To monitor the manufacturing process of mobile phones, a quality controller randomly selected 100 mobile phones from the production line, each day over 15 days. The mobile phones were inspected for defectives and the number of defective mobile phones found each day was recorded. The data are given below:
| Subgroup Number | Number of Mobile Phones Inspected | Number of Defective Mobile Phones |
| 1 | 100 | 3 |
| 2 | 100 | 6 |
| 3 | 100 | 4 |
| 4 | 100 | 6 |
| 5 | 100 | 20 |
| 6 | 100 | 2 |
| 7 | 100 | 6 |
| 8 | 100 | 7 |
| 9 | 100 | 3 |
| 10 | 100 | 0 |
| 11 | 100 | 6 |
| 12 | 100 | 15 |
| 13 | 100 | 5 |
| 14 | 100 | 7 |
| 15 | 100 | 6 |
i) Determine the trial centre line and control limits for the fraction defective using the above data.
ii) Contract the control chart on graph paper and determine that the process is stable or not.
If there is any out-of-control point, determine the revised centre line and control limits.
To solve this problem, we need to calculate the trial center line (CL) and control limits for the fraction defective using the given data. ### Step-by-Step Solution: i) Trial Centre Line and Control Limits for the Fraction Defective 1. Calculate the average fraction defective (p-bar): \[ p_{\text{bar}} = \frac{\text{Total number of defectives}}{\text{Total number of units inspected}} \] The total number of units inspected is 100 units each day for 15 days, so the total number of units inspected is: \[ \text{Total units inspected} = 100 \times 15 = 1500 \] Now, sum the number of defective mobile phones for each day: \[ \text{Total defectives} = 3 + 6 + 4 + 6 + 20 + 2 + 6 + 7 + 3 + 0 + 6 + _____ _________ ___ _________ ___ _____ ______ ____.
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To monitor the manufacturing process of mobile phones, a quality controller randomly selected 100 mobile phones from the production line, each day over 15 days. The mobile phones were inspected for defectives and the number of defective mobile phones found each day was recorded. The data are given below:
| Subgroup Number | Number of Mobile Phones Inspected | Number of Defective Mobile Phones |
| 1 | 100 | 3 |
| 2 | 100 | 6 |
| 3 | 100 | 4 |
| 4 | 100 | 6 |
| 5 | 100 | 20 |
| 6 | 100 | 2 |
| 7 | 100 | 6 |
| 8 | 100 | 7 |
| 9 | 100 | 3 |
| 10 | 100 | 0 |
| 11 | 100 | 6 |
| 12 | 100 | 15 |
| 13 | 100 | 5 |
| 14 | 100 | 7 |
| 15 | 100 | 6 |
State whether the following statements are True or False. Give reason in support of your answer.
a) If the average number of defects in an item is 4, the upper control limit of the c-chart will be 12.
b) The specification limits and natural tolerance limits are same in statistical quality control.
c) If the probability of making a decision about acceptance or rejection of a lot on the first sample is 0.80 and the sizes of the first and second samples are 10 and 15, respectively, then the average sample number for the double sampling plan will be 25.
d) Two independent components of a system are connected in series configuration. If the reliabilities of these components are 0.1 and 0.30, respectively then the reliability of the system will be 0.65.
e) A point in the pictorial representation of a decision tree having states of nature as immediate sub-branches is known as decision point.
The failure data of 10 electronic components are shown in the table given below:
| Failure Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||||
| Operating Time (in hours) | 3 | 5 | 31 | 51 | 76 | 116 | 140 | 182 | 250 | 302 | ||||
Solve the two-person zero-sum game having the following payoff matrix for player A:
| Player B | ||||||
| B1 | B2 | B3 | B4 | B5 | ||
| Player A | A1 | 3 | 4 | 5 | –2 | 3 |
| A2 | 1 | 6 | –3 | 3 | 7 | |
The failure density function of a random variable T is given by
Calculate, the
i) reliability of the component.
ii) reliability of the component for a 100 hour mission time.
iii) mean time to failure (MTTF).
iv) median of the random variable T.
v) life of the component, if the reliability of 0.96 is desired
A small electronic device is designed to emit a timing signal of 200 milliseconds (ms) duration. In the production of this device, 10 subgroups of four units are taken at periodic intervals and tested. The results are shown in the following table:
| Subgroup Number | Duration of Automatic Signal (in ms) | |||||||||
| a | b | c | d | |||||||
| 1 | 195 | 201 | 194 | 201 | ||||||
| 2 | 204 | 190 | 199 | 195 | ||||||
| 3 | 195 | 197 | 205 | 201 | ||||||
| 4 | 211 | 198 | 193 | 180 | ||||||
| 5 | 204 | 193 | 197 | 200 | ||||||
| 6 | 200 | 202 | 195 | 200 | ||||||
| 7 | 196 | 198 | 197 | 196 | ||||||
| 8 | 201 | 197 | 206 | 207 | ||||||
| 9 | 200 | 202 | 204 | 192 | ||||||
| 10 | 203 | 201 | 209 | 192 | ||||||
A shirt manufacturing company supplies shirts in lots of size 250 to the buyer. A single
sampling plan with n = 20 and c = 1 is being used for the lot inspection. The company and the buyer decide that AQL = 0.04 and LTPD = 0.10. If there are 15 defective in each lot,
compute the
i) probability of accepting the lot.
ii) producer’s risk and consumer’s risk.
iii) average outgoing quality (AOQ), if the rejected lots are screened and all defective shirts are replaced by non-defectives.
iv) average total inspection (ATI).