PB-08 Problem Solving – Design of Experiment (DoE) training programme

Status:
Scheduled
Start Date:
January 1, 1970
End Date:
January 1, 1970
Location:
Trainer:

Design of Experiments (DoE) Training Programme

Master the science of data-driven decision making.
This 2-day course equips participants with the skills to plan, execute, and analyze Design of Experiments (DoE) for process and product quality improvement. Learn how to uncover complex variable relationships, optimize performance, reduce variability, and make confident, evidence-based decisions.

Learning Outcomes

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

    • Understand key terminology, strategies, and methodologies of DoE
    • Outline and apply steps for 2-level full and fractional factorial designs
    • Create design matrices for experimental planning
    • Analyze and interpret results using Minitab Statistical Software
    • Draw conclusions for screening and optimization purposes

Training Methodology

A practical and engaging approach combining:

    • Expert-led lectures
    • Interactive discussions
    • Group exercises

Pre-requisites

Participants should have:

    • A basic technical background, or
    • 2–5 years of experience in any business operations discipline

Duration

2 Days

Who Should Attend

This course is ideal for:

    • Executives
    • Engineers
    • Managers

From manufacturing, service, or transactional sectors seeking to enhance their analytical and problem-solving capabilities.

Course Outline

Day 1: Foundations of DoE

    • Introduction to DoE terminology and principles
    • Coding factor levels and creating design matrices
    • Understanding repeats, replicates, randomization, and blocking
    • Exploring design generators, confounding, and resolution

Day 2: Practical Application

    • Step-by-step execution of 2-level full and fractional factorial designs
    • Defining problems, objectives, outputs, and factors
    • Building and analyzing design matrices
    • Drawing conclusions for screening and optimization
    • Conducting confirmation runs

Ready to elevate your process improvement skills?
Join our DoE training and unlock the potential of statistical experimentation for smarter, faster decisions.

Register Training