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Global Manufacturer Deploys Smart Factory MES 5 Months Early with Velocity-Forge™

Implementation ServicesVelocity-Forge™Manufacturing ITIoT Integration
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19 Months
Implementation Time
12 Facilities
Plants Modernized
+45%
Defect Detection
Retained & Expanded
OEM Contracts

The Challenge

An automotive parts manufacturer needed to modernize their Manufacturing Execution System (MES) across 12 plants to meet new OEM quality requirements, but traditional implementation would take 24 months—risking critical supplier contracts.

The Solution

ELMET deployed Velocity-Forge™ to generate a modern, cloud-native MES architecture with IoT integration, real-time quality monitoring, and plant-specific configurations—delivering the complete rollout in 19 months across all 12 facilities.

The Journey

A Tier-1 automotive parts supplier serving major OEMs faced a critical deadline. New quality traceability requirements from their largest customers demanded a modern Manufacturing Execution System with real-time defect tracking, complete part genealogy, and automated quality gates.

Their existing MES was a 15-year-old on-premises system that couldn't meet the new requirements. Traditional MES implementations in manufacturing typically take 18-24 months per plant. With 12 plants needing modernization and major contracts at stake, the math didn't work.

Losing these contracts would mean significant workforce reductions and serious financial consequences. But rushing a manufacturing system implementation risked production disruptions that could be equally catastrophic.

ELMET's Velocity-Forge™ approach began with intensive discovery across three representative plants—high-volume, high-mix, and specialty operations. Natural language specifications captured not just software requirements but manufacturing process knowledge, quality standards, and plant-specific variations.

Velocity-Forge™ generated a modular MES architecture that could be configured for each plant's unique processes while sharing a common core. IoT integration patterns for 50+ equipment types were generated automatically, dramatically reducing the traditional integration timeline.

The AI-generated codebase included real-time quality monitoring dashboards, automated statistical process control, and complete part traceability from raw material to finished goods. Machine learning models for predictive quality were integrated from the foundation.

The first plant went live in 4 months—a timeline that typically takes 18+ months for MES implementations. Learnings were fed back into Velocity-Forge™, which refined configurations for subsequent plants. By month 19, all 12 plants were running on the new system.

The results exceeded requirements: defect detection improved 45% through real-time monitoring, scrap rates dropped 30%, and the company not only retained their critical OEM contracts but won new business from customers impressed by their quality transformation.

"We were facing an impossible choice: lose major contracts or rush a critical system implementation. Velocity-Forge™ gave us a third option—quality delivery at unprecedented speed. The AI-generated architecture was so solid that our plant managers couldn't believe it was built in months, not years."
Chief Operations Officer
Automotive Parts Manufacturer

Key Results

  • 19 Months Implementation Time
  • 12 Facilities Plants Modernized
  • +45% Defect Detection
  • Retained & Expanded OEM Contracts

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