Unlock the Power of Industry 4.0 with EdgeMethods OEE AI

EdgeMethods presents OEE AI, an advanced Industry 4.0-aligned solution designed to significantly improve operational efficiency and reduce dynamic losses. Leveraging AI-driven analytics and machine learning, OEE AI provides unparalleled insights and optimisation capabilities for manufacturing environments.

Transform Your Operational Efficiency

Traditionally, OEE has been used to measure manufacturing productivity, but OEE AI takes this concept to the next level. Our solution uses advanced machine learning models to automate ideal cycle times and reason code capture, offering a revolutionary approach to operational efficiency. By utilising AI and ML algorithms, OEE AI provides deeper insights and automated solutions in real-time, making it the new standard in OEE.

By leveraging OEE AI, manufacturers can:

• Gain Deep Insights: Understand every aspect of production in real time, uncovering hidden inefficiencies and optimisation opportunities.
• Eliminate inefficiencies: Automatically detect and address operational losses and downtime with AI-driven analytics.
• Drive Sustainable Improvements: Implement data-driven strategies to boost productivity, reduce costs, and maintain high-quality standards.

Tangible Benefits

• Increased Productivity: Improves production output by reducing cycle times and minimising operational inefficiencies.
• Operational Efficiency: Enhanced operational efficiency, reducing overall production time which contributes to continuous improvement.
• Cost Savings: Assigns monetary value & OEE output production KPIs to losses, helping manufacturers understand the financial and environmental impact.
• Carbon Savings & GHG reductions: Achieves significant reductions in GHG emissions through targeted operational improvements and energy optimisations.
• Enhanced Product Quality: Maintains high product quality through automated adjustments and continuous monitoring.

Performance KPI Analysis – evaluate key business performance indicators such as: