品质量特性变化趋势来进行质量预防,改变旧有的事后质量检验的方式,来降低质量成本,并被列入汽车行业质量管理五大工具之一。
Example: We have a filling operation for a 16-oz box of cereal. The following 20 samples have been identified to build means and range control charts. Number Mean Range Number Mean Range 1 16.24 1.38 11 15.84 2.95 2 16.36 2.33 12 16.34 2.57 3 16.29 1.50 13 15.82 2.72 4 16.23 2.07 14...
SPC(Statistical Process Control)控制图自从休哈特1924年发明以来,在以汽车行业为代表的制造业中被广泛用来监控和改进生产过程,试图通过产品质量特性变化趋势来进行质量预防,改变旧有的事后质量检验的方式,来降低质量成本,并被列入汽车行业质量管理五大工具之一。
SPC(Statistical Process Control)控制图自从休哈特1924年发明以来,在以汽车行业为代表的制造业中被广泛用来监控和改进生产过程,试图通过产品质量特性变化趋势来进行质量预防,改变旧有的事后质量检验的方式,来降低质量成本,并被列入汽车行业质量管理五大工具之一。
Range: UCL = LCL = Attribute Charts Using the followi ng in formati on, con struct a con trol chart that will describe 95.5 perce nt of the chance variation. Each sample contains 100 units. Sample Defects Sample Defects 1 14 11 8 2 10 12 12 3 12 13 9 4 13 14 10 5 9 15 11 ...
SPC(Statistical Process Control)控制图自从休哈特1924年发明以来,在以汽车行业为代表的制造业中被广泛用来监控和改进生产过程,试图通过产品质量特性变化趋势来进行质量预防,改变旧有的事后质量检验的方式,来降低质量成本,并被列入汽车行业质量管理五大工具之一。