What challenges did Toray Plastics (America) Inc. face before AI implementation?

Reduce instability in manufacturing lines caused by film breaks. Minimize costly downtime affecting production quality. Lower material waste due to manufacturing disruptions.

What was the impact of the AI solution?

Production uptime increased from mid-80% to over 90%. Hundreds of thousands of dollars were saved due to reduced downtime and waste. Production quality was improved by preventing film breaks and related disruptions.

Source

MicrosoftProductionEvidence: Medium65/100

TwinThread Predictive Operations Center for Toray Plastics Manufacturing Downtime Reduction

Use case typePredictive maintenanceUpdated Jun 13, 2026

Toray Plastics (America) Inc. faced challenges with manufacturing line instability and costly downtime caused by film breaks, which impacted production quality and resulted in waste. The company needed a solution to reduce downtime and improve overall manufacturing efficiency.

Organization: Toray Plastics (America) Inc.
Industry: Manufacturing
Location: United States
Published: January 2026

Reported outcomes

+90%

timeTime & speed

+80%time

Strategic outcomes

New product / capabilityImplemented predictive operations monitoringBetter decisions & insightEnabled actionable operational insightsCustomer experience & trustImproved production qualityCost efficiencyReduced downtime and waste

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 80% increase

Microsoft Partner Case StudiesJan 1, 2026Case studyInferred claimMedium evidence strength

Production uptime increased from mid-80% to over 90%.

Normalized claim

Time: 90% increase

Microsoft Partner Case StudiesJan 1, 2026Case studyInferred claimMedium evidence strength

Production uptime increased from mid-80% to over 90%.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Toray Plastics (America) Inc.
Provider: Microsoft
Maturity: Production
Linked source: Microsoft Partner Case Studies

Microsoft Power BI is used for visualizing data and operational metrics

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 1 of 1

1Predictive Maintenance

Reduce instability in manufacturing lines caused by film breaks.
Minimize costly downtime affecting production quality.
Lower material waste due to manufacturing disruptions.

TwinThread, a Microsoft partner, implemented the Predictive Operations Center on Microsoft Azure.
The solution uses Microsoft Azure Machine Learning models, Azure IoT sensors, Azure SQL Database, Azure App Service, and Azure Kubernetes Service to monitor manufacturing processes in real time.
The system provides predictive analytics and anomaly detection to give engineers actionable insights before issues cause downtime.
Microsoft Power BI is used for visualizing data and operational metrics.

Technologies

Azure Machine Learning Azure IoT Azure SQL Database Azure App Service Azure Kubernetes Service Microsoft Power BI

Production uptime increased from mid-80% to over 90%.
Hundreds of thousands of dollars were saved due to reduced downtime and waste.
Production quality was improved by preventing film breaks and related disruptions.

Architecture

TwinThread's Predictive Operations Center integrates Azure Machine Learning for predictive analytics, IoT sensors for real-time data, Azure SQL for data storage, Azure App Service and Kubernetes for scalable processing, and Power BI for visualization.

Sources & evidence1

Evidence: Medium65/100Evidence strength