Aerospace ramp-up: engineering data is the weak link in the supply chain

Civil aerospace is living through a historic production ramp-up. Airbus is targeting 75 aircraft delivered per month for the A320 family and accelerating on the A350, order books represent more than ten years of production, and the entire value chain is restructuring to keep pace: consolidation around players like Mecachrome, thousands of hires at Safran and across the large mid-cap suppliers, capacity investments throughout the subcontracting fabric. In parallel, defense adds its own pressure: Rafale for export and for Ukraine, drones, munitions, with ramp-up demands voiced publicly by the State.

The dominant narrative about this ramp-up focuses on physical capacity: machines, floor space, materials, skills. These topics are real and well documented. But anyone who has lived through an aerospace supply chain crisis from the inside knows that another, less visible category of friction consumes an enormous share of collective energy: engineering data friction between primes and suppliers. Ambiguous definitions, poorly propagated changes, duplicated and contradictory requirements, rejected first article inspection files, nonconformities whose resolution drags on.

At stable rates, this friction is a background cost, absorbed by habit. During a ramp-up, it becomes the limiting factor. This article explains why, and what suppliers who want to turn this period into an opportunity should conclude from it.

The requirements cascade: an industrial game of telephone

Let's start by describing the central mechanism: the requirements cascade in the aerospace chain.

An aircraft manufacturer defines its product through tens of thousands of requirements, which it flows down to its tier 1 suppliers: technical definition requirements, qualification requirements, quality requirements (the EN 9100 standards and the prime's specific requirements), delegated airworthiness requirements, logistics and material traceability requirements. The tier 1 translates them, completes them, and cascades them down to its tier 2 suppliers, who do the same toward tier 3.

At each level, the cascade travels through documentary artifacts: needs specifications, statements of work, drawings, quality clauses, applicability matrices. And at each level, three forms of degradation occur. First, translation degradation: the upstream requirement is reworded, with the ambiguities that any rewording introduces. Next, version degradation: upstream changes take weeks to propagate, and there are always, somewhere in the chain, players working from obsolete definitions. Finally, traceability degradation: the link between the tier 2 requirement and the manufacturer requirement it derives from is formalized nowhere, so no one can quickly answer the question "does this upstream change affect our part?".

The result shows up in the indicators the whole industry knows: first article inspection (FAI) rejection rates that stay stubbornly high, technical question-and-answer loops that consume weeks, nonconformities of which a significant share come not from manufacturing but from divergent interpretations of the definition.

Why the ramp-up makes everything worse

The ramp-up mechanically multiplies each of these problems, for four reasons that compound.

First reason: the volume of changes increases. Higher rates mean continuous industrialization: routing optimizations, dual sourcing, material substitutions in the face of supply tensions (titanium remains a live issue), workload transfers between sites and between suppliers. Every decision is a definition or process change to propagate through the cascade.

Second reason: the people change. Massive hiring means a loss of experience density: the operators and engineers who used to compensate for documentary gaps with their implicit knowledge are diluted into new teams who, for their part, take documents at face value. Ambiguities that never caused a problem start causing one.

Third reason: qualifications multiply. Each new supplier, each new line, each second source demands a full qualification cycle, with its files, its FAIs, its audits. The capacity of quality and engineering teams to process these files becomes a scarce resource, exactly like machine hours.

Fourth reason: tolerance for delay disappears. At low rates, documentary friction is recovered within the schedule's slack. At high rates, the slack no longer exists: an ambiguous definition blocks a line, a rejected FAI pushes back a delivery, and the delay travels back up the chain to the aircraft manufacturer, with the penalties and visibility that implies.

The conclusion is inescapable: in an industry where physical capacity is built with hundreds of millions of euros, the fluidity of engineering data becomes the cheapest competitive advantage to acquire and one of the most discriminating.

The supplier facing its documentary archipelago

Let's now take the point of view of a tier 1 or tier 2 mid-cap supplier, in mechanics, equipment or aerostructures, typically 300 to 1,500 people, several primes, hundreds of active part numbers.

Its engineering day-to-day looks like this: customer requirements arrive in heterogeneous forms (PDF specifications, customer portals, contractual clauses, annotated drawings); they are analyzed and broken down into internal documents; the links between customer requirements, internal requirements, manufacturing routings, inspections and evidence live in Excel matrices maintained by a few key people; and every customer change triggers a hand-crafted investigation to determine what is affected.

