Case Study: Using IoT Sensors to Digitalize & Improve Manufacturing Productivity

 

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Introduction: From Manual Chaos to Smart Productivity

Silent Infotech stepped in at that point. We helped the manufacturer move from making educated guesses to making data-driven decisions by integrating non-invasive IoT sensors in manufacturing with a smart ERP dashboard. This improve 

Silent Infotech stepped in at that point. We helped the manufacturer move from making educated guesses to making data-driven decisions by integrating non-invasive IoT sensors in manufacturing with a smart ERP dashboard. This improved equipment efficiency, decreased downtime, and made predictive maintenance possible.

The outcomes? real-time operational visibility, a significant 18% increase in productivity, and a 25% reduction in downtime.  

Introduction: From Manual Chaos to Smart Productivity

Client Overview

The client, a mid-sized German manufacturer of automotive components, runs a 70,000 square foot facility that specializes in making high-precision metal parts. They take pride in quality and supply Tier-1 OEMs, but their antiquated monitoring systems caused them to struggle with efficiency bottlenecks.

Challenges

  • No real-time machine visibility, making it challenging to identify production delays or inefficiencies.Slow reaction times and decreased shop floor productivity resulted from this.
  • Unexpected equipment failures heightened downtime and disturbed workflows.Issues were only resolved after breakdowns due to a lack of preventive systems.
  • Absence of actionable analytics held back improvement efforts. The team couldn’t benchmark or track key productivity metrics effectively.
  • Manual tracking of machine data was time-consuming and prone to errors. Decision-making and performance analysis became slowed down as a result.
  • Supervisors had no centralized data access, restricting production control. Instead of live performance insights, they depended on sporadic updates.

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Solutions By Silent Infotech

  • IoT sensors were deployed across machines to track uptime, cycles, and conditions in real time. 
  • This gave complete shopfloor transparency to managers and operators.
  • Predictive alerts were set up to detect anomalies like overheating or vibration spikes. This enabled timely maintenance before breakdowns occurred.
  • Custom analytics tools were built to find patterns and areas where performance is lacking. The client was able to decrease waste and increase throughput thanks to these revelations.. ​
  • P​roduction logs were automated using live sensor feeds, eliminating human error. Teams could now rely on consistent, accurate operational data. 
  • Live dashboards were integrated with ERP, offering real-time machine status and output. Supervisors could monitor productivity and downtime instantly.

Results & Impact

In just 3 months, the factory saw tangible improvements

18%

Increase in equipment effectiveness

25%

Reduction in downtime
 

40%

More accurate maintenance scheduling

95%

Live visibility into production vs. targets

Core IoT Use Cases Applied ​

Asset Tracking & Condition Monitoring

Asset Tracking & Condition Monitoring

Sensors reduced maintenance guesswork by continuously monitoring the health of the machine.

Predictive Maintenance

Predictive Maintenance

Historical trends + sensor data enabled timely interventions before failure.

Production Flow Monitoring

Production Flow Monitoring

Live cycle-time data allowed shift managers to quickly adjust line schedules and workloads.

Inventory Optimization

Inventory Optimization

IoT enabled intelligent triggers for reorders, restocking, and warehouse movement by connecting machines to ERP.

Worker Safety & Compliance

Worker Safety & Compliance

To guarantee compliance and safeguard workers, sensors tracked environmental factors like temperature and air quality.

Conclusion

An operational excellence success story emerged from what began as a visibility and manual operations challenge. This project demonstrates how even legacy manufacturing facilities can transform into intelligent, flexible systems that are prepared to compete in the Industry 4.0 era with the correct tech stack and customized strategy

An operational excellence success story emerged from what began as a visibility and manual operations challenge. This project demonstrates how even legacy manufacturing facilities can transform into intelligent, flexible systems that are prepared to compete in the Industry 4.0 era with the correct tech stack and customized strategy.

Ready to Turn Your Legacy Facility Into a Smart Factory? 

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