1. 3DS Blog
  2. Brands
  3. DELMIA
  4. How to Build a Manufacturing Center of Excellence (CoE) for Global Operations

September 21, 2026

How to Build a Manufacturing Center of Excellence (CoE) for Global Operations

Discover how to build a Manufacturing Center of Excellence (CoE) to capture critical operational knowledge, bridge site-level performance gaps, and standardize best practices across your network. By combining executive authority, cross-functional teams, and centralized platform governance like DELMIA Apriso, manufacturers can maintain consistent quality and output despite ongoing workforce shifts.
header
AvatarLouis Columbus

Table of contents

Run the same product across ten plants and you get ten versions of “good.” One site nails a changeover in half the time of another. A third has a quality trick nobody ever wrote down. The methods that make a plant excellent stay local, and the gap between your best site and your worst one is wider than the numbers on a dashboard suggest. A 2025 McKinsey report found that the share of U.S. manufacturing employees over 55 had more than doubled over the preceding 20 years. The report warns that retirements are taking institutional knowledge out of the workforce. The share of U.S. manufacturing employees over 55 has more than doubled in the past 20 years, climbing from about 10% to roughly 25%, and retirements have surged. Every one of those departures takes process knowledge out the door with it, and the gap between your strongest plant and the rest widens as they go.

A Center of Excellence exists to keep that from happening. It’s the team and the operating model that capture what your best plants already do well, turn it into a standard every site can run, and govern that standard as it spreads. For a global operation, building one is less an organizational nicety than a way to hold quality and output steady while the workforce underneath it changes.

You already know what a Center of Excellence is and why it matters. What’s harder is standing one up and running it across dozens of facilities so a validated improvement actually reaches the floor. Here is how to build it.

Manufacturing CoE Governance: Securing Executive Mandate and Authority

A working Center of Excellence can define, approve, and enforce how work gets done. That authority has to come from the top. Without an executive sponsor who gives the team a real mandate, the result is a group that writes recommendations plants are free to ignore, and most of them will. Every site believes its way is the right way.

So the first build decision is about scope and teeth, not tools or headcount. Name the processes the Center of Excellence owns. State plainly that its approved standards are the standards, and that deviating from one is a decision a plant has to justify rather than a default it can drift into. Fund it as a permanent function, not a project that ends when a rollout does. The mandate is what turns a best practice from a suggestion into an operating rule.

Structuring Your Manufacturing CoE Team: Key Roles and Cross-Functional Depth

The people on a Center of Excellence decide whether its standards survive contact with the shop floor. You want cross-functional depth, starting with process engineers who understand how a method actually performs, quality specialists who own the checkpoints, IT and OT people who can scope a change without breaking security or uptime, and plant-level representatives who can say in an afternoon whether a proposed standard will hold up on a real line.

That last group matters more than teams expect. A standard written by people who don’t run the process draws quiet resistance at every site. A standard shaped by the operators and plant engineers who do run it gets adopted, because the people asked to follow it helped build it. Keep the core team small enough to move quickly, and give it a standing connection to the plants so validation stays continuous instead of becoming a once-a-year audit.

Standardizing Best Practices: Turning Plant Wins into Executable Standards

At its core, a Center of Excellence runs a loop. Find where a plant does something better than the rest. Measure it against a baseline to confirm the gain is real and repeatable. Package the proven method into an executable standard, which means the work instructions, the quality checkpoints, the inspection steps, and the parameters that produced the result, not a slide that describes them. Deploy that standard to every relevant site. Then watch the data come back and start the loop again.

The word carrying the weight there is executable. A standard nobody can run is documentation. A standard built as a deployable process definition is something a plant inherits and follows on day one. McKinsey traces part of the productivity slide to broken chains of operational knowledge. Methods that teams refined and codified over decades, passed worker to worker, were set aside during the disruptions of the past few years and never fully restored. A Center of Excellence is the structure that rebuilds those chains, because the standard lives in the system instead of any one person’s head.

Scaling CoE Standards Across Plants: Role of Enterprise MOM Platforms

Here is where most Centers of Excellence stall. The team validates a better method, and then it takes months to get that method onto the floor of thirty or sixty or a hundred plants, one manual deployment at a time. Governance that can’t reach the floor quickly is just a backlog.

