Having the Design Isn't Enough: Why Manufacturing Capability Has to Be Transferable
Having the design for a part does not necessarily mean production can move with it. Qualified manufacturing may also depend on process knowledge, tooling, specialist equipment, inspection requirements, manufacturing data and the qualification of the production route. If those cannot be transferred or recreated, another factory may have the capacity to make the part but not the capability to produce it when it is needed.
That distinction matters whenever manufacturers need to expand capacity, replace a supplier, recover lost production or respond to a sudden increase in demand.

The product definition is only part of the manufacturing capability
Technical data matters enormously.
The U.S. Department of Defense's own standard for technical data packages describes product data as information intended to define an item sufficiently for a competent manufacturer to reproduce its physical, interface and functional characteristics without returning to the original design activity.
But manufacturing reality can require more than product definition.
In a 2025 review of five selected weapon programmes already in sustainment, GAO found that all five experienced vendor lock in maintenance activities because of technical-data and data-rights shortfalls. GAO also highlighted an important distinction in U.S. law: rights relating to operation and maintenance data do not automatically include detailed manufacturing or process data.
That distinction gets to the heart of the problem.
Knowing what a product is does not always give another organisation everything it needs to reproduce how that product is manufactured, inspected, maintained or qualified.
Production capability can disappear even when the product does not
An older U.S. defence programme shows what can happen when manufacturing capability itself becomes difficult to reproduce.
During refurbishment of the W76 nuclear warhead, the National Nuclear Security Administration needed to restart production of a material known as Fogbank. GAO reported that the organisation lacked the knowledge, expertise and facilities needed to manufacture it and did not effectively implement its risk mitigation strategy.
The planned delivery of the first refurbished weapon moved from September 2007 to September 2008.
GAO reported that failure to effectively implement the Fogbank risk-mitigation strategy contributed to a one-year delay and a $69 million cost overrun. That included:
$22 million to resolve Fogbank production issues;
$23 million to develop an alternative material; and
$24 million to keep production capability at Pantex in standby while assembly was delayed.
This was not a commercial software lock-in case, and it should not be treated as one.
It demonstrates something broader: manufacturing capability is made from more than the design itself, and rebuilding lost capability can take substantial time and money.
The files may survive. The capability to turn them reliably into qualified output may not.
Surge capacity has to be usable, not just available
This changes how we should think about manufacturing capacity.
Imagine an organisation has five production sites instead of one.
On paper, that looks more resilient.
But if only one site has the necessary process knowledge, tooling, qualified workflow or compatible production environment, the other four cannot necessarily absorb the work when demand increases.
The useful question is therefore not simply:
How many factories do we have?
It is:
How much of our qualified manufacturing capability can actually move between them?
That might mean moving production to another machine inside the same factory, another site in the same organisation, an external supplier or newly deployed capacity.
Each move becomes harder when manufacturing knowledge is implicit, interfaces are incompatible, processes are tied to specific equipment or critical information cannot travel with the work.
A factory count alone cannot answer those questions.
Manufacturing dependence can also become digital
Traditional manufacturing dependencies have not disappeared. Specialist tooling, skills, facilities and qualification can still make production difficult to transfer.
As more manufacturing activity is coordinated through software, digital architecture becomes another dependency worth considering.
Can manufacturing information move?
Can different equipment be introduced?
Can another site execute the workflow?
Can capacity be added without rebuilding the production system around the same dependencies?
Does the organisation retain enough manufacturing context to make those changes practical?
These are architecture questions, not arguments against proprietary technology.
Manufacturers will often have good reasons to use specialist or proprietary systems. The important thing is understanding where those choices create dependencies and deciding deliberately which dependencies are acceptable.
Switching production is not free
None of this means a qualified manufacturing process should be instantly portable.
Moving production can legitimately require engineering effort, validation, new tooling, operator training or requalification. In regulated and defence environments, those controls exist for good reason.
Open manufacturing does not make those requirements disappear.
The goal is to avoid adding unnecessary technical dependency on top of the unavoidable work.
If changing a machine, supplier or site requires recreating not only the qualified process but also the digital infrastructure and manufacturing context around it, the cost of switching grows.
That may be manageable during normal production.
It matters much more when the reason for switching is a shortage, supplier failure, geopolitical disruption or urgent requirement for additional capacity.
By then, flexibility needs to have been designed in already.
Transferability should be considered when capacity is built
Manufacturing resilience is often discussed after a disruption occurs.
But decisions made much earlier determine what options will be available when it does.
When creating new manufacturing capacity, organisations can ask:
Which parts of this production capability depend on a particular machine or supplier?
Which manufacturing data and process knowledge will we retain?
Could another suitable machine execute the work?
What would need to be repeated to qualify another production route?
Can workflows connect to different equipment and systems?
If another site has available capacity, what would prevent us from using it?
Are several supposedly independent sites actually dependent on the same technology, interface or provider?
Those questions do not eliminate switching costs.
They expose them before the organisation urgently needs an alternative.
This is where open manufacturing becomes practical
For Entelum, openness is not about making every technology interchangeable or pretending specialist manufacturing knowledge does not matter.
It is about preserving manufacturing options.
Entelum is being developed around an open, modular, machine-agnostic and networked approach to manufacturing: one intended to allow organisations to build manufacturing capability without unnecessarily binding that capability to a single machine type, factory configuration or closed technology stack.
The objective is not independence from every supplier.
Modern manufacturing depends on specialist technology, partners and expertise.
The objective is to make those dependencies deliberate rather than accidental, and to retain enough control of manufacturing capability that production can evolve when circumstances require it.
That could mean introducing different equipment, adding capacity, connecting another site or recreating a production route elsewhere.
Preserving those options when manufacturing capability is first designed can reduce how much has to be reconstructed if production needs to change later.
Resilience is not how many factories you own
A network can contain multiple factories and still share the same critical dependency.
Conversely, manufacturing capability does not need to be duplicated everywhere before it can become more adaptable.
What matters is understanding what has to travel with the work.
The design matters.
So do the process, tooling, qualification, knowledge, manufacturing data and digital context needed to turn that design into a repeatable product.
For organisations investing in manufacturing capacity today, that leads to a more useful measure of resilience than factory count alone:
If demand changes or one production route disappears, how quickly can qualified manufacturing capability be expanded, transferred or recreated somewhere else?
Having access to the design matters.
Retaining the ability to manufacture it may matter even more. Explore how Entelum is approaching open, modular manufacturing capability designed to adapt across machines, sites and changing production requirements.




