Free training deck
Updated · About 45 minutes
SPC and Cpk training presentation
Statistical process control (SPC) is the use of control charts and capability indices to watch a process, tell normal variation from a real change, and judge whether the process can hold the specification. This free deck teaches it to operators, technicians and engineers in about 45 minutes. Its 19 editable slides cover common and special cause variation, which chart to use, how to build an X-bar and R chart, the control chart constants, one worked example of the limits, how to read the signals, control limits against specification limits, Cp and Cpk with the same example worked through, what a Cpk value means, the common mistakes, a 15-minute chart-building activity and four check questions with answers. Every slide has speaker notes.
Free to use: print it, copy it and edit it for your team. Enter your name and work email once to download.
The title SPC and Cpk, reading a control chart, on a navy background with the LeanSuite logo.A look inside
What is in the 19 slides
For operators, technicians, quality technicians, process and quality engineers, supervisors. Widescreen, in plain language, with speaker notes on every slide.
Slide 5: Which control chart to use 
Slide 9: Example: working out the limits 
Slide 16: Try it: build a chart from your own data
- 1SPC and Cpk: reading a control chartCover
- 2AgendaVariation, and what SPC is for · Choosing a chart and building an X-bar and R chart · Reading the signals · Control limits, specifications, Cp and Cpk · Mistakes, activity and check questions
- 3What SPC is forSPC uses data from the process itself to tell a real change from normal wobble.
- 4Common cause and special cause variationThe whole method rests on this split.
- 5Which control chart to useX-bar and R, X-bar and s, Individuals and moving range, p chart, np chart, c and u charts
- 6Building an X-bar and R chartPick a characteristic that matters, one that is measured with a gauge you trust.
- 7The limit formulasConstants come from a table and depend only on the subgroup size, n.
- 8Control chart constantsStandard values for X-bar and R charts. Check them against your own reference table.
- 9Example: working out the limitsAn illustrative example: a bore diameter, subgroups of 5, 25 subgroups. Your numbers will differ.
- 10Reading the signalsCheck the range chart first, then the averages.
- 11Control limits are not specification limitsThey answer different questions and come from different places.
- 12Capability: Cp and CpkCapability asks whether a stable process fits inside the specification.
- 13Example: Cp and Cpk worked outSame illustrative bore: specification 10.00 plus or minus 0.15 mm, so LSL 9.85 and USL 10.15.
- 14What a Cpk value tells youCpk of 1.00 means the nearer spec limit is 3 sigma from the average.
- 15Common mistakesCalculating Cpk on a process that is out of control.
- 16Try it: build a chart from your own dataA 15-minute team activity
- 17Check your understanding4 check questions
- 18AnswersThe answers, to discuss
- 19Key points and next stepsNext: build one chart for one characteristic in your own area.
The 45-minute session, slide by slide
- Slides, about: 30 minutes
- Activity (slide 16): 15 minutes
Present · 15 slides
- 1SPC and Cpk: reading a control chart
- 2Agenda
- 3What SPC is for
- 4Common cause and special cause variation
- 5Which control chart to use
- 6Building an X-bar and R chart
- 7The limit formulas
- 8Control chart constants
- 9Example: working out the limits
- 10Reading the signals
- 11Control limits are not specification limits
- 12Capability: Cp and Cpk
- 13Example: Cp and Cpk worked out
- 14What a Cpk value tells you
- 15Common mistakes
Do the activity · 1 slide
- 16Try it: build a chart from your own data
Check and follow up · 3 slides
- 17Check your understanding
- 18Answers
- 19Key points and next steps
About 30 minutes of slides and 15 minutes of activity. Present: slides 1 to 15 (SPC and Cpk: reading a control chart; Agenda; What SPC is for; Common cause and special cause variation; Which control chart to use; Building an X-bar and R chart; The limit formulas; Control chart constants; Example: working out the limits; Reading the signals; Control limits are not specification limits; Capability: Cp and Cpk; Example: Cp and Cpk worked out; What a Cpk value tells you; Common mistakes). Do the activity: slide 16 (Try it: build a chart from your own data). Check and follow up: slides 17 to 19 (Check your understanding; Answers; Key points and next steps).
How to run it
Running the session
- 1
Prepare
Read the speaker notes once and swap the illustrative example for one from your own area if you have it. Print the PDF if people like a handout.
- 2
Present
The slides take about 30 minutes. Every slide has notes, so you can talk from them rather than read the slide.
- 3
Do the activity
Pull 20 or more subgroups of 5 readings for one characteristic from your own records, or measure them. The activity slide takes the team through it step by step; allow 15 minutes.
- 4
Check and follow up
Ask the check questions before showing the answers, then agree one next step with an owner and a date before people leave.
The check questions
- 1. What is the difference between common cause and special cause variation?
- Common cause is built into the process and shows up inside the control limits. Special cause is a specific change that shows up as a signal on the chart.
- 2. Why are control limits not the same as specification limits?
- Control limits are calculated from the process's own data and describe how it behaves. Specification limits come from the customer or design and describe what is needed.
- 3. A process has Cp of 1.50 and Cpk of 0.90. What does that tell you?
- The spread would fit the specification but the process is badly off center. Centering it is the first thing to try.
- 4. Which should you read first on an X-bar and R chart?
- The range chart. If the spread is not stable, the averages cannot be trusted.
Templates and guides to go with it
- X-bar and R control chart template25 subgroups with means and ranges, control limits from A2, D3 and D4, signal flags, both charts and a reaction log.
- Process capability (Cpk) study sheet25 subgroups of readings with Cp, Cpk, Pp and Ppk worked out, control limits to check stability, and a histogram.
- Attribute control chart template (p, np, c and u charts)p, np, c and u charts in one workbook: a chart selector, a sample size check, limits for each subgroup, signal flags and four worked examples.
- Topic: Quality managementEvery guide we have on the subject, sorted.
Read more
After the session
Put it on the wall
Free printable poster on the same subject, so the team sees it every day: a PNG to download now, and print-ready PDFs from Letter to 24 x 36 in.
FAQ
SPC and Cpk training presentation: common questions
Statistical process control. It uses control charts and statistics on data from the process to tell normal variation from real change, so people act when they should and leave the process alone when they should.
About 45 minutes: roughly 30 minutes of slides, a 15-minute chart-building activity and the check questions.
Cp compares the width of the specification with the width of the process spread and ignores centering. Cpk also looks at how close the process average is to the nearer specification limit, so it is never larger than Cp.
The method follows the AIAG Statistical Process Control reference manual, second edition, and the control chart constants are the standard published values. Your customer's requirements and your control plan set the sample sizes and acceptance values, and they take priority.
Yes. The PowerPoint file is fully editable, including the speaker notes. Many teams replace the illustrative bore example with a characteristic from their own plant.
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