One Manufacturing Platform for Product Engineering and Production

One platform from prototype through production with configurable rules that match engineering intent.

High-complexity manufacturing teams often put development and production in different systems of record, even though both should live in the same one. The split can feel manageable at first - especially in early prototyping - because it gives engineering more flexibility. 

But as complexity and scale grow, the lack of a shared system of record starts to create friction across scheduling, inventory, quality, and trust in the work record. 

Manufacturo’s approach is to keep development and production in one manufacturing platform and apply different levels of rigor based on pedigree, which a control tied to engineering intent.

Teams usually split development and production into different management tools for a practical reason: the work requires different operating patterns. 

Production typically needs more structure: 

• Controlled routings and work execution 
• Formal approvals and buy-offs 
• Tighter traceability and quality enforcement 
• Predictable repeatability at scale 

Development typically needs more flexibility: 

• Faster iteration 
• Frequent changes 
• Lightweight process updates 
• Room to test, learn, and adjust without excessive overhead 

The problem is that a typical MES can only apply one rule set. That forces a tradeoff: either development slows down under production-style controls, production controls get weakened to accommodate development, or it requires significant customization. 

To avoid that tradeoff, teams create a workaround: 

• Production stays in the formal system 
• Development moves to spreadsheets, local trackers, tickets, or side processes 

That split can feel practical at first. But as complexity grows, it becomes expensive and risky. Teams still share the same parts, resources, and schedules, but no longer operate from the same system of record. 

Once development and production are managed in different places, teams pay for the split in risk, delay, and duplication. They end up doing the same work twice - setup, administration, configuration, and coordination - while losing the ability to monitor and contain issues in one place. 

1) No single source of truth 

Early prototyping can run on informal coordination. Scaling cannot. 

When development and production live in different systems, teams are working across multiple sources of truth. The result: 

• Work is harder to standardize - Different teams may follow different records for the same build, such as a spreadsheet in development and a formal routing in production. 
• Teams pull from multiple sources just to understand current status - A planner may need to check the MES, a spreadsheet, and side messages just to see what is in progress. 
• Planning and coordination slow down because teams must reconcile that information before they can act - Before assigning labor, equipment, or next steps, someone has to verify which source is current. 
• Confidence drops because no source is complete - Teams hesitate to make decisions because no single record shows the full picture of what changed, what ran, and what is still pending. 

2) Work becomes harder to trust, reuse, or defend

In complex development work, teams are not just dealing with disposable trial parts or low-value throwaway work. They are dealing with builds, components, test results, and decisions that may still have real value later - if they can be trusted. 

When that history is scattered, the information may still exist, but not in a form teams can confidently rely on. 

That creates downstream friction: 

• Teams hesitate to reuse parts, results, or prior decisions because the record is incomplete 
• Work that could have been carried forward gets re-tested, re-documented, or re-built instead 
• Decision trails are harder to defend during review, qualification, or customer scrutiny 

The problem is not always that teams throw the work away. Often, they do not use it in the first place because they cannot trust it enough to reuse it confidently. 

3) Planning and scheduling become reactive

Development and production compete for the same constrained resources - tools, equipment, inspection capacity, and specialized labor. 

When they are managed in different systems, teams are forced to pull information manually from multiple sources instead of planning on a single shared schedule. 

That leads to: 

• Bottlenecks managed by interruption instead of planning 
• Manual priority negotiation 
• Poor visibility into schedule impact 
• Work that feels either hot or backlogged 

It also distorts materials planning. When development demand is informal or poorly recorded, teams often bypass normal procurement to keep work moving - creating downstream cost and planning problems. 

4) Inventory control breaks down 

Development consumes real parts - often the same parts production needs. If that usage is not recorded cleanly, inventory boundaries become unclear. 

That leads to: 

• Weak separation between development and production inventory 
• Part movement or consumption without reliable traceability 
• Conflict over what stock is actually available 
• Manual workarounds to compensate for system gaps 

When teams cannot clearly see what inventory exists, where it went, and what it supported, and what level of control it actually requires, execution slows, costs rise, and trust erodes across functions. Without that distinction, parts may be received and inspected at production- or flight-level rigor by default, even when they are only meant for development. 

5) Costs become harder to measure and control 

When development activity sits outside the main system of record, costs are often under-recorded, miscoded, or invisible. 

That makes it harder to understand: 

• Actual development spend 
• True labor and material consumption 
• Where high-control inspection/documentation is necessary 
• Where production-level quality overhead is being applied too early 

This is not just a reporting problem. If teams cannot see development costs clearly, they cannot improve them. 

