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Case Study

Boosting Factory Performance with AI-Powered Analytics for T-1 Automotive Supplier

A Tier 1 automotive supplier lacked real-time equipment monitoring and relied on manual reporting, with inconsistent quality and limited traceability. iMEX added monitoring, preventive maintenance, digital quality assurance and traceability.

Engagement at a glance
Client
Global Tier 1 automotive supplier
Industry
Automotive
Solution
ITHENA iMEX Smart Manufacturing
Scope
Performance monitoring, preventive maintenance, digital quality assurance, traceability
Headline result
26% less energy consumption
Opportunity for impact

Three numbers the plant moved.

Results after iMEX went live on the client's lines.

25%

Boost in equipment performance

Real-time monitoring and preventive maintenance improved how equipment performed.

13%

Rise in production quality

Digital quality checks made output more consistent.

26%

Reduction in energy consumption

Energy data exposed waste and supported sustainability targets.

About the client

Meet the organization and understand the context behind the transformation.

A global leader in mobility technology and automotive supply, known for their innovative approach to design,engineering and manufacturing. To address challenges like limited real-time monitoring, manual data reporting, and inconsistent quality control, they partnered with ITHENA. By implementing the iMEX Smart Manufacturing solution, the company achieved enhanced operational efficiency, improved equipment performance, and greater traceability throughout the production cycle, all while boosting sustainability efforts and ensuring top-tier product quality.

In their words
iMEX provided us with real-time insights into production, reducing downtime and improving machine efficiency. The AI-driven maintenance and traceability system streamlined operations, helping us maintain consistent quality and reduce energy consumption. This solution has had a significant impact on our productivity and profitability.

Vice President, Manufacturing Operations
Key challenges faced

Quality and energy left to chance.

Monitoring and reporting were manual, and quality and traceability were inconsistent.

  • Lack of real-time equipment monitoring
  • Manual data collection and reporting
  • Limited visibility into production performance
  • Limited traceability of materials, products, and scrap produced
  • Inconsistent quality control
  • Sustainability concerns
Our solution

How ITHENA closed the gaps.

ITHENA deployed iMEX, Smart Manufacturing solution.

Performance Monitoring

Implemented persona-based dashboards to monitor OEE, identify bottlenecks, and analyze machine health and downtime in real time

Preventive Maintenance

Utilized an AI/ML-powered solution to automate data collection and schedule maintenance

Digital Quality Assurance

Provided digital insights into product quality, ensuring consistent results and minimizing scrap waste

Traceability System

Deployed system to track materials and products, throughout the production cycle, improving transparency and accountability

Inside the console

Quality, energy and traceability in one view.

An illustrative iMEX view: weld cells and presses monitored live, with scrap traced back to its cause.

imex.ithena.app/plants/stamping-welding
miMEX PlantsQualityEnergyTraceability 3 OP
Plants/Stamping and welding/Last 24 hours
Weld cell signals and energy draw, last 24 hours2 alerts flagged
ALERT THRESHOLD 00:0012:0023:00
Weld currentEnergy drawFirst pass qualityAlert, maintenance raised
Material, product and scrap traced across lines · 09:41:07
Since iMEX went liveLive
26%Energy consumption, down
25%Equipment performance, up
13%Production quality, up
96Machines connected
Scrap by cause this week, share
Weld spatter31%
Dimensional26%
Surface19%
Material14%
Other10%
Line activity3 new
Weld current high on cell 6, maintenance raised7m
Digital quality check passed for batch 228125m
Energy draw above plan on press line 21h
Scrap traced back to one coil lot2h
Sustainability report updated3h

Illustrative view. Unit names, counts, shares and activity are examples; the headline results are the client's.

Make every part traceable.

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