Design of Experiment (DOE)
The Design of Experiment (DoE) is a rigorous method, regarded as the most accurate and unequivocal standard for testing a hypothesis. A well-designed and constructed experiment will be robust under questioning, and will focus criticism on conclusions, rather than potential experimental errors. A sound experimental design should follow the established scientific protocols and generate good statistical data. As an example, experiments on an industrial scale can cost millions of dollars (or pesos). Repeating the experiment because it had poor control groups, or insufficient samples for a statistical analysis, is not an option. For this reason, the design phase is possibly the most crucial.
Training Objectives: To develop the knowledge and skills necessary to design, conduct and analyze experiments of process improvement outcomes. This course is designed with lecture, samples, and workshop exercises, including use of Minitab to cover basic principals of experimental design and their applications to quality and productivity improvement projects. Target Participants: This training is especially useful for individuals who want to understand and apply a collection of formal experimental procedures specifically designed to identify optimal process conditions. Quality Practitioners/Supervisors/Managers, Six Sigma Black Belts and those assigned responsibility for leading quality and productivity improvement teams will benefit from participating in this training.