Overview
OPERATE is a digital shop-floor interface designed for operators and line supervisors to manage daily production activities. Optimized for tablets and kiosks, the application provides a centralized access point for real-time machine data and digital documentation. It serves as a bridge between physical operations and digital analysis by allowing personnel to view live performance metrics while simultaneously capturing manual inputs—such as downtime reasons or quality checks—directly into the plant data stream.
Feature Benefits
Mobile-Optimized Real-Time Access: Delivers live production data to tablets, kiosks, and laptops, allowing supervisors to monitor plant performance while moving through different process areas.
Standardized Digital Data Entry: Replaces manual logs with digital tools to capture production information, including equipment failure modes, root cause analysis, and Clean-Inspect-Lubricate (CIL) completion status.
Process Compliance Tracking: Facilitates the entry and monitoring of process centerline data, ensuring that equipment is running within specified parameters for optimal performance.
Automated Loss Tree Generation: Utilizes captured data to automatically populate loss trees, categorizing production losses without the need for manual tallying or retrospective reporting.
AI/ML Data Enrichment: Provides a platform for capturing human-labeled data, which is essential for training AI/ML models to generate future predictive and prescriptive maintenance recommendations.
Summary
OPERATE centralizes shop-floor data management into a single, mobile-responsive application. It enables operations teams to move from paper-based tracking to Digital Data Entry, capturing critical context like failure modes and centerline compliance in real-time.
By integrating Automated and Prescriptive Insights alongside live performance views, the tool helps teams identify the source of production losses immediately. Furthermore, by digitizing human observations, it creates the high-quality data sets necessary for IT and Data teams to build accurate predictive models, ultimately driving more efficient day-to-day manufacturing operations.