Monthly Electronic Equipment Quality Control Defect Analysis Report

Track and analyze defect rates, quality metrics, and failure patterns across electronic equipment and parts manufacturing processes to improve product quality, reduce waste, and maintain high production standards.

Report Objective

Monitor and analyze defect trends, failure modes, and quality control metrics across electronic equipment manufacturing processes. Identify areas for process improvement, evaluate effectiveness of quality control measures, and track progress toward quality targets.

First Pass Yield Analysis

Line chart tracking first pass yield rates and defect counts

Questions to Consider:

2025-02-012025-03-012025-04-01date91.0%92.0%93.0%94.0%first_pass_yieldfirst_pass_yieldHow is First Pass Yield Trending Over Time?First pass yield shows overall stability with slight variations throughout the month
  • What is the overall trend in first pass yield?

  • Are there any concerning dips in yield rates?

  • How does current performance compare to quality targets?

  • Is there a correlation between production volume and defect counts?

  • Are defects proportional to production volume?

  • What production volume shows optimal quality performance?

1,3001,4001,5001,6001,700production_volume404550defect_countDaily Production Volume vs Defect Count CorrelationAnalysis of relationship between production volume and defect occurrences

Critical Defect Categories

Bar chart showing defect distribution by category and severity

Questions to Consider:

Solder JointComponent FailurePCB DefectAssembly Errordefect_category02004006008001,0001,200sum(defect_count)CriticalMajorMinorDistribution of Defects by CategoryAnalysis of most common defect types and their frequency
  • Which defect categories are most frequent?

  • How are critical defects distributed across categories?

  • Which areas require immediate attention?

  • Which inspection methods are most effective?

  • Are there inspection points that need improvement?

  • How do detection rates compare across methods?

Visual InspectionAOIICTX-Rayinspection_point0.0%500.0%1000.0%1500.0%2000.0%sum(detection_rate)sum(detection_rate)Quality Control Effectiveness by Inspection PointComparison of detection rates across different inspection methods

Quality Control Effectiveness

Statistical analysis of inspection results and escape rates

Questions to Consider:

Visual InspectionAOIICTX-Rayinspection_point0.0%100.0%200.0%300.0%400.0%sum(escape_rate)sum(escape_rate)Defect Escape Rates by Inspection PointAnalysis of defects missed at each inspection stage
  • Which inspection points have the highest escape rates?

  • Are there systematic gaps in detection?

  • What improvements can be made to reduce escape rates?