This is the job a modern Manufacturing Operations Management (MOM) platform gives a Center of Excellence a way to govern manufacturing processes across its network. A Manufacturing Execution System (MES) supports production execution and can span multiple plants. MOM extends that scope to other manufacturing operations, bringing functions such as quality and maintenance into the same framework. DELMIA Apriso builds this in through its Center of Excellence capability, which lets a team standardize processes on an enterprise system, roll them out to all plants, and monitor and update them from one place. Best practices get defined centrally, shared with every facility, and governed with paperless work instructions and audit trails. An improvement validated once gets disseminated to every site, so a proven method stops being a local advantage and becomes the way the whole network runs.

A capable platform also respects the reality that plants aren’t identical. A good one captures a manufacturer’s own methods through configuration rather than custom code, which lets the Center of Excellence push one validated standard everywhere while leaving room for the legitimate local differences each site carries. That balance, standardized enough to govern and configurable enough to fit, is what keeps a standard from getting rejected the moment it lands at a plant that runs a little differently. It also beats the shortcut most networks try first, copying one plant’s configuration into the next, which works until someone at the second plant changes one thing and central visibility quietly disappears.

What a Shared Source of Truth Makes Possible

Canray Transportation, part of the industrial group Yeşilova, designs and builds rail interiors, the ceiling modules, wall panels, lighting, and climate systems you find on the Riyadh Metro, the RER NG in Paris, the I-LINT in Germany, and metro networks in Dubai and Hanoi. Delivering consistent quality into that many programs, in that many places, is a standardization problem before it’s anything else. Canray uses the 3DEXPERIENCE platform to connect its product data and give teams access to current design information.

As Gökhan Bay, Design Manager, Canray, puts it:

We now have a reliable single source of truth. This enables us to easily collaborate within our teams and with our customers to design sustainable rail solutions that reduce environmental impact while meeting our clients’ exacting standards.”

 The relevance to a Center of Excellence is the shared information foundation. Teams need a reliable reference before they can govern a common way of working.

Measuring CoE Success: Deployment Speed Metrics and Operating Cadence

Treat a Center of Excellence as an operating rhythm, not a launch. The teams that make it stick treat improvement as part of the weekly cadence, reviewing performance across sites, deciding what to validate next, and pushing the winners out on a regular clock instead of waiting for an annual initiative. Continuous only stays continuous when it’s scheduled.

Then measure deployment speed, which is the single number that tells you whether the Center of Excellence is actually working. How long does it take for a validated improvement to reach every site? If the answer is months, your Center of Excellence is generating paperwork. If the answer is days, it’s governing. Track the spread between your best and worst plants on the metrics that matter, and watch it narrow as standards propagate. That narrowing is the return. It shows up as steadier quality, faster onboarding for new operators who learn one validated method instead of a plant’s local habits, and less dependence on the few veterans who used to be the only ones who knew how.

The workforce math isn’t going to reverse. The manufacturers that hold performance steady through it will be the ones who captured what their experts knew before it left. A Center of Excellence is how you do that at global scale. It turns scarce, individual expertise into a standard the whole network can run, and it gives a way to keep improving that doesn’t depend on any one person staying. Start with the process where your best plant is already measurably ahead, before the next retirement on your calendar.

To learn more about how DELMIA Manufacturing Operations Management supports Centers of Excellence and global process standardization, contact us today.

DELMIA, from Dassault Systèmes, enables manufacturers to keep factory operations running smoothly. Powered by the 3DEXPERIENCE platform, our Manufacturing Operations Management (MOM) and Manufacturing Execution Systems (MES) solutions establish a unified digital environment that provides real-time visibility and AI-enhanced control. By connecting the virtual and real worlds, we enable you to streamline complex processes, minimize waste and guarantee quality. Harnessing data-driven insights and intelligent automation allows for optimized production, enhanced adaptability to disruptions and the delivery of sustainable, customer-focused manufacturing performance at scale.

Stay up to date

Receive monthly updates on content you won’t want to miss

Subscribe

Register here to receive updates featuring our newest content.