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NDTAerospace

Aerospace

Everyone is in Quality in Aerospace and Defense

Why the future of aerospace manufacturing depends on embedding quality across the entire digital thread.

By Francois Gau
Close-up of a turbine rotor and compressor assembly used in an aircraft engine.
Source: AdobeStock
June 17, 2026

For more than 25 years, I’ve worked across the aerospace and defense sector—from my early years in Toulouse, France, the home of Airbus, to Honeywell Aerospace in France and the United States, and later with manufacturers supporting demanding OEM and defense programs.

Over that time, I have witnessed aerospace manufacturing evolve through several major transformations.

A couple of decades ago, I participated in investigations involving aging aircraft wiring systems. That was a humbling experience. I realized that the industry has a far bigger impact on society than I thought from my small window.

Regulatory oversight and industry willingness to learn from those unfortunate incidents, find the root cause(s), and prevent it from happening again reshaped how the industry approached the design, manufacturing, inspection, traceability, and repair of aircraft, assemblies, and parts.

They also reinforced a lesson that the aerospace industry continues to relearn: Quality cannot simply be inspected into a product at the end of the process.

Today, aerospace manufacturing is entering another turning point. Digital manufacturing, model-based definition (MBD), AI-assisted inspection, supply chain instability, workforce shortages, and increasingly demanding compliance requirements are forcing the industry to rethink how quality is managed.

The companies that succeed over the next decade will not be the ones with the biggest inspection departments. They will be the organizations that make quality everyone’s responsibility.

That is why I believe the future of aerospace manufacturing can be summarized in one sentence:

“Everyone is in quality.”

For decades, quality control in aerospace revolved around specialized departments. Engineering designed the part. Manufacturing produced the part. Quality inspected the part.

That model no longer works.

Modern aerospace programs are too complex, too regulated, and too interconnected for quality to live inside a single department. Today, quality begins long before the first chip is cut. It begins at quoting, contract review, supplier qualification, risk analysis, process planning, material traceability, in-process inspection, and continues throughout the operational life of the aircraft.

The aerospace industry now faces a convergence of pressures making this shift unavoidable:

  • OEM delivery backlogs remain historically high.
  • Supply chains continue to experience instability.
  • Aging aircraft fleets require more extensive inspection and maintenance.
  • Skilled labor shortages are affecting manufacturing and MRO operations.
  • OEMs are accelerating digital thread and paperless manufacturing initiatives.
  • New IA9100 priorities increasingly emphasize predictive quality, traceability, cybersecurity, and supply chain resilience.
  • New CMMC certifications for Defense programs and contractors across their supply chain (on top of ITAR)

In other words, aerospace quality is no longer simply about “form, fit, and function” conformity. It is now about operational resilience.

One theme has remained constant throughout my career: Interpretation is expensive.

Every RFQ package today contains increasingly complex requirements: Tight GD&T tolerances, flow-down specifications, embedded PDFs, 3D model annotations, regulatory references, material certifications, and extensive documentation deliverables.

Unfortunately, many manufacturers still rely on fragmented systems and manual processes to interpret and transfer that information. Paper travelers, spreadsheets, handwritten inspection notes, and manual re-entry between software platforms remain common.

Each manual step introduces risk.

A missed note, revision mismatch, or incorrectly interpreted tolerance can quickly lead to scrap, rework, delays, customer escapes, supplier disputes, and program disruption.

This is why quality can no longer be isolated at final inspection. The real challenge today is not simply inspection—it is managing information integrity across the entire supply chain.

The aerospace industry has discussed “digital twins” and “Industry 4.0” concepts for years, but these ideas are now becoming operational necessities. OEMs increasingly expect suppliers to participate in digital manufacturing ecosystems where the 3D model becomes the central source of truth.

Model-Based Definition (MBD) and Product Manufacturing Information (PMI) are no longer experimental concepts. Engineering defines requirements directly in the model. CAM systems generate machining paths. CMM software extracts inspection characteristics from CAD. ERP and MES systems track production and traceability in real time.

In theory, this creates enormous opportunities. In practice, the software ecosystem remains fragmented. CAD, CAM, CMM, ERP, MES, and QMS platforms often do not communicate seamlessly, forcing manufacturers to spend valuable time translating, validating, and reconciling data.

