With this Cp/Cpk capability Excel template, you can easily assess the performance of your production processes. This template automates the studies and offers many customizable options. Before exploring its features, let’s share few words about the concept and its history (or skip here to the download section of the Cp/Cpk capability Excel free template).
Introduction
The concept of process capability, often abbreviated as Cp, originated in the American automotive industry during the 1970s and has since become essential in statistical process control. It is particularly crucial for assessing the performance and reliability of production processes.
Process capability can be defined as the ability of a machine or process to consistently meet the specifications outlined in the design requirements. In other words, it measures how well a process can produce conforming parts within the defined tolerance range, bound by upper and lower specification limits.
Process capability indices, such as Cp and Cpk, provide quantitative indicators that help organizations identify potential variations and optimize their processes for consistent quality. By controlling capability, businesses can improve operational efficiency and enhance customer satisfaction by delivering products that consistently meet expectations.
This Cp/Cpk Excel Template (Free Download) streamlines the calculation of Cp/Cpk for any metrics or process parameters. By simply entering the measured values and tolerances, the automated formulas quickly calculate the Cp/Cpk values, offering valuable insights into process performance and variability.
Main Features
The template automatically generates:
- Cp/Cpk values and related figures (mean, standard deviation, sample size)
- UCL/LCL values
- 2 visual graphs
- Up to 500 measurements per study
You can save 5 studies in one file:
- Each study have its own Cp/Cpk target
- The “Records” sheet can be used to generate helicopter views
- You can save as, delete, open or create a new study.
Additionnally, the tool:
- Is fully customizable to your field (industry, education, research, …)
- Evaluates Normality using Jaque-Bera method
- Estimates PPM (Defects per Million)
- Creates Heat Map
- Sort or Shuffle the values
- Import values with any data separator
- Generates dummy values within the tolerance interval (use responsibly)
Screenshots
Download link
To download this free Cp/Cpk Excel Template, click on the following link :
To download the PRO version (unlimited number of studies in the same file), click on the following link : PRO Version
License
- This tool is free
- It can be modified by the user
- Cannot be redistributed or sold
Compatibility
- PC Excel 2024 : OK
- PC Excel 2021 : OK
- PC Office 365 : OK
- PC Excel 2019 : OK
- MAC – Excel 2024 : OK
- MAC – Excel 2021: OK
- MAC Office 365 : OK
Additional details
- Language(s): English
- Revision 2
- 1370 Downloads
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Im having trouble, when I save a study and I go to open it back up it only allows the first 2 data points of each subgroup to show? It appears the rest of my data is gone.
love the spreadsheet and the article. but on the spreadsheet. if the data contains 3 digits (i.e. 280 instead of 28), the bell curve doesn’t show.
Hello Steve, Thank you for the feedback, I really appreciate. This have been corrected (version 4.3) and a PRO version + PRO version of the Gantt Chart Maker sent in your mailbox. A new feature was added : generate dummy values within the tolerance interval (use with caution). Thank you again.
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Thank you, I appreciate your feedback. Let me know if you have any question about this new release of the tool and the improvements you would like to see in the future.
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please clarify 12 mm (+0.006/+0.024) is unilataral or bilateral for cp , cpk calculation .
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Thank you, I need a help how to copy the chart and link with my data. And also how I can increase my sample size according to my needs.
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Hi
Thank you.
I want to modify the sheet to my data layout, but when I look at the references in the chart they point to ‘1 – data’ or ‘2 – data’ sheet. I can’t find these sheet. Please help.
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