In complex aerospace & defense (A&D) programs, the greatest threats to margin and delivery confidence often show up as variability: small execution breakdowns that compound across shifts, sites, and suppliers. Many enterprises tolerate this friction as the cost of doing business. However, by treating execution variability as an enterprise risk that can be measured and managed, leaders can gain real leverage to improve margins and on-time delivery.
Unplanned work and change complexity
Let’s start with engineering change. In complex manufacturing, revisions, updates, and supplier substitutions are expected. The real risk is losing control of how those changes move through planning, procurement, quality, and production.
Across A&D programs, this often shows up as teams interpreting the same update differently. One group has the latest drawing, another is working from an older build sequence, and another has accepted a supplier substitution that has not yet been reflected in the build record. That is where change turns into decision latency. Teams pause to confirm the current configuration, determine what is approved, or identify who owns disposition.
Control comes from making the current configuration visible and actionable at the point of work. Engineering changes need a governed path into production execution, so approved revisions, quality requirements, and work instructions stay aligned as the manufacturing process moves forward. When change is consistently propagated, teams can keep moving forward with a reliable record of what was built.
Execution blind spots and forecast risk
Forecast risk gets labeled as a planning issue, but A&D leaders often describe it as a visibility problem. Leaders are forecasting with signals that arrive late or have already been interpreted. When the shop floor, quality, and suppliers are not reflected in real time, the schedule stops being a measurement and starts becoming an approximation.
That gap shows up quickly at the executive level. A job looks on track until a hold, inspection queue, or nonconformance surfaces late in the process. At that point, the response is to expedite additional labor or local exceptions just to keep commitments intact. The work may move, but the underlying signal has not improved, so the same pattern repeats in the next cycle.
The fix is straightforward to describe, but harder to enforce. Execution data needs to move through a governed workflow into the systems that manage commitments. When holds, inspections, and work progress update as part of the work itself, leaders can see risk while there is still time to respond. Forecasts begin to reflect actual conditions on the floor, and decisions follow from that shared view.
Reducing rework to boost margins
Leaders often treat rework as a cost bucket, something to reduce through local improvements. I see it as a measurable signal of how well the enterprise controls change, process discipline, and quality in context. When rework rises, the issue is usually systemic, stemming from unclear instructions, incomplete traceability, unresolved change impacts, or quality requirements that were not visible at the point of work.
That is what makes rework strategically dangerous. A defect found early can often be corrected with limited disruption. A defect found in final assembly or during MRO consumes scarce labor, replacement components, and repeat inspection. The deeper a defect travels, the steeper the financial and schedule impacts become, often at the exact moment when available options are most constrained.
Reducing rework starts with making the cause, location, and recurrence visible in the same workflow that governs production. Teams need traceability from the defect back to the instruction, configuration, material, process step, or quality requirement that contributed to it. That gives leaders more than a rework total. It gives them a way to see where control is breaking down and correct the system before the same issue repeats.
Remember – rework isn’t a cost bucket. It is, however, a signal that you’re losing control of execution.
Execution governance and the bottom line
Execution governance isn’t a shop floor initiative. It’s an enterprise decision about what kind of operational data the business is willing to run on.
If your team is reconciling reports to figure out what was built, you don’t have an execution problem. Instead, you have a control problem. In A&D, where margin and schedule are unforgiving, control is the asset.
The leaders pulling ahead right now are the ones treating execution variability the same way they treat financial risk: measured, owned, and managed at the enterprise level. The rest are absorbing the cost and calling it the cost of doing business.
It isn’t. It’s a choice.
With Solumina MES, execution variability stops being an invisible drag on performance and becomes a controlled, measurable part of operations. Connected work instructions, quality events, and end-to-end traceability give A&D manufacturers the real-time data they need to manage complexity before it turns into cost, delay, or risk. In an environment where every deviation matters, the question is no longer whether variability exists; it’s whether you have the system in place to control it.
