Receber por email
← Voltar para o catálogo

control-chart-analyzer

Habilidade de criação e análise de gráficos de controle estatístico de processo, com cálculo de limites de controle e detecção de causas especiais.

1.4kestrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add a5c-ai/babysitter

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/control-chart-analyzer/svg)](https://www.skillteca.com.br/skills/control-chart-analyzer)

Skills relacionadas

Ver todas de Automação →

Alerta por categoria

Receba novas skills de Automação toda segunda

1 email curto, só com as skills novas de Automação. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

Control Chart Analyzer

Overview

The Control Chart Analyzer skill provides comprehensive capabilities for creating and analyzing statistical process control charts. It supports multiple chart types, control limit calculation, and automated detection of special cause variation using industry-standard rules.

Capabilities

  • X-bar and R chart creation
  • Individual and Moving Range (I-MR) charts
  • p-chart and np-chart generation
  • c-chart and u-chart analysis
  • Control limit calculation
  • Nelson rules application
  • Western Electric rules detection
  • Out-of-control signal alerting

Used By Processes

  • SIX-002: Statistical Process Control Implementation
  • SIX-003: Process Capability Analysis
  • QMS-003: Quality Audit Management

Tools and Libraries

  • Minitab API
  • JMP
  • Python scipy/statsmodels
  • R quality packages

Usage

skill: control-chart-analyzer
inputs:
  data_type: "continuous"  # continuous | attribute
  chart_type: "xbar_r"  # xbar_r | xbar_s | imr | p | np | c | u
  subgroup_size: 5
  data:
    - subgroup: [10.2, 10.1, 10.3, 10.0, 10.2]
    - subgroup: [10.4, 10.3, 10.2, 10.5, 10.3]
  specification_limits:
    usl: 10.8
    lsl: 9.2
    target: 10.0
outputs:
  - control_chart
  - control_limits
  - out_of_control_signals
  - rule_violations
  - recommendations

Chart Selection Guide

| Data Type | Subgroup Size | Recommended Chart | |-----------|---------------|-------------------| | Continuous | 1 | I-MR | | Continuous | 2-10 | X-bar & R | | Continuous | >10 | X-bar & S | | Attribute (defectives) | Variable | p-chart | | Attribute (defectives) | Constant | np-chart | | Attribute (defects) | Variable area | u-chart | | Attribute (defects) | Constant area | c-chart |

Western Electric Rules

  1. One point beyond 3 sigma
  2. Two of three consecutive points beyond 2 sigma (same side)
  3. Four of five consecutive points beyond 1 sigma (same side)
  4. Eight consecutive points on one side of center line

Nelson Rules

  1. One point beyond Zone A (3 sigma)
  2. Nine points in a row on same side of center line
  3. Six points in a row, all increasing or decreasing
  4. Fourteen points in a row, alternating up and down
  5. Two of three points in Zone A or beyond (same side)
  6. Four of five points in Zone B or beyond (same side)
  7. Fifteen points in a row in Zone C
  8. Eight points in a row on both sides with none in Zone C

Integration Points

  • Manufacturing Execution Systems
  • Quality Management Systems
  • Real-time data platforms
  • Alerting systems
Compartilhar X LinkedIn