Chat with us, powered by LiveChat Complete?the?Week 2 Statistical Process Control Methods Worksheet, attached. To begin, measure the entire process over 10-12 periods of time (days, months, years). Use t | Wridemy

## 18 Mar Complete?the?Week 2 Statistical Process Control Methods Worksheet, attached. To begin, measure the entire process over 10-12 periods of time (days, months, years). Use t

This assignment has a grading rubric, attached.

To learn how to apply SPCM to a process, continue the flowchart from Week 1 and identify variances within a process. You can find variances from the data identified in Week 1.

Complete the Week 2 Statistical Process Control Methods Worksheet, attached.

To begin, measure the entire process over 10-12 periods of time (days, months, years). Use time as your Metric.

Create a control chart including the baseline, upper control limits (UCL) and lower control limits (LCL).

NOTE: Feel free to use estimated time when real data is unavailable.

Submit your assignment using the Week 2 Statistical Process Control Methods Worksheet.

You may include your computations and graphs on the work sheet or attach them separately.

Resources

Microsoft® Word, PowerPoint®, Visio®, or Excel®

For online help in creating a control chart with upper control limits (UCL) and lower control limits (LCL) there are multiple websites that will walk you through the process. Search, How to create Control Charts.

OPS/574 v1

Statistical Process Control Methods

OPS/574 v1

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## Process Evaluation

Evaluate your process using 1 of the following:

· Use the lean concept to find ways to eliminate waste and improve the process

· SPC or Six Sigma to reduce defects or variances in the process



## Evaluation of Control Chart and Process Metrics

Complete the following in Excel:

· Calculate the defined process metrics including variation and process capability.

· Develop and display a control chart for the process.

Evaluate the control chart and process metrics using Statistical Process Control (SPC) methods. Determine whether the process could benefit from the use of Six Sigma, Lean, or other tools. (Include all calculation and charts.)



## Executive Summary

· A summary of the Process Evaluation (using either Lean or SPC or Six Sigma)

· A summary of the Evaluation of Control Chart and Process metrics based on SPC methods

· A summary of your evaluation of whether the process would benefit from the use of Six Sigma, Lean, or other tools

· A description of the SPC project and recommendations for improvements



,

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## Data Entry

 Quality Tools Control Charts Description Individuals Chart This template illustrates a Statistical Process Control (SPC) chart. A detailed discussion of SPC charts can be found at www.ASQ.org Learn About Statistical Process Control Instructions ● Select the correct subgroup size. When in doubt, select a subgroup size of one. Partial subgroups are not displayed. ● Enter up to 200 data points in the cells provided. Do not enter values in the subgroup column. These cells update automatically to show the subgroup in which the data point is included. Moving Range Chart ● Identify any out of control conditions. Four tests are performed. Use the legend to identify the points corresponding to a particular test. ● If a test looks for a proportion of points, only the offending point will be identified. For example, if eight points in a row are on one side of the centerline only the eighth point will be identified. Learn More ● If a point fails more than one test, only one color will be displayed. To learn more about other quality tools, visit the ASQ Learn About Quality web site. Learn About Quality Three Sigma Limit A single point outside the control limits Two Sigma Limit Two of three pts outside the two sigma limit One Sigma Limit Four of Five pts outside the one sigma limit Average Eight in a row on the same side of centerline Control Chart Data 1.424 Xbar/IMR Chart Avg 10.076 Xbar one sigma Upper Limit 17.142 Rbar one sigma Upper Limit 9.7581 Range Chart Avg 18.728 Xbar two sigma Upper Limit 24.525 Rbar two sigma Upper Limit 8.650766415 Rbar/d2 27.38 Xbar three sigma Upper Limit 31.909 Rbar three sigma Upper Limit 125 Number of samples -7.228 Xbar one sigma Lower Limit 2.3745 Rbar one sigma Lower Limit 1 Subgroup size -15.88 Xbar two sigma Lower Limit n/a Rbar two sigma Lower Limit 125 Number of subgroups -24.53 Xbar three sigma Lower Limit n/a Rbar three sigma Lower Limit Sub Group Data Sub Group Data Sub Group Data Sub Group Data Sub Group Data Sub Group Data Sub Group Data Sub Group Data 1 15 26 -5 51 24 76 32 101 18 126 151 176 2 7 27 12 52 14 77 22 102 8 127 152 177 3 -2 28 -6 53 10 78 18 103 4 128 153 178 4 -5 29 -9 54 -4 79 16 104 -2 129 154 179 5 -10 30 -8 55 -4 80 -4 105 -8 130 155 180 6 7 31 19 56 12 81 16 106 6 131 156 181 7 2 32 11 57 4 82 10 107 0 132 157 182 8 -8 33 6 58 6 83 4 108 -6 133 158 183 9 -7 34 0 59 0 84 -2 109 -12 134 159 184 10 -10 35 4 60 -12 85 -8 110 -18 135 160 185 11 -2 36 24 61 9 86 16 111 12 136 161 186 12 -7 37 6 62 -7 87 9 112 6 137 162 187 13 -11 38 6 63 -11 88 1 113 2 138 163 188 14 -15 39 1 64 -17 89 -6 114 -2 139 164 189 15 -20 40 -6 65 -22 90 -12 115 -8 140 165 190 16 -3 41 6 66 15 91 24 116 18 141 166 191 17 -8 42 -4 67 9 92 18 117 8 142 167 192 18 -12 43 -5 68 3 93 14 118 4 143 168 193 19 -18 44 -10 69 -3 94 9 119 -2 144 169 194 20 -19 45 -12 70 -9 95 -5 120 -8 145 170 195 21 4 46 23 71 25 96 19 121 10 146 171 196 22 -3 47 17 72 14 97 13 122 -6 147 172 197 23 -8 48 11 73 5 98 7 123 -5 148 173 198 24 -14 49 9 74 2 99 1 124 -7 149 174 199 25 -19 50 -5 75 -6 100 -5 125 -17 150 175 200
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## Data Entry

-24.5324516129 27.3804516129 15 1.424 -7.2281505376 10.0761505376 -15.8803010753 18.7283010753

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