What You Will Learn:

Upon completing the training, participants will develop extensive and versatile expertise, enabling them to:

• Design sophisticated experimental plans to study the influence of variables in unknown experimental domains.
• Precisely identify key parameters that impact product or process characteristics by quantifying their effects, including complex interactions.
• Utilize advanced statistical analysis to detect significant effects while developing empirical models to understand and anticipate the studied phenomena.
• Skillfully optimize factor settings to enhance process performance and quality while ensuring efficient resource utilization.
• Make informed decisions based on robust experimental data, thereby enhancing the accuracy and relevance of each strategic choice.
• Apply these skills in various process engineering contexts, allowing for adaptable and flexible application in diverse professional environments.

Program Courses:

The courses in this program are organized into modules as follows:

Cycle I: Introduction to Experimental Design

• Introduction to the methodology of experimental design
• Historical overview
• Experimental designs for parameter screening: Plakett & Burman designs
• Full Factorial Design (FFD)
• Fractional Factorial Design (FFD)
• Analysis of Variance (ANOVA)
• Regression Analysis
• Response Surface Design
• Center Composite Design (CCD)
• Box-Behnken Design
• Doehlert Design
• Case studies (Several cases in the form of projects implemented using this methodology in the Moroccan industry)
• Software-based analysis
• Real-life case study in practical exercises (Optimizing the launch of a projectile; CATAPULT)

Cycle II: Advanced Experimental Design

• Desirability Function and Multicriteria Response Handling
• Designs for Mixtures
• Mixture Designs and Constraint Concepts
• Screening Designs for Mixtures
• Optimal Designs and Project Constraint Handling
• D-Optimal Design
• A-Optimal Design
• Rapid Optimization Method: Simplex Method
• Case studies (Several cases in the form of projects implemented using this methodology in the Moroccan industry)
• Software-based analysis
• Real-life case study in practical exercises (Optimizing a cocktail)

Summary:

Whether in research, design, or production, experiments are essential for understanding the influence of factors on performance and outcomes. This is where "experimental designs" come into action, drastically reducing the number of trials required while improving the accuracy of the results obtained. This 6-day program in optimization through experimental design offers a comprehensive immersion in this crucial methodology. Participants will learn to master variables to optimize processes, make informed decisions, and transform their approach to process engineering. It's an opportunity to develop key skills to enhance the quality, profitability, and sustainability of industrial processes.

Description:

This advanced training program in optimization through experimental design is tailored for process engineering professionals aiming to increase the efficiency, quality, and profitability of their industrial processes. Through a skillful combination of real-world examples, hands-on workshops, and in-depth statistical analysis, the program enables mastery of experimental design, highlighting the interactions between variables and outcomes. A deep understanding of factor interactions is developed, along with the skills needed to confidently optimize processes. The program takes you on a 6-day immersive experience, divided into two distinct cycles. The first 3-day cycle lays the essential foundations, while the second 3-day cycle refines the newly acquired skills. The program's intensive learning environment is dedicated to introducing and then sharpening the skills of experimental design. This transformative opportunity will bring you closer day by day to mastering this vital methodology in process engineering. This journey will redefine your approach and skills in optimization.

Key Benefits:

Efficiency and Resources:

• Learn to optimize key variables to achieve more with fewer resources and less time.

Informed Decisions:

• Gain the ability to analyze experimental data to make rational and informed decisions.

Transferable Skills:

• Benefit from experimental design skills that are versatile and applicable in various engineering fields and beyond.

Improved Quality:

• Optimize your processes to produce higher-quality products.

Advanced Optimization :

• Apply experimental designs to advanced formulation processes and design advanced methodologies for optimal results.

Who Should Participate:

This program is designed for process and manufacturing managers, methods and production managers, R&D professionals, analysts, and all process engineering professionals looking to deepen their skills in optimization and experimental analysis. Participants should have a solid understanding and prior experience related to process engineering and statistics concepts.