9 added 13 characters in body edited Jun 30 '15 at 21:45 706Astor 99266 silver badges1818 bronze badges The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = \frac{(USL - LSL)}{6\sigma}$$ $$C_{pu} = \frac{USL-\mu}{3*\sigma}$$ $$C_{pl} = \frac{\mu-LSL}{3*\sigma}$$ $$C_{pk} = min(C_{pu},C_{pl})$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side.   Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = \frac{(USL - LSL)}{6\sigma}$$ $$C_{pu} = \frac{USL-\mu}{3*\sigma}$$ $$C_{pl} = \frac{\mu-LSL}{3*\sigma}$$ $$C_{pk} = min(C_{pu},C_{pl})$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side. Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = \frac{(USL - LSL)}{6\sigma}$$ $$C_{pu} = \frac{USL-\mu}{3*\sigma}$$ $$C_{pl} = \frac{\mu-LSL}{3*\sigma}$$ $$C_{pk} = min(C_{pu},C_{pl})$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side.   Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. 8 added 56 characters in body edited Mar 24 '15 at 22:31 706Astor 99266 silver badges1818 bronze badges The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = \frac{(USL - LSL)}{6\sigma}$$ $$C_{pu} = \frac{USL-\mu}{3*\sigma}$$ $$C_{pl} = \frac{\mu-LSL}{3*\sigma}$$ $$C_{pk} = min(C_{pu},C_{pl})$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side. Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = \frac{(USL - LSL)}{6\sigma}$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side. Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = \frac{(USL - LSL)}{6\sigma}$$ $$C_{pu} = \frac{USL-\mu}{3*\sigma}$$ $$C_{pl} = \frac{\mu-LSL}{3*\sigma}$$ $$C_{pk} = min(C_{pu},C_{pl})$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side. Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. 7 added 56 characters in body edited Mar 24 '15 at 22:25 706Astor 99266 silver badges1818 bronze badges The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = (USL - LSL)/6\sigma$$$$C_{p} = \frac{(USL - LSL)}{6\sigma}$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side. Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = (USL - LSL)/6\sigma$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side. Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. The average and standard deviation from the above sample set are: Average ($$\mu$$): 4.754V Standard Deviation ($$\sigma$$): 0.142368 Mean: 4.74 USL: 5.5 LSL: 4.5 C$$_{p}$$ : 1.1706 C$$_{pl}$$: 0.5947 C$$_{pu}$$: 1.7466 C$$_{pk}$$: 0.5947 Equations $$\text{Pr}(\mu - \sigma \leq x \leq \mu + \sigma) \approx 0.6827$$ $$\text{Pr}(\mu - 2\sigma \leq x \leq \mu + 2\sigma) \approx 0.9545$$ $$\text{Pr}(\mu - 3\sigma \leq x \leq \mu + 3\sigma) \approx 0.9973$$ $$C_{p} = \frac{(USL - LSL)}{6\sigma}$$ Based on the above data, it appears that the process is between 1 sigma and 2 sigma capable. Approximately about 10% of the product could fall outside of the requirements. Also a sample set of 30 is considered a generally acceptable sample size. The sample set in this problem is 15 which is on the low side. Suggestions: Check with the vendor if they sorted the sample parts The power supply is not delivering the required 1A of current at full load The current carrying conductor might not be capable to delivering the current at full load The power supply might have some minor design issues too Also check the test system too The distribution appears to be a normal bell curve. A supplier Quality engineering might be able help address this issue. 6 added 56 characters in body edited Mar 24 '15 at 22:19 706Astor 99266 silver badges1818 bronze badges 5 added 187 characters in body edited Mar 19 '15 at 22:49 HDE 226868 2,2851212 silver badges3131 bronze badges 4 Add sigma, cp cpl, cpu etc edited Mar 19 '15 at 22:47 706Astor 99266 silver badges1818 bronze badges 3 Add sigma edited Mar 19 '15 at 22:41 706Astor 99266 silver badges1818 bronze badges 2 added 140 characters in body edited Feb 23 '15 at 23:24 706Astor 99266 silver badges1818 bronze badges 1 answered Feb 9 '15 at 23:18 706Astor 99266 silver badges1818 bronze badges