9 added 13 characters in body
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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

Histogram for Random Data Histogram using Original Data

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

Histogram for Random Data Histogram using Original Data

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

Histogram for Random Data Histogram using Original Data

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
source | link

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

Histogram for Random Data Histogram using Original Data

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

Histogram for Random Data Histogram using Original Data

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

Histogram for Random Data Histogram using Original Data

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
source | link

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

Histogram for Random Data Histogram using Original Data

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

Histogram for Random Data Histogram using Original Data

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

Histogram for Random Data Histogram using Original Data

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.

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5 added 187 characters in body
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4 Add sigma, cp cpl, cpu etc
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