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- Solution Implementation Services™:
- Optimize Plant Productivity:
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- Regulatory Control Stabilization:
- Advanced Process Control / MVC:
- Advanced Process Control / BPC:
- Control Room Design:
- Advanced Process Control / Multi Variable Control
Advanced Process Control / Multi Variable Control
Why is APC / MVC important?
Multi-variable control (MVC) enables optimum process stabilization, resulting in increased productivity. Yokogawa MVC provides predictive control using process cross-correlation, which is proven to increase throughput, save energy, and reduce quality giveaway. As the MVC control strategies vary for each process unit, consultation by experienced APC engineers is essential for the successful implementation.
What are the advantages?
Yokogawa has the rich experience and know-how to provide outstanding consulting & engineering implementation services. Over the past 20+ years, Yokogawa has provided more than 500 APC licenses and consulting & engineering services for a variety of process units. Yokogawa, as a DCS supplier, understands that better integration with APC and DCS results in more profitable operations and that regulatory control stabilization is important as a baseline for a control hierarchy.
DMAIC
Yokogawa's Advanced Process Control / MVC service is based on standardized Six Sigma DMAIC methodology. This provides clear and effective steps to achieve a defined target while ensuring consistent and high levels of service quality.
*1: DCS engineering will be proposed as required.
*2: This service is based on Exasmoc and Exarqe.
*3: This service is executed on one cycle of the above DMAIC step.
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Define target, e.g. - Throughput up: 3% - Steam consumption reduction: 5% - Fuel consumption reduction: 5% Basic design - Control strategy - Number of controllers - Controller configuration - Variables (control, manipulated, disturbance, and economic) - Estimated qualities |
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Gather baseline data Review and improve regulatory control Conduct plant test and gather response data for MVC modelling Gather historical process data and quality data for quality estimator modelling |
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Detailed design - Modelling - Configuration - Simulation and initial tuning |
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Modify DCS*1 - Switch, sequence, graphics, etc. Implement MVC and quality estimator Commissioning - Controllability check - Fine tuning |
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Measure and analyze improved data Issue improvement report e.g. - Throughput up: 3.5% - Reduction of standard deviation of quality: 50% - Reduction of manual interventions: 150 times per day |
*1: DCS engineering will be proposed as required.
*2: This service is based on Exasmoc and Exarqe.
*3: This service is executed on one cycle of the above DMAIC step.
