The Hidden Cost of Word Docs and Scripts: Why Aerospace and Defense Manufacturers Need MES to Ramp Up Production

Why do Aerospace and Defense manufacturers need MES to ramp up production?

Aerospace and defense suppliers scaling from single-digit to multi-digit annual unit counts need a production system that new operators can follow, that primes can query for status, and that holds quality at rate before the first EN9100 audit finds the gap. Most are still running assembly on printed travelers, tests on engineer-owned scripts, and evidence on shared drives no 2 teams organize the same way. Hiring into that problem costs more than fixing it. MES like Connektica gives aerospace and defense suppliers a single platform for guided assembly, automated test execution, and one-click compliance reporting, and can be deployed in as little as 8 weeks (Read EDGX's case study).

Why are Aerospace and Defense Companies hitting rate walls before production capacity runs out?

The order books are full.

Airbus is pushing A320 and A350 rates that are cascading hard through their supply chain. Constellation programs are asking suppliers to go from annual unit counts to weekly ones. Defense primes are telling suppliers that EN9100 compliance is no longer a checkbox, but a condition of the contract.

Demand has outpaced the production infrastructure that most aerospace and defense suppliers actually have in place.The problem is the execution infrastructure, not floor space or headcount.

The production system that worked at 4 satellites a year was never designed to run at 40. The test procedure one engineer wrote in LabVIEW in 2019 was never meant to be handed to three different operators across two shifts. When the ramp arrives, suppliers discover that what looked like a capable shop was in fact a capable team, and that the two are not the same thing.

That is the rate wall. Not a capacity problem. What happens when a production system built for low volume meets a demand signal built for scale, and the gap is filled with tribal knowledge and manual workarounds that were never designed to last.

Why does absorbing a rate ramp by hiring more staff fail at the worst moment?

The instinct is understandable. A new program lands, the volume doubles, and the fastest lever available is hiring.

Engineer-dependent processes are the first problem. If the solution is hiring more engineers, it will cost you 2x more than operators. On top of this, qualified AIT engineers are hard to find, and the moment you ask them to spend their days running repetitive production tasks, you start losing them.

The second problem surfaces the moment you hire less experienced staff to fill the gap. Without proper controls and guided procedures, a new operator needs weeks to reach acceptable autonomy. During that ramp, quality slips, builds slow down, and the rework and reinspection costs quietly erase the margin on the program. The aerospace and defense suppliers who survive rate pressure are the ones who can hold quality and cost at volume. The ones who cannot do not get the next program.

The third problem is one most suppliers do not see coming until they are already in it. Primes expect regular status updates to keep programs on track. At low volume, a production manager can pull that together manually. At high rates, it becomes a job in itself. Suppliers end up hiring people whose entire function is reporting what is happening on the floor, rather than working on or improving what is happening on the floor. Meanwhile, their competitors with connected production systems have those updates available automatically, at any time, without a single additional headcount. That is the kind of gap that loses programs quietly.

Headcount growth does not fix the execution system. It hides the problem long enough for it to become someone else's crisis.

Which shop floor processes fail first when production volume doubles in Aerospace and Defense manufacturing?

Test cycles go first. The bench script one engineer wrote for a qualification campaign was never designed to run daily across multiple operators. When volume increases, that script becomes a bottleneck: only one person knows how to set it up, results get logged manually into a spreadsheet, and the report that needs to go to the prime takes four hours to compile.

Traveler management fails second. At low volume, a printed PDF packet is manageable. At rate, paper travelers fragment across shifts, operators work from different revisions without knowing it, and the as-built record becomes a reconstruction exercise rather than a live capture. The moment a prime asks for a full build report on a serial number from three months ago, the search begins. A customer described the audit preparation cost: significant time spent chasing evidence across folders and making sense of the different structures each team applied.

Quality evidence fails third, and this is the one that costs programs:

• NCRs that were closed verbally.
• Inspection steps that were signed off on paper and never digitized.
• A calibration record for a torque wrench that lives in a binder somewhere on the floor.
• …

When the EN9100 auditor asks for the evidence trail on a specific unit, the answer should be one click. At most aerospace and defense suppliers producing on manual systems, it is a two-day search.

How does a manufacturing execution system (MES) help aerospace & defense companies ramp production rate without linearly adding headcount?

The three failure points above share a common cause. Test results, traveler status, and quality evidence all live in separate places, owned by different people, captured at different times. An MES does not add a new layer on top of that problem. It replaces the disconnected capture points with a single execution system where the work and the record happen at the same time.

On the test side, automated bench orchestration replaces the engineer-dependent script. Operators run structured test sequences directly from the platform, instruments capture measurements automatically, and the report is generated from live data rather than assembled manually after the fact. Anywaves reduced component testing time by 97% after moving to automated bench execution (Read Anywaves’ case study). ATEM saved over 2,500 hours on RF functional tests across their campaigns (Read ATEM’s case study). In both cases the gain was not from running tests faster. It was from eliminating the manual steps around the test that had been invisible until volume made them unsustainable.

On the assembly side, digital travelers replace paper packets. Operators follow guided work instructions on screen, e-signatures capture each step as it is completed, and the as-built record builds itself in real time. When a prime asks for status updates on a specific serial number, it is already there. No search, no reconstruction, no two-day scramble before the audit.

On the quality side, NCRs are opened, tracked, and closed inside the same system where the work happened. Calibration states are checked automatically before a step executes. If a torque wrench is past its calibration date, the system blocks the step before the operator reaches it, not after the auditor finds it.

The result is a production system that new operators can follow from day one, that primes can query for status without a dedicated reporting function, and that holds quality at rate without adding headcount to cover the gaps.

When is the right moment for aerospace and defense manufacturers to start an MES pilot on a production rate ramp?

The most common answer is: after the ramp. Once the program is stable, once the team is in place, once there is time to do it properly. That answer is how suppliers end up failing their first EN9100 audit at rate, losing a follow-on program to a competitor who can provide automatic status updates, or discovering that the LabVIEW script their best test engineer wrote does not survive his departure.

The right moment is before the ramp hits full speed and on one real product. A scoped pilot on the actual assembly sequence or test campaign that is about to scale, with the operators who will run it at rate.

Skynopy went from kickoff to a fully operational test sequence in 2 months (Read the case study). Two engineers who had been manually running RF campaigns were freed for higher-value work from that point forward. The pilot did not wait for the production system to be perfect. It started where the pain was most acute and proved the model fast enough to matter.

The suppliers who start a pilot at the beginning of a ramp have a working digital production system by the time volume arrives. The suppliers who wait until the ramp is already in crisis are the ones rebuilding their execution infrastructure under program pressure, with an auditor scheduled and a prime asking for status updates they cannot produce.

The cost of waiting is not abstract. It shows up in rework, in reporting headcount, in audit findings, and in the programs that go to the supplier who was ready.

Want to see if this is the right time to adopt an MES for your organization?

Anywaves, ATEM, and Skynopy each started with one scoped pilot before the ramp hit. If you want to see how that looked in practice, book a working session. We will walk through the execution model on a product that looks like yours.