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Challenges facing chemical operations
The process industries operate under constant pressure to improve efficiency, reduce waste, maintain quality and do more with limited operational visibility.
Cost and efficiency pressure
Small inefficiencies in dosage, flow balance, yield or process stability can create major impacts on chemical usage, energy consumption, downtime and product quality.
Rising operational complexity
Modern chemical facilities generate huge volumes of operational data across control systems, PLCs, spreadsheets, lab systems and manual workflows. But visibility often remains fragmented leading to reactive decision-making.
Limited instrumentation
Many critical process variables cannot be measured directly or viably in real-time, leaving engineering teams reliant on estimates, manual calculations or delayed lab analysis. Inaccuracies can lead to poor decision-making and investment choices.
Engineering knowledge trapped in silos
Critical operational understanding often lives in spreadsheets, custom calculations or in individual engineers’ heads, making optimisation difficult to scale across teams and facilities.
Eigen Ingenuity helps industrial chemicals manufacturers and facilities make better business decisions
Use Cases
Eigen has spent the past five years working with process engineering teams to turn fragmented industrial data into actionable operational insight with configurable dashboards, powerful calculation engines and low-code engineering-focused workflows.
Over the past decade we have worked with many chemicals operators to solve their operational and cost challenges:
- Digitalising complex process flows
- Calculating virtual flow rates
- Real-time operations monitoring
- Automating trending & reporting
- Optimising chemical usage
Digitalising complex process flows
Eigen helps teams structure operational data, automate process tracking and improve visibility across equipment utilisation, process performance and batch quality.
- Batch process monitoring
- Process anomaly tracking
- Performance management
- Quality optimisation
Calculating virtual flow rates
Eigen’s calculation engine can combine multiple operational data sources to create virtual flow measurements and derived engineering values in real time.
Common applications include:
- Chemical flow estimation
- Mass balance calculations
- Utility monitoring
- Derived production KPIs
Real-time operations monitoring
Eigen’s dashboards provide engineers and operators with live process views, alerts and trend analysis to support faster operational decision-making.
Common applications include:
- Process condition monitoring
- Operational alerts
- Multi-site visibility
- Early issue detection
Automating trending & reporting
Eigen can automate data aggregation, calculations and reporting workflows using live operational data sources, saving engineers hours if not days of tedious work. Users can configure their own dashboards and reports without relying on expensive consultants or vendors.
Common applications include:
- Automated production reporting
- Chemical usage trending
- KPI dashboards
- Engineering summaries
- Performance tracking
Optimising chemical usage
Eigen enables real-time monitoring and optimisation of industrial chemicals using operational data, engineering calculations and configurable, low-code workflows.
Common applications include:
- Chemicals optimisation
- Concentration management
- Process improvement
- Cost reduction
- Compliance support
Why engineering teams like Eigen Ingenuity?
Eigen has helped chemical manufacturing and process industry leaders solve complex process, monitoring and optimisation challenges using engineering-led industrial software.
1. Configurable workflows
Automate engineering tasks without custom software
2. Data Connectors
Integrate with third party historians, databases and operational systems
3. Operational visibility
Real-time dashboards for engineers and operators
4. Contextualised data
Connect assets, calculations and operational relationships
5. Engineering calculations
Configurable derived values, models and logic