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3 cases that arise regarding relationship between the process capability limits (or natural tolerance limits
and the specification limits.
Step by step
Solved in 2 steps
- Q4. Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart for control. The samples and the number of defectives in each are shown in the following table. a. Develop a p chart for 95% confidence (1.96 standard deviation) b. Based on the plotted data points,what comments can you makeQ14. 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. ThanksCheckout 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?a. Which of the following items are within tolerance?b. What is the percent accuracy by item?Inspections on 15 painted sheet metal plates were conducted in the painting line. The types ofdefect were classified as blister, light spray, drips, overspray, splatter and runs. The defectsfound on each plate are summarized in Table 2.1. i. Suggest an appropriate control chart and calculate the upper and lower control limits forthe above process. Plot and label the control limits. ii. Plot the defects and evaluate the current performance of the painting process. Suggestany necessary action to be taken.
- why does the control the experiement not fall within the expected ranges of controls (quality control)?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 0.79Computer upgrade times (in minutes) are being evaluated. Samples of five observations each have been taken, and the results are as listed. Using factors from Table 10.3, determine upper and lower control limits for mean and range charts, and decide if the process is in control. SAMPLE 1 2 3 4 5 6 79.2 80.5 79.6 78.9 80.5 79.7 78.8 78.7 79.6 79.4 79.6 80.6 80.0 81.0 80.4 79.7 80.4 80.5 78.4 80.4 80.3 79.4 80.8 80.0 81.0 80.1 80.8 80.6 78.8 81.1
- subject: Software Process and Management Book : Software Process Definition and Management [J€urgen M€unch • Ove Armbrust • Martin Kowalczyk • Mart ́ın Soto] Question : Explain the CMMI and capability levels, Which process areas must be considered for a CMMI maturity level 2 appraisal?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?design specifications that a key dimension on a product measure 101+16 units. A process being considered for producing this product has a standard diviation of five units. a. process capability index b. suppose the process average shifts to 96. calculate the new process capability index c. what is the probabiliy of defective output after the shift