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- 8. Question content area Part 1 Refer to the table Factors for Computing Control Chart Limits (3 sigma) LOADING... for this problem. Your supervisor, Lisa Lehmann, has asked that you report on the output of a machine on the factory floor. This machine is supposed to be producing optical lenses with a mean weight of 50 grams and a range of 3.5 grams. The following table contains the data for a sample size of n=6 taken during the past 3 hours: Sample 1 2 3 4 5 6 7 8 9 10 x 55 47 49 50 52 57 55 48 51 56 R 3 1 5 3 2 6 3 2 2 3 Part 2 Set the control limits for this process for the x-chart when the machine is working properly. UCL-x = _______? grams (round to two decimal places) LCL-x = ________? grams (round to two decimal places) B) Set the control…A travel agency is concerned with the accuracy and ap-pearance of itineraries prepared for its clients. Defects caninclude errors in times, airlines, flight numbers, prices, carrental information, lodging, charge card numbers, and res-ervation numbers, as well as typographical errors. As thepossible number of errors is nearly infinite, the agency mea-sures the number of errors that do occur. The current processresults in an average of three errors per itinerary.a. What are the two-sigma control limits for these defects?b. A client scheduled a trip to Dallas. Her itinerary containedsix errors. Interpret this informationCompute CL, UCL, and LCL of MR and X Control Charts for the following data. Batch Number Flowrate X Moving Range MR 1 49.6 2 47.6 3 49.9 4 51.3 5 47.8 6 51.2 7 52.6 8 52.4 9 53.6 10 52.1
- Checkout time at a supermarket is monitored using a mean and a range chart. Six samples of n = 20 observations have been obtained and the sample means and ranges computed: Sample Mean Range Sample Mean Range 1 3.06 .42 4 3.13 .46 2 3.15 .50 5 3.06 .46 3 3.11 .41 6 3.09 .45 a. Using the factors in Table 10.3 , determine upper and lower limits for mean and range charts. b. Is the process in control?Checkout time at a supermarket is monitored using a mean and a range chart. Six samples of n = 20 observations have been obtained and the sample means and ranges computed: Sample Mean Range 1 3.06 .42 2 3.15 .50 3 3.11 .41 4 3.13 .46 5 3.06 .46 6 3.09 .45 Using the factors in Table 10.3 , determine upper and lower limits for mean and range charts. Is the process in control?Specifications for a part for a DVD player state that the part should weigh between 24 and 25ounces. The process that produces the parts has a mean of 24.5 ounces and a standard deviation of.2 ounce. The distribution of output is normal.a. What percentage of parts will not meet the weight specs?
- Checkout time at a supermarket is monitored using a mean and a range chart. Six samples of n = 20 observations have been obtained and the sample means and ranges computed:Q4) Ten samples of size four were taken from a process, and their weights measured. The sample averages and sample ranges are in the following table. Construct and plot an x-bar and R-chart using these data. Is the process in control? Sample Mean Range 1 20.01 0.45 2 19.98 0.67 3 20.25 0.30 4 19.90 0.30 5 20.35 0.36 6 19.23 0.49 7 20.01 0.53 8 19.98 0.40 9 20.56 0.95 10 19.97 0.7918. The number of defects found in 25 samples of 100 Malossdientes Candy Company lemon drops taken on a daily basis from a production line over a five- week period is given in the worksheet Prob. 9-18. a. Compute dpmo and find the sigma level. b. Plot these data on a run chart. Can you identify any special causes? C. Explain what the Sigma Level means below:
- Explain how are run charts useful in process control ?Q14. The following table contains the measurements of the key length dimensions from a fuel injector.These samples of size five were taken at one -hour intervals. a. Construct a three-sigma x-chart and R-chart (use Exhibit 6.13) for the length of the fuel injector.what can you say about this process? The picture of Exhibit 6.13 is attached The picture with the sample number and observations also attached. ThanksIn manufacturing, a typical inspection points beforea. Not need at allb. An expensive processc. A repetitive processd. A reversible process