This is where quality increasingly becomes the glue holding the digital thread together.

Quality professionals today are no longer only inspectors. They are workflow architects, compliance coordinators, risk analysts, supply chain collaborators, and digital transformation leaders.

One of the most important shifts I’ve witnessed is the movement from end-of-line quality control toward inline quality ownership.

In the past, manufacturers often discovered problems late, after the machine completed the part, and quality finally inspected it.

Today, inspections increasingly happen during production. Machines measure. Operators verify. Sensors monitor. SPC systems alert. Software analyzes. The process itself becomes intelligent.

This transformation is especially important in aerospace because tolerances continue to tighten while labor shortages intensify. The industry cannot scale simply by adding more inspectors. Instead, quality must become embedded into CNC equipment, tooling systems, CMMs, ERP platforms, supplier workflows, and AI-driven analytics.

Even machines are now participating in quality.

This transformation extends far beyond machine shops. OEMs and higher-tier suppliers with PMA authority face enormous pressure to maintain product integrity across increasingly global and fragmented supply chains.

Historically, supply chain decisions often leaned heavily on cost, lead time, certifications, or long-standing relationships. But aerospace programs today are exposing the limitations of that approach.

OEMs are placing greater emphasis on supplier quality maturity, digital traceability, process capability, counterfeit prevention, configuration control, cybersecurity, and real-time collaboration.

This is not just about compliance. It is about survivability.

The strongest aerospace supply chains of the future will likely be built around quality collaboration—not transactional purchasing.

At the same time, the industry faces a generational workforce transition. For years, aerospace relied heavily on the knowledge of its team. Experienced inspectors and technicians knew where failures occurred and what to watch for. But that knowledge cannot scale alone.

The future workforce will require standardized digital workflows, connected data environments, AI-assisted analysis, and collaborative quality platforms capable of preserving institutional knowledge while accelerating learning.

Let’s take a deeper look at the quality department. Despite the availability of superb technology in most of the organizations I have the privilege to work with, some departments or organizations still rely on these traditional approaches:

  • Paper documentation
  • Excel spreadsheets
  • Manual data entry
  • Re-typing measurements
  • Disconnected system
  • Late discovery of issues
  • Limited collaboration between departments

But the future looks very different.

Quality is becoming fully immersed in engineering, manufacturing, business systems, and supply chain operations. It is moving upstream into quoting and design, midstream into production and process control, and downstream into inspection, reporting, maintenance, and compliance.

The organizations leading this transformation are building environments where teams can:

  • Plan — define requirements earlier and more clearly.
  • Measure — capture data directly from connected equipment.
  • Analyze — identify risk patterns faster with real-time analytics.
  • Report — generate compliance documentation from centralized data.
  • Submit paperwork — automate FAI packages and traceability records.
  • Get and share approval — collaborate in real time across engineering, manufacturing, suppliers, OEMs, and regulators.

This is not simply a software or AI upgrade. It is a business transformation.

The aerospace and defense industry has always demanded exceptional discipline. But today, the definition of quality is expanding beyond inspection reports and calibration systems.

Quality now includes data integrity, digital continuity, supply chain resilience, predictive analytics, cybersecurity, workforce enablement, and operational transparency.

Most importantly, quality is no longer owned by one department.

  • Engineering owns quality.
  • Manufacturing owns quality.
  • Purchasing owns quality.
  • Suppliers own quality.
  • Leadership owns quality.
  • And increasingly, the machines themselves participate in quality.

The organizations that embrace this mindset will not only improve compliance. They will build stronger supply chains, reduce operational risk, accelerate production readiness, and create a more resilient aerospace industry.

Because in Aerospace and Defense, everyone is in Quality.

LEARN MORE

  • Put Quality First: The Case for Rethinking How We Choose Manufacturing Partners
  • The Gap Between OEMs’ 3D MBD and Supply Chains
  • Why Should We Position Manufacturing Quality at the Center of our Businesses?
KEYWORDS: Artificial Intelligence (AI) CMMs enterprise resource planning (ERP) manufacturing metrology Model-Based Definition (MBD)

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Francois gau

Francois Gau is the CEO of GrowthHive. For more information, email [email protected].

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