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Practice 3

3. OPERATIONS IT-OT

Bridging OT Automation and IT Analytics

Real-time monitoring, process variability mitigation, and predictive equipment health. We bridge plant-floor operational technology with enterprise information technology and AI.

The Bedrocks of Our Practice

  • High-speed industrial data historians and real-time process monitoring
  • Advanced Process Control (APC) and multivariable predictive control algorithms
  • Enterprise MES, LIMS, and asset predictive maintenance integrations

Specialized Solutions & Modules

3.1 Plant Historian

High-frequency operational time-series data infrastructure, compression, and enterprise analytics.

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3.2 Advanced Process Control

Multivariable model predictive control to minimize process variability and maximize constraints.

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3.3 Manufacturing Execution Systems (MES)

Plant production scheduling, material tracking, yield accounting, and ERP integration.

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3.4 Laboratory Information Management (LIMS)

Automated sample workflows, testing instrument interfacing, and compliance reporting.

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3.5 Asset Predictive Maintenance

AI/ML vibration, thermal, and sensor anomaly detection to prevent unplanned outages.

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Measurable Business & Engineering Outcomes

Improved throughput and higher yields across operational units
Lower energy consumption and reduced maintenance costs
Design validation before capital is committed (Capex reduction)
Quicker project implementation cycle and commissioning
Enhanced operator competency & faster response to process upsets
Stronger regulatory compliance & improved sustainability footprint