Rohoon Six Sigma

💡 Examples

📊 AIAG-VDA Standard Reports (NEW! ✨)

⚠️ 重要 - 报告格式稳定性

Figure 12-1/12-2/12-3 PDF 报告遵循特定的标准格式，除非用户明确指示，否则不要修改布局、字体、表格宽度或格式。

当前标准格式：

- 英文版：tmp/YOUR_ORIGINAL_EN.pdf (210,401 bytes) - 中文版：tmp/YOUR_ORIGINAL_v2.pdf (258,583 bytes)

格式基于 AIAG-VDA SPC Manual 标准

如需更改格式，请先询问用户

标准格式参考 PDF：

- 英文：references/AIAG_VDA_Standard_EN_Format.pdf - 中文：references/AIAG_VDA_Standard_ZH_Format.pdf

统一报告生成器 - 严格遵循黄皮书标准格式

# Figure 12-1: 正态分布报告 (中文)
python3 scripts/aiagvda_unified_report.py -o report.pdf -f 12-1 -l zh
Figure 12-1: Normal Distribution Report (English)
python3 scripts/aiagvda_unified_report.py -o report.pdf -f 12-1 -l en
Figure 12-2: 非正态/混合分布报告
python3 scripts/aiagvda_unified_report.py -o report.pdf -f 12-2 -l zh
Figure 12-3: 标准统计表格报告
python3 scripts/aiagvda_unified_report.py -o report.pdf -f 12-3 -l zh

报告特点:

20-22 个编号元素 (严格匹配黄皮书格式)

中英文双语支持

几何法能力指数 (Cp,G / Cpk,G)

95% 置信区间

PPM 计算

专业图表 (直方图、原始值图、概率图、控制图)

📊 Process Capability Analysis

# Two-sided specification
python3 scripts/calculate_capability.py \
  --data "10.1,10.2,10.15,10.18,10.12,10.05,10.22,10.08,10.14,10.19" \
  --usl 10.5 --lsl 9.5 --json
Only upper specification
python3 scripts/calculate_capability.py \
  --data "..." --usl 10.5 --json

📈 Control Charts

# Xbar-R chart (n=5)
python3 scripts/control_chart.py \
  --data "[10.1,10.2,10.15,10.18,10.12, 10.05,10.22,10.08,10.14,10.19]" \
  --chart-type Xbar-R --subgroup-size 5 --json
I-MR chart (individual values)
python3 scripts/control_chart.py \
  --data "10.1,10.2,10.15,10.18,10.12" \
  --chart-type I-MR --json

📏 MSA GR&R Study

# 10 parts × 3 operators × 3 trials = 90 measurements
python3 scripts/msa_grr_analysis.py \
  --data "[10.1,10.15,10.12, ...]" \
  --parts 10 --operators 3 --trials 3 \
  --tolerance 0.5 --json

🧪 DOE Full Factorial

# 2^2 full factorial design
python3 scripts/doe_full_factorial.py \
  --factors 2 \
  --responses "[40,50,45,55]" \
  --analyze
2^3 with center points
python3 scripts/doe_full_factorial.py \
  --factors 3 \
  --responses "[45,52,48,58,46,53,49,59]" \
  --center-points 3 \
  --analyze
Effect calculation and visualization
python3 scripts/doe_factor_effects.py \
  --design "2^3" \
  --responses "[...]" \
  --plot main-effects interaction

🧪 Taguchi S/N Ratios

# S/N ratio calculation
python3 scripts/doe_sn_ratio.py \
  --responses "[45,52,48,...]" \
  --type larger-is-better \
  --json

📊 Response Surface

# Response Surface (CCD / Box-Behnken)
python3 scripts/doe_response_surface.py --help

📊 Excel Report Generation

# Excel report
python3 scripts/excel_report.py --help