SCW.AI's Maintenance Module's icon.

AI-Powered Maintenance Solution for Minimizing Costs and Unplanned Downtime

Soon to be Released

The Maintenance Module is an upcoming cloud manufacturing solution from SCW.AI, designed to increase factory runtime while reducing maintenance costs and scheduling time. Powered by machine learning, it will offer predictive maintenance to assign tasks efficiently to individuals or teams while balancing unplanned downtime and planned maintenance costs.

Its user-friendly digital interface will notify manufacturers of equipment and production line issues and provide a real-time dashboard for key maintenance metrics. The module also includes manufacturing analytics that reveal relationships between machine, environment, and user data with downtime. Additionally, a comprehensive checklist for each maintenance task ensures standardization of maintenance activities.

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Top Use Cases of Maintenance Module

  • Reduced Maintenance Costs:In some industries, maintenance costs can consume up to 40% of the operational budget and account for 30% of OEE losses. To combat this, manufacturers often implement total productive maintenance (TPM) principles. However, studies show that combining TPM with digital transformation can double its impact.
  • Harness AI for Maintenance Activities: AI/ML alone can decrease maintenance costs by up to 10%, cut maintenance scheduling time in half, and increase line availability by up to 20%.
  • Analyze Maintenance Activities with Real-Time Data: The Maintenance Module uses real-time data analysis to identify patterns, enabling proactive decision-making that minimizes unplanned downtime and optimizes maintenance efficiency.

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