SPC统计过程控制表格英文版.doc

Factors For 3-s limits for and chartsLower LimitUpper LimitSample SizeA2D3D421.880.003.2731.020.002.5740.730.002.2850.580.002.1160.480.002.0070.420.081.9280.370.141.8690.340.181.82100.310.221.78150.220.351.65200.180.411.59Example: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.NumberMeanRangeNumberMeanRange116.241.381115.842.95216.362.331216.342.57316.291.501315.822.72416.232.071416.52.13515.752.751515.951.65616.041.371616.233.58716.352.451715.951.68815.542.641815.841.73916.122.671916.102.801016.481.492015.981.89X = 16.1R = 2.22Given the following Set of Data, Determine if the process is in control. Do this for the means chart and the range chart.SampleMeanRangeSampleMeanRange116.22.0716.02.9215.92.1816.11.8316.31.8916.31.5416.43.01016.31.0515.83.51116.41.0615.93.11216.50.9Compute the Upper and Lower Control Limits from original data;1. Means:UCL = LCL = 2. Range:UCL = LCL = Attribute ChartsUsing the following information, construct a control chart that will describe 95.5 percent of the chance variation. Each sample contains 100 units.SampleDefectsSampleDefects1141182101212312139413141059151161116107101788121812913191010102016Total Number of Defects = 220=UCL = LCL = Rolls of coiled wire are monitored using a C-chart. 18 rolls have been examined and the number of defects per roll has been recorded. Is the process in control? Use 2 standard deviation control limits.SampleDefectsSampleDefectsSample