Industrial Data Engineering
Industrial data engineering has evolved significantly over the years, transforming from a niche specialization within electrical engineering and IT to a distinct and critical engineering field in its own right.
As the world of manufacturing and industrial processes has become increasingly digitized, the need for skilled professionals who can develop, manage, and optimize data pipelines from the factory floor to higher-order systems has grown exponentially.
Scroll for a sample of some of our projects and how they can improve your world.
Machine Runtime Data: Unlock the Full Potential of Your Equipment
In today's competitive manufacturing landscape, having access to real-time machine runtime data is crucial for maximizing productivity and reducing downtime. By connecting directly to machine control systems, businesses can extract valuable data such as runtime, repeats, power usage, motor effort, temperatures, and other runtime conditions. This data can then be utilized to optimize equipment performance, minimize energy consumption, and improve overall efficiency.
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Unleashing the Power of Reporting and Business Intelligence in the Industrial Sector
Streamlined data management, improved data-driven decision-making, and enhanced operational efficiency through the implementation of a comprehensive industrial data management plan and data lake.
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Harnessing the Power of AI and ML for Improved Industrial Processes
Rapidly increasing system reliability and accuracy through AI / ML feedback mechanisms and adaptive learning, resulting in less downtime and greater surge capacity.
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Enhancing Production Efficiency with HMI-driven Scheduling
Removal of manual or paper-based scheduling and increased efficiency. Greater visibility of production metadata such as production order start/stop times, OEE attribution, and productivity insight.
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Bridging the Gap between ERP Systems and Factory Floor
Seamless integration of recipe and schedule data from ERP systems into factory floor processes, enabling better visibility, transparency, and control over valuable business intelligence
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Electrical Power Analysis and Overall Equipment Effectiveness (OEE)
The integration of electrical power analysis with OEE measurement provides a data-driven approach to optimize operations, resulting in improved energy efficiency, enhanced equipment performance, and increased overall productivity.
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Streamlining Data Collection in the Field with Mobile Forms
Automated eForm data ingestion, including visual and audio data, with batch processing for improved efficiency and data resolution.
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Building Robust Data Pipelines for MES and SCADA Integration
Automated and self-healing data pipelines that ensure extended uptime without significant intervention, streamlining data transfer between MES and SCADA systems
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Leveraging SCADA Systems for Data Collection and Analysis
Enabling staff to drive data collection without requiring them to understand complex systems and providing accessible tools for data analysis
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Recipe Control and Quality Tracking for Small Batches
Consistent product quality, streamlined production processes, and improved traceability through the implementation of recipe control and quality tracking systems
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