Schneider Electric’s Lexington Facility: A Blueprint for America’s First Smart Factory

What exactly defines a smart factory? While early explanations focus on digital connectivity, Deloitte refines the concept as “a flexible system” capable of self‑optimizing, self‑adapting, and learning from new conditions in real or near‑real time—autonomously managing entire production lines through a continuous feedback loop.

Schneider Electric has just announced that its Lexington, Kentucky plant is the first U.S. facility to meet that definition. The upgrade eliminated 90 % of paperwork and cut mean repair time by 20 %.

Since its opening in 1958 as a Square D factory, Schneider has gradually modernized the site. After acquiring Square D in 1991, the company introduced material‑requirements planning (MRP) software that evolved into an enterprise‑resource‑planning (ERP) rollout, setting the groundwork for the smart‑factory transformation that began this year. The plant produces load centers and safety switches through pressing, riveting, welding, painting, assembly and rigorous quality testing.

“The smart‑factory journey is never a single event,” says Luke Durcan, director of EcoStruxure at Schneider. “It’s a continuous progression.” He explains that labeling the plant as “smart” simply accelerates internal investment and engagement.

Early automation in the 1990s—what PwC calls Industry 3.0—boosted lathes, presses and machining centers, laying the foundation for later Industry 4.0 initiatives that emphasize plant‑wide digitization and data integration. Around the same time, the Lexington team embraced lean manufacturing, a philosophy that still drives the plant’s focus on waste reduction, worker workflow optimization and kanban management.

Lean has delivered tangible results: Schneider’s EcoStruxure Resource Advisor and Power Monitoring Expert reduced annual energy use by 3.5 % and generated $6.6 million in regional savings since 2012.

A decade ago, the plant invested in a power‑and‑free conveyor system—an overhead “power” track and a lower “free” track that span over a mile—preceding the rise of Industry 4.0 and IoT terminology. In the 2000s, a manufacturing execution system (MES) was deployed, further advancing material‑flow‑based data integration.

Today, Schneider is pulling disparate data sources together. The MES, ERP, IBM Maximo (for maintenance), SAP (for asset modeling) and Wonderware (for visualization) are unified through a centralized operational‑technology (OT) data integration layer. As Durcan notes, “We use Wonderware as part of the EcoStruxure solution; it’s a separate legal entity but functions as one ecosystem for our clients.”

A recent deployment of Aveva Insight Data—Schneider’s majority‑owned subsidiary—reduced downtime of critical processes by 5 %.

Asset modeling is central to the plant’s performance measurement. SAP serves as the single source of truth; data is extracted into Maximo and Wonderware, maintaining a consistent hierarchical asset framework across the enterprise.

Durcan’s enthusiasm for augmented reality (AR) grew after seeing it in action. Two years ago, the Augmented Operator Advisor was installed on 16 machines, enabling workers to scan a QR code and view live PLC data on a tablet or smartphone. The AR overlay displays machine status, alarms, safety issues and internal panel diagnostics, cutting repair time by an estimated 20 %.

Beyond individual machines, AR provides real‑time data ingestion that informs maintenance workflows. Workers can report specific issues—bearing failure, lubrication, seal problems or motor burnouts—directly from the AR interface, feeding contextual data into analytics that continually refine predictive models.

“Ingesting context at an industrial scale is the key to a true smart factory,” Durcan concludes. “That’s how we train algorithms to become genuinely intelligent.”