Design of Experiments
This collection of materials introduces the concept of Design of Experiments (DOE) as a methodology for operational excellence. The content outlines a structured approach to experimentation, moving from problem identification and basic experimentation methods like Trial and Error and One-Variable-At-a-Time (OVAT) to more sophisticated techniques. It then progresses to Full Factorial DOE, which systematically examines all factor combinations, and subsequently to Fractional Factorial DOE, a more efficient method that sacrifices some interaction information for reduced testing. The X Pult simulation is consistently used as a practical, hands-on exercise throughout the sessions to illustrate these experimental design principles and their application in achieving consistent and accurate results. The sessions also cover essential terminology like replicates, randomisation, and blocking, along with tools and templates for data collection and analysis.