An integrated quality assurance framework for UAV component manufacturing: Combining ISO 9001, lean six sigma, and AI-based inspection systems

Abstract

The rapid expansion of the unmanned aerial vehicle (UAV) industry has created unprecedented demands for high-precision component manufacturing with stringent quality requirements comparable to manned aerospace systems. This research addresses the critical challenge of establishing comprehensive quality assurance (QA) frameworks specifically tailored for UAV component production, where traditional manufacturing quality approaches often prove inadequate for the unique combination of lightweight materials, complex geometries, and safety-critical performance requirements. The study proposes an integrated quality assurance framework that synthesizes ISO 9001:2015 process control, Lean manufacturing principles, Six Sigma methodology (DMAIC), Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), and emerging artificial intelligence-based defect detection systems. A case study implementation at a hypothetical UAV manufacturing facility producing carbon fiber frames, motor mounts, propellers, and printed circuit boards demonstrates the framework's effectiveness. Results indicate significant improvements including a 67% reduction in overall defect rate (from 4.8% to 1.6%), 45% decrease in rework costs, improvement in process capability index (Cpk) from 0.89 to 1.45, and Overall Equipment Effectiveness (OEE) enhancement from 72% to 89%. The novelty of this research lies in the systematic integration of traditional quality management standards with Industry 4.0 technologies, specifically adapted for the unique challenges of UAV component manufacturing including composite material processing, miniaturized electronics assembly, and precision machining of lightweight alloys. The findings provide a practical roadmap for manufacturers, particularly in emerging economies, to achieve aerospace-grade quality in UAV production.