A Global Manufacturing Company Optimizes Production and Reduces Downtime with Advanced Analytics and Predictive Insights

Challenge

The customer faced frequent machine downtime due to paper roll breaks and lacked integrated data insights, risking significant revenue loss and knowledge gaps as experts retired.

Solution

The solution involved implementing an advanced analytics approach using an operations data lake, enabling the customer to gain predictive insights, optimize processes, and forecast machine failures 60-90 days in advance, reducing unplanned downtime.

Benefits

• Reduced Downtime
• Improved Efficiency
• Cost Savings
• Knowledge Retention

“We are using AWS data-analysis technologies to predict … precisely how fast converting lines should run to avoid tearing. By reducing paper tears, we have increased profits by millions of dollars for one production line.”

Vice President of IT/Digital Transformation

Tools Used for Building the Solution on GCP

• Amazon Kinesis
• Amazon SageMaker
• Amazon Redshift
• Amazon Simple Storage Services (S3)
• Amazon ElesticMapReduce
• Amazon Athena