Context Setting

Design of Experiments (DoE) is a powerful statistical tool used to identify the relationship between factors affecting a process and the output of that process. In industries where product quality, process efficiency, and cost optimization are critical, DoE enables professionals to make informed decisions with confidence. This course introduces participants to the foundational concepts of DoE and its practical implementation using Minitab, equipping them with the ability to design and analyse experiments effectively and efficiently

Objective

<!--[if !supportLists]-->·         <!--[endif]-->To introduce participants to the core principles and methodology of Design of Experiments.

<!--[if !supportLists]-->·         <!--[endif]-->To compare DoE with traditional one-factor-at-a-time experimentation and highlight its advantages.

<!--[if !supportLists]-->·         <!--[endif]-->To enable participants to design and conduct full and fractional factorial experiments.

<!--[if !supportLists]-->·         <!--[endif]-->To provide hands-on training in Minitab for designing experiments and analysing data.

<!--[if !supportLists]-->·         <!--[endif]-->To help participants interpret experimental results and make data-driven decisions.

Key Takeaways

By the end of the program, participants will be able to:

<!--[if !supportLists]-->·         <!--[endif]-->Understand the fundamental principles and benefits of DoE.

<!--[if !supportLists]-->·         <!--[endif]-->Identify when and how to use different types of factorial designs.

<!--[if !supportLists]-->·         <!--[endif]-->Apply statistical methods to design and analyse experiments using Minitab software.

<!--[if !supportLists]-->·         <!--[endif]-->Interpret outputs such as main effects, interaction plots, and ANOVA tables.

Enhance problem-solving and decision-making skills in quality improvement and process optimization

Participation Fees

Who Should Attend / Target Audience

Venue

Online via Microsoft Teams

Coordinator