Date/Time: Date(s) - 14/09/2022 - 16/09/2022( 8:00 am - 5:00 pm )
Location: Malaysia, Kuala Lumpur

Objectives

• Understand the issues and principles of response surface methodology in optimizing a process
• Know the first order and second order response surface how to find the direction of steepest ascent (or descent) to maximize (or minimize) the response
• Know how to deal with several responses simultaneously (Multiple Response Optimization)
• Look for the factor level combinations that give the maximum yield and minimum costs in a refinery setting

Training outlines

Factorial Design (FD)

• Terminology
• Level of independent variable (IV)
• FD main effect and interaction
• Interpreting tables & graph
• First and second order response designs
• FD examples

Analysis of Variance (ANOVA)

• Regression models
• Least squares estimation
• Regression sums of squares and inferences
• Lack of fit
• One and two way ANOVA
• Methods for the analysis
• F and t tests

Response Surface Methodology (RSM)

• RSM one variable
• Multi factor design
• Central Composite Design (CCD)
• Box-Behnken
• 3 Level factorial
• Fractional design
• D-optimal

RSM Optimization

• Application of RSM in refinery processing
• Optimization of response functions
• Locating the optimum response
• Ridge analysis
• Refinery case study

Training Methodology

• Case Studies
• Individual and group discussions and exercises
• Intensive training by using templates, diagrams and charts
• Planning activities and presentations
• Self Assessments
• Action plan

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