216 875305785.07 30445475495511 c. Ten more observations were taken, as shown in the table below. Using the revised and R charts from part (b), comment on what the chart shows after extending it with the new data. 314 925 54500542 324655 146.264.71 335.785 508.054.79 345 953 834 30444 356924.504.756.5 365685.746.651.66 374 785.795 204.70 384.434.815.24 30.04.15.41 40465.185.484.72 d. State your conclusions e, State your recommendations for improvements. PART 2 - Quality Printing The fraction defective for a folding process in a Quality Printing plant is given in the data below for 25 samples. Fifty units are inspected each shift a. Construct a p-chart and interpret the results. b. After the process was determined to be under control, process monitoring began, using the established control limits. The results of 25 more samples are shown in the second part of the worksheet. Is there a problem with the process? If so, when should the process have been stopped, and steps taken to correct it? Data 00 a) Original data Monitoring data Sample Fraction Detectivember Defective Sample Fraction Detectivember Detective + 2 26 008 2 000 27 0.10 3 0.12 0.00 4 0.02 300.00 5 a 0.10 0.10 5 0.04 2 0.54 33 0.02 10 350.00 11 012 0.00 12 002 37 0.10 5 13 14 0.06 390.00 15 0.10 0,10 16 0.00 0.12 17 0.06 10 0.02 004 19 0.00 4 20 0.06 0:00 3 21 0.10 46 0.10 22 0.04 012 0.02 0.08 0.00 004 PRAX 369 Project PART 1 - Fujiyama Electronics, Inc. Problem Statement Fujiyama Electronics, Inc. has been having difficulties with circuit boards purchased from an outside supplier. Unacceptable variability occurs between two drilled holes that are supposed to be 5 em apart on the circuit boards. Thirty samples of 4 boards each were taken from shipments from the supplier as shown in the data listed below a. Construct and R charts for these data. b. If the supplier's plant quality manager admitted that they were experiencing quality problems for shipments 18, 19, and 21, how would that affect your control chart? Show this adjustment on revised i and R charts for these data. Data 14924.254.944 29 24655.545.005.42 35.775 254764.79 46.254569444 55275.416.02491 85.225.385 084 85 75.474 884 564.70 85 714.544 17487 95245.584.725 41 104.425.184.794.73 115.544 264.715.48 124925.785 50505 135.793.83430478 144924804755.59 156 685.744.655.20 165.434.815274.95 174795.044.475.18 184 435.083.096.43 196-355.956 295.89 20600466524 216 328.095.57590 224 305 47427434 238074.975 51502 245.114 905 914 66 254 SOS 244 85435 264914 795.745.00 27465475481532 264 705 506 04430 246.87530578507 304414754.956. 11 below c. Ten more observations were taken, as shown in the table Using the revised i and R charts from part (b), comment on what the chart shows after extending it with the new data. 314.925 545.005.42 326655.144 264.71 336 785 505054.79 345 963 834 30444 354 924 804.755.59 365 685.744.65465 374 755.795 20470 216 875305785.07 30445475495511 c. Ten more observations were taken, as shown in the table below. Using the revised and R charts from part (b), comment on what the chart shows after extending it with the new data. 314 925 54500542 324655 146.264.71 335.785 508.054.79 345 953 834 30444 356924.504.756.5 365685.746.651.66 374 785.795 204.70 384.434.815.24 30.04.15.41 40465.185.484.72 d. State your conclusions e, State your recommendations for improvements. PART 2 - Quality Printing The fraction defective for a folding process in a Quality Printing plant is given in the data below for 25 samples. Fifty units are inspected each shift a. Construct a p-chart and interpret the results. b. After the process was determined to be under control, process monitoring began, using the established control limits. The results of 25 more samples are shown in the second part of the worksheet. Is there a problem with the process? If so, when should the process have been stopped, and steps taken to correct it? Data 00 a) Original data Monitoring data Sample Fraction Detectivember Defective Sample Fraction Detectivember Detective + 2 26 008 2 000 27 0.10 3 0.12 0.00 4 0.02 300.00 5 a 0.10 0.10 5 0.04 2 0.54 33 0.02 10 350.00 11 012 0.00 12 002 37 0.10 5 13 14 0.06 390.00 15 0.10 0,10 16 0.00 0.12 17 0.06 10 0.02 004 19 0.00 4 20 0.06 0:00 3 21 0.10 46 0.10 22 0.04 012 0.02 0.08 0.00 004 PRAX 369 Project PART 1 - Fujiyama Electronics, Inc. Problem Statement Fujiyama Electronics, Inc. has been having difficulties with circuit boards purchased from an outside supplier. Unacceptable variability occurs between two drilled holes that are supposed to be 5 em apart on the circuit boards. Thirty samples of 4 boards each were taken from shipments from the supplier as shown in the data listed below a. Construct and R charts for these data. b. If the supplier's plant quality manager admitted that they were experiencing quality problems for shipments 18, 19, and 21, how would that affect your control chart? Show this adjustment on revised i and R charts for these data. Data 14924.254.944 29 24655.545.005.42 35.775 254764.79 46.254569444 55275.416.02491 85.225.385 084 85 75.474 884 564.70 85 714.544 17487 95245.584.725 41 104.425.184.794.73 115.544 264.715.48 124925.785 50505 135.793.83430478 144924804755.59 156 685.744.655.20 165.434.815274.95 174795.044.475.18 184 435.083.096.43 196-355.956 295.89 20600466524 216 328.095.57590 224 305 47427434 238074.975 51502 245.114 905 914 66 254 SOS 244 85435 264914 795.745.00 27465475481532 264 705 506 04430 246.87530578507 304414754.956. 11 below c. Ten more observations were taken, as shown in the table Using the revised i and R charts from part (b), comment on what the chart shows after extending it with the new data. 314.925 545.005.42 326655.144 264.71 336 785 505054.79 345 963 834 30444 354 924 804.755.59 365 685.744.65465 374 755.795 20470