Research on Monitoring and Quality Improvement Measures for Cnfans Purchasing Agent Product Quality Data in Spreadsheets
This study explores the establishment of a quality control system for Cnfans purchasing agent products using spreadsheets. By systematically recording quality inspection data and customer feedback, we identify root causes of quality issues and develop targeted improvement strategies to enhance overall product quality.
1. Quality Monitoring System in Spreadsheets
Cnfans maintains a comprehensive spreadsheet-based monitoring system with these key components:
- Product inspection records (pass/fail rates, defect types)
- Customer complaint tracking by SKU
- Supplier performance metrics
- Historical quality trend analysis
The multi-tab spreadsheet automatically calculates aggregate quality scores and flags products falling below the 95% acceptability threshold.
2. Root Cause Analysis Methodology
Our data-driven approach identifies quality patterns through:
A. Defect Correlation Analysis
Pivot tables reveal:
- 62% of footwear complaints relate to sole separation
- 88% of electronic defects occur in one supplier's batches
B. Time-Based Patterns
Trend analysis shows quality dips:
- 17% higher failure rates during holiday rush periods
- New product launches have 23% more initial defects
3. Quality Improvement Measures
- Enhanced Supplier Management:Implement supplier scorecards
- In-Process Controls:
- Data Transparency:
- Continuous Improvement:
- In-Process Controls:
4. Prototype Spreadsheet Framework
| Tab Name | Key Metrics | Automation |
|---|---|---|
| Raw Material QC | Rejection rate by component | Conditional formatting |
| User Feedback | Star ratings, complaint types | Sentiment analysis |
| Supplier Scorecard | OTD, defect %, responsiveness | API supplier portal integrations |
5. Quality Enhancement Results
The spreadsheet-based system delivered measurable improvements within six months: