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Real Time Process Optimization Using Advanced Analytics
Sector:
Chemicals & Process – Digitalization
Technical Focus Area:
Digitalization & Process Optimization
About the Course
This course provides practical training in real-time process optimization using advanced analytics, covering how data-driven techniques are applied to continuously improve plant performance beyond what fixed control strategies achieve. It is designed for engineers responsible for process optimization initiatives.
Participants examine real-time optimization architecture, soft sensor development, and optimization algorithm selection, building the practical skills needed to support and sustain real-time optimization programs. Case examples illustrate optimization initiatives that delivered measurable plant performance gains.
Learning Milestones
By the end of this course, participants will be able to:
- Explain real-time optimization system architecture.
- Evaluate soft sensor applications for process optimization.
- Select appropriate optimization algorithms for a given problem.
- Identify high-value optimization opportunities in a process.
- Support real-time optimization system implementation.
- Measure the sustained value of optimization initiatives.
Professional Audience
This course is ideal for engineers responsible for process optimization, including:
- Process control and optimization engineers
- Process engineers
- Data analytics professionals in manufacturing
- Plant engineers evaluating optimization initiatives
- Technical managers sponsoring optimization projects
Modular Syllabus
Real-Time Optimization Fundamentals
- Real-time optimization concept and objectives
- RTO versus advanced process control distinctions
- RTO system architecture overview
- Economic optimization objectives
- Common RTO implementation challenges
Course Dates & Prices
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