🤔SPC Interview Questions and Answers | Statistical Process Control | Part - 1🔥

🤔SPC Interview Questions and Answers | Statistical Process Control | Part - 1🔥
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[@surenderchauhan6237]

how to calculate Cp and Cpk for Dimension Flatness 0.1 max

[@AJAYKUMAR-j3d7n]

Why we consider always lower value of cp is Cpk?? How we interpret the cpk/cp value i.e. 1.33 or 1.67??

[@QualityHUBIndia]

In statistical process control, Cp and Cpk are indices used to assess the capability of a process to produce products within specified tolerances. Cp represents the capability of the process, while Cpk accounts for the process centering. Cp: It is calculated as the ratio of the specification width to the process width. Cp = (USL - LSL) / (6 * standard deviation). A higher Cp indicates a wider process spread. Cpk: It considers both process capability and centering. Cpk takes into account the difference between the process mean and the target value, in addition to the process spread. Cpk = minimum [(USL - mean) / (3 * standard deviation), (mean - LSL) / (3 * standard deviation)]. A higher Cpk indicates better capability and better centering. Interpretation: A Cp or Cpk value of 1.0 indicates that the process spread is equal to the specification width. A Cp or Cpk value greater than 1.0 implies that the process spread is less than the specification width, which is desirable for process capability. A Cpk value less than 1.0 indicates that the process may not be capable of meeting specifications. Common benchmarks: Cp and Cpk of 1.33: Considered a minimum acceptable level for many industries. Cp and Cpk of 1.67: Represents a good level of process capability. In summary, Cp and Cpk values help assess how well a process meets specifications. Higher values are generally better, and a Cpk value closer to 1.0 suggests the process is well-centered within the specifications.

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