This organization carries three strategic costs. The first is the cost of response: every RFP, every change, every audit requires manually reconstituting information that should be instantly available. The second is the cost of risk: a poorly translated requirement or a poorly propagated change ends up as a nonconformity, a dispute or an incident, with consequences out of all proportion to the initial friction. The third is the cost of opportunity: the most experienced engineers, precisely the ones the industry is short of, spend their time on documentary archaeology instead of preparing for ramp-ups.

And there is a fourth, emerging cost: primes are starting to audit their suppliers' mastery of requirements and configurations as a selection criterion in its own right. In an industry under strain, where primes seek to secure their sources, demonstrating robust data engineering becomes a business development argument, on the same footing as a modern machine park.

The structured repository: from the document stack to the graph

The structural response, for a supplier, is to internalize the cascade once and for all in a structured repository rather than reliving it document by document.

Concretely: each customer requirement becomes an object, attached to its source (document, revision, customer), linked to the internal requirements that break it down, themselves linked to the definitions, the manufacturing routings, the inspection operations and the evidence that cover them, all versioned and attached to the relevant configurations and projects.

On this foundation, the situations that hurt today change in nature. A customer change arrives: comparing revisions identifies the modified requirements, and the graph traversal gives, in minutes, the list of affected definitions, routings and inspections, project by project. An FAI is prepared: the conformity matrix is an extraction from the repository, not a reconstruction. A customer audit occurs: end-to-end traceability, from the source requirement to the evidence, is demonstrated on screen. An RFP is put together: capitalizing on the requirements and justifications of past projects accelerates the response.

This is exactly the role of Koddex: a graph-based Engineering OS, designed for regulated industries, that centralizes requirements, bills of materials, impact analyses and traceability, and gives supply chain mid-caps the data mastery that primes build on their side through transformation programs. The point for a supplier is not to rival an aircraft manufacturer's information system; it is to make its own requirements-definition-evidence loop reliable and fast, the loop that determines how responsive its customers perceive it to be.

A two-to-three-year strategic window

Finally, a word about timing. The announced ramp-ups run through 2027-2028. It is within this window that positions in the supply chain will be redistributed: primes are consolidating their panels, securing second sources, and progressively eliminating suppliers who fail to keep up, on rate or on quality.

For a mid-cap, two trajectories are possible. The first: absorb the ramp-up with a constant organization, stretching the teams, and hope that documentary friction does not produce the incident or delay that gets you downgraded. The second: use the growth in volumes, which finances the investment, to structure its engineering repository now, and show up at panel reviews with a differentiating argument: we master our requirements, our configurations and our evidence, and we can demonstrate it in real time.

In an industry where everyone buys the same machines and hires from the same labor market, the second trajectory is one of the few durable differentiations accessible to a mid-cap.

Conclusion

The aerospace ramp-up is first told as a story of capacity: factories, machines, hires. It will also be won, and perhaps above all, on a more discreet terrain: the ability of each link in the chain to receive, translate, trace and prove requirements that change constantly. Engineering data is today the weak link in this machinery. The suppliers who turn it into their strong link will transform the largest ramp-up in the industry's history into the largest opportunity of their own.

Sources

- Ramping up A320 Family production (Airbus, October 30, 2025)
- Airbus and Boeing now have 12 years of aircraft orders waiting to be built (Aerospace Global News, June 3, 2026)
- La reprise du sous-traitant aeronautique ligerien WeAreGroup par le toulousain Mecachrome est finalisee (Le Journal des Entreprises)
- Safran confirme sa dynamique de recrutement en 2025 (L4M, July 21, 2025)
- Titane : quelles sont les alternatives a l'approvisionnement russe ? (GIFAS, reprise La Tribune, July 22, 2023)
- Ukraine agrees on plan to acquire 16 Rafale jets, France's Macron says (Defense News, July 14, 2026)
- 9100 QMS Requirements for Aviation, Space and Defense Organizations (IAQG, standard reference for EN 9100 / AS 9100)

Koddex gives aerospace supply chain mid-caps mastery of their requirements, configurations and evidence in a graph-based repository. Request a demonstration on your prime contractor flows.