A control chart is to be established on a process producing refrigerators. The inspection unit is one refrigerator, and a common chart for nonconformities is to be used. As preliminary data, 16 nonconformities were counted in inspecting 30 refrigerators.
(a) What are the three-sigma control limits?
(b) What is the α-risk for this control chart?
(c) What is the β-risk if the average number of defects is actually
2 (i.e., if c = 2.0)? (d) Find the average run length if the
average number of defects is actually 2.
A control chart is to be established on a process producing refrigerators. The inspection unit is...
The results of inspection of DNA samples taken over the past 10 days are given below. Sample size is 100. 10 Day Defectives 2 3 4 6 6 0 6 a) The upper and lower 3-sigma control chart limits are: UCLp(enter your response as a number between 0 and 1, rounded to three decimal places). LCL(enter your response as a number between 0 and 1, rounded to three decimal places). b) Given the limits in part a, is the process...
(0) Des the prcess producing the cookies appear to be in control? What ctions would you ssk based on the inspection results 4 (10 points) The quality of a cookie production job has been examined, and the results are shown below. The same definition of defect used in Problem 3 is also used here. Cookie No 1O 9918 27918 92799 0 Size (in) Number of defects 0 0 2 (a) Using an appropriate control chart, to construct the control limits...
A 3-sigma control chart is established and the following two rules are used together to detect process outof-control situations. Rule 1: A point is plotted outside of the control limits. Rule 2: A run of eight consecutive points on one side of the center line but still inside the control limits. Compute the following: (a) Type I error of Rule 1 (b) Type I error of Rule 2 (c) Type 1 error of using both rules together
QUESTION 10 Calculate the average Run Length of a Control chart with a stop signal of one point out of the 2.7 sigma limits on either side of the charts
Calculate the average run length (ARL) of a control chart with a stop signal of one point out of the 2.5 sigma limits on either side of the charts. PLEASE SHOW WORK!! DONT UNDERSTAND ARL!!
(b) Does the process producing the cookies appear to be in control? What actions would you take based on the inspection results? 10 points) The quality of a cookie production job has been examined, and the results are shown below. The same definition of defec 4. ( t used in Problem 3 is also used here. Cookie No 4 10 Size (in) 9 18 27 9 18 9 27 9 Number of defects1 0 3 5 02 4 (a) Using...
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Attribute Control Charts Q1. The results of an inspection of DNA samples taken over the past 10 days are given below. Sample size is 100. Day 1 2 3 4 5 6 7 8 9 Defectives 7 6 6 9 5 6 0 8 9 10 1 a) Construct a 3-sigma p-chart using this information. What are the 3 sigma control limits? b) Using the control chart in part (a), and finding that the...
1) Triangle Packaging Machinery wants to test the quality of its cereal bag filling machines. The firm’s quality analyst took 35 samples of size 7 each from a cereal-bag-filling machine. The results were overall mean = 57.75 pounds; average range = 1.78 pounds. a) Determine the upper and lower control limits of the x-chart, where sigma = 3 b) Determine the upper and lower control limits of the R-chart, where sigma = 3 2) The results of an inspection of...
A control chart is used for monitoring a process mean ( 7 ) that is normally distributed with a mean of u and a standard deviation of o, and the sample size is n = 5. A 3-sigma limit (u +30z) is used as control limits. Two decision rules are given here. Rule 1: If one or more of the next seven samples yield values of the sample average that fall outside the control limits, conclude that the process is...
A control chart is used for monitoring a process meanl (X) that is normally distributed with a mean of μ and a standard deviation of σχ , and the sample size is n-5. А 3-sigma limit (μ ±30% ) is used as control limits. Two decision rules are given here. Rule 1: If one or more of the next seven samples yield values of the sample average that fall outside the control limits, conclude that the process is out of...