top of page

Food Manufacturing

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.

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.

https://indata.ink/MachineData

Full Story:

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.

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.

https://indata.ink/Reports-BI

Full Story:

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.

Rapidly increasing system reliability and accuracy through AI / ML feedback mechanisms and adaptive learning, resulting in less downtime and greater surge capacity.

https://indata.ink/AI-ML

Full Story:

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.

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.

https://indata.ink/HMI-Sched

Full Story:

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

Seamless integration of recipe and schedule data from ERP systems into factory floor processes, enabling better visibility, transparency, and control over valuable business intelligence

https://indata.ink/ERP

Full Story:

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.

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.

https://indata.ink/Energy-OEE

Full Story:

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.

Automated eForm data ingestion, including visual and audio data, with batch processing for improved efficiency and data resolution.

https://indata.ink/eForms

Full Story:

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

Automated and self-healing data pipelines that ensure extended uptime without significant intervention, streamlining data transfer between MES and SCADA systems

https://indata.ink/MES

Full Story:

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

Enabling staff to drive data collection without requiring them to understand complex systems and providing accessible tools for data analysis

https://indata.ink/SCADA

Full Story:

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

Consistent product quality, streamlined production processes, and improved traceability through the implementation of recipe control and quality tracking systems

https://indata.ink/Recipe-Control

Full Story:

bottom of page