Case Study

Green Bay Packaging

Green Bay Packaging Gets Ahead of Equipment Failures with AssetWatch

Solution
Vibration - Continuous
Industry
Pulp, Paper & Packaging

From Challenge to Solution

Every project comes with obstacles. Here’s how we identified the problem and built a solution that delivered lasting impact.

The Challenge

At Green Bay Packaging, keeping high-speed packaging lines running is critical. When one asset goes down, the impact can quickly spread across the operation, leading to downtime, scrap, missed shipments, overtime, and larger repair costs.

The team needed better visibility into critical equipment, especially assets like blowers, compressors, gearboxes, motors, and conveyors that support continuous production. Without early warning, a small issue like a bearing fault could turn into a much larger repair involving a shaft, motor, or entire blower assembly.

The Solution

Green Bay Packaging partnered with AssetWatch to monitor critical rotating equipment and identify developing issues before failure. With continuous vibration monitoring, the team gained earlier visibility into asset health across equipment that directly impacts uptime.

AssetWatch turned equipment data into actionable maintenance insights with a dedicated condition monitoring engineer. Instead of waiting for a failure or relying only on scheduled inspections, the Green Bay Packaging team could see when an issue was developing, understand which assets needed attention, and prioritize repairs before problems escalated.

That visibility that the insights provided gave the Green Bay Packaging team more control over how maintenance work was planned. Repairs could be addressed while they were still manageable, reducing the risk of collateral damage and helping the team focus resources.

Quantifying Success

The results show how earlier visibility can change the way maintenance teams plan, prioritize, and prevent equipment failures.

Earlier Issue Detection

Developing equipment issues identified before they turned into larger failures.

Reduced Repair Scope

Early warnings helped the team address smaller repairs instead of replacing larger components or full assemblies.

Improved Maintenance Planning

Condition-based insights gave the team more time to plan work, prioritize resources, and reduce reactive repairs.

Stronger Reliability Confidence

Early wins helped build confidence in predictive maintenance and reinforced the value of preventing problems before they start.

“We’d absolutely recommend AssetWatch to anyone looking to improve reliability and get ahead of maintenance issues.”

Dan Kropp Corporate Engineer - Eastern Region

Looking Ahead

Green Bay Packaging’s experience shows how predictive maintenance can help packaging teams protect uptime, reduce downtime risk, and prevent smaller equipment issues from becoming larger failures.

For high-speed packaging operations, the value comes from having the visibility to act early. With AssetWatch, Green Bay Packaging is better equipped to stay ahead of maintenance issues and keep critical equipment running.

See What AssetWatch Can Find Before Your Next Failure

Find this case study helpful? We’d love to share it with you!

Powering Predictive Insights with AWS

AssetWatch partnered with AWS to provide the scalability and reliability needed to support a serverless architecture. With a robust suite of services tailored for data ingestion, processing, and machine learning, AWS enables AssetWatch to seamlessly scale sensor data and deliver predictive insights to manufacturing companies.

AWS infrastructure reduces operational overhead and allows AssetWatch to focus on innovation to drive value to our customers. Additionally, AWS’s strong security framework and global infrastructure ensure the resilience and compliance required to support mission-critical manufacturing operations at scale. This partnership positions AssetWatch to accelerate growth while maintaining the highest levels of performance and reliability.

Modern glass office building with AWS logo on the top corner against a clear blue sky.

See What AssetWatch Can Find Before Your Next Failure

No items found.

More Case Studies

Discover how our customers achieve an impressive 8x ROI through our insightful case studies.

AssetWatch AI Delivers Digital Transformation Across Division
Documented Result
Savings

$2M+

How much could you save by using AssetWatch?