Control
Control Chart Builder
Build chart-specific SPC analyses with frozen baselines and documented special-cause signals.
Analyze · Interactive CI tool
Process Capability compares measured process variation with explicit specification limits, using indices and distribution diagnostics under stated assumptions.
Read freely. Creating a worksheet requires a verified free beta account. No payment or manual beta approval.
Use it after reviewing measurement quality, process stability, sampling and the suitability of a distribution model.
It helps a team assess how a supported process model relates to an agreed requirement, beyond looking only at an average.
Use a Control Chart first if stability is uncertain. Use CTQC to agree the requirement instead of inventing specification limits from the observed data.
Fictional example snapshot
A fictional stable process is assessed under a supported normal model.
| Specifications / estimates | LSL 9.5 mm, USL 10.5 mm; mean 10.1 mm, within SD 0.1 mm |
|---|---|
| Illustrative Cp | (10.5 − 9.5) / (6 × 0.1) = 1.67 |
| Illustrative Cpk | min((10.5 − 10.1)/0.3, (10.1 − 9.5)/0.3) = 1.33 |
These figures illustrate the method; they are not clinical instructions, universal targets or verified results from a real organization.
Read the complete worked example and its interpretationThe full guide includes prerequisites, interface-specific steps, two fictional examples, common mistakes and interpretation help. It is available without registration.
Process Capability Analysis: guide & examplesOpen Process Capability AnalysisControl
Build chart-specific SPC analyses with frozen baselines and documented special-cause signals.
Define
Turn customer needs into clear, measurable requirements and operational definitions.
Measure
Carry CTQC definitions into practical collection methods, sampling plans and ownership.