Spc
CommunityMaster SPC: chart, analyze, and optimize.
Authorrobdtaylor
Version1.0.0
Installs0
System Documentation
What problem does it solve?
SPC provides a structured approach to monitoring, understanding, and improving processes by distinguishing common from special causes of variation and by quantifying capability.
Core Features & Use Cases
- Chart selection guidance: Choose appropriate X-bar/R or I-MR charts for given data structure.
- Capability analysis: Compute Cp, Cpk, Pp, Ppk and interpret results against automotive and general standards.
- Out-of-control rules: Apply Western Electric and Nelson rules to detect signals and drive action.
- Templates & references: Includes practical templates for capability studies and reference guides for chart selection, indices, and rules.
- Use cases: For a machining line with multiple cavities, you can set up X-bar/R charts and assess the capability to meet tolerances, triggering reaction plans when signals appear.
Quick Start
Use the SPC skill to assess a newly collected data batch by selecting X-bar/R charts, calculating R̄, X̄, and control limits, and interpreting Cpk and Ppk values with the provided templates.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Spc Download link: https://github.com/robdtaylor/personal-ai-infrastructure/archive/main.zip#spc Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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