6) Quality controls become manual, or development gets overburdened

As mentioned before, it is a struggle to have different quality rules for development and production in the same system; they usually compensate in one of two ways: manual judgment or blanket bureaucracy. 

• Manual judgment creates risk: people must remember which materials, inspections, and approvals apply. 
• Blanket bureaucracy creates drag: development work gets forced through production-level controls it does not need. 

The result is the same: more work, slower execution, and less reliable control. 

What teams need is one system of record with quality and testing requirements applied automatically based on the type of work. 

Additionally to this, development work is not always throwaway. These parts can be used in several ways, for temp-fit-ups, and even upgraded for work in testing and validation, and even for end use.  

The requirement is not one rule set. It is one system of record with different rules for development and production. 

That lets teams: 

• Move development quickly 
• Keep production controlled 
• Apply the right rigor automatically 
• Share one data foundation 
• Keep planning, inventory, and traceability aligned 

This is the operating model Manufacturo supports. 

Manufacturo supports one-platform execution through several capabilities: 

1) Flexible execution by stage 

Not all work starts with a fully defined process plan. Some starts lightweight and becomes more formal as the design matures. 

Manufacturo supports both approaches, so teams can start where they are and add control over time without leaving the platform. 

2) Inline redlines and real-world change handling 

Development changes constantly, and production still needs controlled adjustments, clarifications, and rework. 

Manufacturo supports inline redlines and change handling in the execution context, so teams can capture changes without breaking traceability or relying on side notes. 

3) Quality embedded in execution 

Many companies split systems because quality lives outside execution. 

Manufacturo embeds quality workflows - inspections, approvals, dispositions, holds/releases - directly in the manufacturing process, so control scales with the work instead of showing up only at the end. 

4) Support for rapid iteration 

Development teams need to test, adjust, rebuild, and learn quickly. 

Manufacturo supports that pace while keeping work visible in the same operational environment as production, so development is not off the books while it evolves. 

5) Usability for cross-functional teams 

A shared operating model fails if only specialists can use the system. 

Manufacturo is built for engineers, planners, technicians, and quality teams to work in the same environment without heavy training or workflow friction. 

6) Action-oriented workflows and execution visibility 

Both development and production create decisions, exceptions, and follow-up work. 

Manufacturo keeps actions connected to the build, part, or process, reducing the need for separate trackers that are hard to reconcile later. 

7) Pedigree-based control tied to engineering intent 

Pedigree is a key mechanism for applying different levels of rigor in one platform. 

It determines what controls, eligibility rules, and operational requirements apply to parts, components, assemblies, and builds - so development and production can share a system without being treated the same. 

Pedigree is Manufacturo’s configurable tiering system for parts, components, assemblies, and builds. It defines the required level of rigor for a given use case and drives the rules that follow - including quality controls, approvals, dispositions, and usage restrictions. 

Essentially, it is how engineering intent is enforced in execution. 

In practice, pedigree maps to the control level required for the work, for example: 

• Development/proof-of-concept 
• Test/qualification 
• Production / final 

Tier names vary by customer and industry. 

For example, aerospace teams may use: 

• Development/proof-of-concept 
• Test / non-flight / GSE 
• Flight or production-critical 

Other industries may use different terms, such as: 

• Early engineering builds 
• Test and qualification builds 
• Production / final assemblies 

The terminology changes. The operational need does not. 

Pedigree is tied to configurable rules, not to a single hardcoded workflow. 

Common pattern: 

• Work is typically done in the same pedigree (parts, work orders, inventory) 
• Higher pedigree items can be used on lower pedigree, but this is done sparingly with approval (as higher pedigree items typically have a much higher cost associated with them) 
• Lower-rigor parts cannot flow up unless: 
• Go through an upgrade/recertification process that ensures that it meets the specifications and rigor of the higher pedigree 
• Installed as a “temp fit-up” and must removed later in the process/build. 

That protects final assemblies without forcing production-level overhead onto development. 

Pedigree can also drive: 

• Inspections and approvals 
• Quality workflows and dispositions 
• Inventory usage constraints 
• Build-context movement rules 
• Controlled exceptions (including temporary fit-up scenarios) 

The same model supports change control: development can use lighter workflows while production-critical work follows tighter controls, with a shared history preserved in a single (and true) system of record. 

Manufacturers do not need to choose between speed and control. They need one system of record with different controls for development and production.

That is what Manufacturo supports - one platform, configurable rules, and execution aligned to engineering intent. Pedigree is a core mechanism.

The payoff is practical: better planning, stronger inventory control, clearer cost visibility, appropriate quality overhead, and traceability that carries from prototype through production.

Teams move faster in development, stay controlled in production, and keep a trusted record from first build to final delivery.