An integrated quality assurance framework for UAV component manufacturing: combining ISO 9001, lean Six Sigma, and AI-based inspection systems

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DOI:

https://doi.org/10.56143/3030-3893-2026-2-115-118

Keywords:

quality assurance, unmanned aerial vehicles, Six Sigma, SPC, FMEA, lean manufacturing, AI defect detection

Abstract

Growing demand for precision UAV components has exposed critical gaps in existing manufacturing quality systems. This paper presents a holistic quality assurance framework that unifies ISO 9001:2015, Lean principles, Six Sigma (DMAIC), SPC, FMEA, and AI-driven defect detection within a single operational model for UAV component production. Validation through a structured case study yielded measurable gains: defect rate declined by 67% (4.8% to 1.6%), rework expenditure dropped by 45%, process capability index rose from 0.89 to 1.45, and OEE climbed from 72% to 89%. These outcomes establish a replicable, evidence-based pathway for attaining aerospace-grade quality standards in UAV manufacturing environments.

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Published

2026-06-29

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How to Cite

An integrated quality assurance framework for UAV component manufacturing: combining ISO 9001, lean Six Sigma, and AI-based inspection systems. (2026). Международный научный журнал «Инженер», 4(2), 115-118. https://doi.org/10.56143/3030-3893-2026-2-115-118

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