The ManIQ Method:

1. Quick Scan & Feasibility Check: We begin with a no-obligation assessment to understand your operations and identify potential areas for optimization.
2. Process and Data Assessment: Analyse control loops, sensor data, machine parameters, and historical trends to gain a comprehensive understanding of your production process.
3. Data Preparation and Analysis: Clean and structure data, then apply advanced analytics and machine learning to uncover hidden patterns and inefficiencies.
4. Model Development: Create tailored machine learning models for predictive control, quality optimization, or energy efficiency, ensuring transparency and clarity.
5. Control Strategy Design: Translate insights into practical control strategies, such as fine-tuning setpoints or adjusting control logic.
6. Implementation: Collaborate with your technicians to integrate optimized strategies into your automation systems and PLCs.
7. Testing and Validation: Rigorously test new controls in simulations or test setups to ensure safety and effectiveness.
8. Monitoring and Refining: Monitor results and fine-tune models and control logic based on real-time feedback to deliver long-term value.

    

Collaborative Implementation
We work closely with your automation team to review, test, and align recommendations—then implement improvements together for a safe and efficient rollout.