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DynaAero is an aerospace company that assembles a non-metal plate for aircraft use. The thickness of the component was measured during production. The company adheres
DynaAero is an aerospace company that assembles a non-metal plate for aircraft use. The thickness of the component was measured during production. The company adheres to the Original Equipment Manufacturer (OEM) specification where 20 subgroups were inspected and their thicknesses were summarized in Table 3.2. The average thickness and range in each subgroup were calculated based on sampling size of FIVE (5) plates. The Internal Quality Control Leader has been instructed to analyse the thickness data for assessment. Table 3.2: Inspected raw non-metal plate thickness, average and range data for each subgroup \begin{tabular}{|c|c|c|c|c|c|c|c|} \hline \multirow[b]{2}{*}{\begin{tabular}{c} Subgroup \\ No. \end{tabular}} & \multicolumn{7}{|c|}{ Unit: mm} \\ \hline & \begin{tabular}{c} Thickness \\ 1 \end{tabular} & \begin{tabular}{c} Thickness \\ 2 \end{tabular} & \begin{tabular}{c} Thickness \\ 3 \end{tabular} & \begin{tabular}{c} Thickness \\ 4 \end{tabular} & \begin{tabular}{c} Thickness \\ 5 \end{tabular} & Average & Range \\ \hline 1 & & & & & & 23.7 & 0.1 \\ \hline 2 & & & & & & 23.6 & 0.3 \\ \hline 3 & & & & & & 23.5 & 0.6 \\ \hline 4 & & & & & & 23.5 & 0.3 \\ \hline 5 & & & & & & 24.0 & 1.0 \\ \hline 6 & & & & & & 23.6 & 0.2 \\ \hline 7 & & & & & & 23.6 & 1.2 \\ \hline 8 & 24.3 & 23.7 & 23.6 & 23.7 & 24.3 & & \\ \hline 9 & 24.4 & 23.7 & 23.6 & 23.7 & 23.8 & & \\ \hline 10 & 23.7 & 23.6 & 23.7 & 23.5 & 23.6 & & \\ \hline 11 & 24.4 & 23.7 & 23.5 & 23.6 & 23.8 & & \\ \hline 12 & 23.7 & 23.7 & 23.7 & 23.7 & 23.8 & & \\ \hline 13 & & & & & & 23.7 & 0.4 \\ \hline 14 & & & & & & 23.1 & 0.5 \\ \hline 15 & & & & & & 23.4 & 0.3 \\ \hline 16 & & & & & & 23.7 & 0.1 \\ \hline 17 & & & & & & 25.2 & 0.9 \\ \hline 18 & & & & & & 23.6 & 0.4 \\ \hline 19 & & & & & & 23.5 & 0.1 \\ \hline 20 & & & & & & 23.3 & 0.3 \\ \hline \end{tabular} Determine the appropriate type of control chart for the above quality inspection. Then, use these data to establish the control limits for the suggested control chart. Assume that the process includes 99.73% of the associated random variation. Note: All answers need to be calculated up to ONE (1) decimal point only. An additional FIVE (5) subgroup data were collected and inspected as shown in Table 3.3. Table 3.3: Additional FIVE (5) subgroup data Plot these FIVE (5) additional data using the established control limits calculated earlier. Then, analyse the current production performance and suggest any appropriate actions to be taken (if necessary). Justify your
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