Duration: 3 days
Introduction：
DOE (Design of Experiments) is a scientific method of researching and studying the relationship of many factors and response variables. By selecting reasonable experimental conditions, reducing the number of experiments for as much as possible, and efficient data analysis, DOE can find the optimal improvement scheme. Therefore, proper use of DOE can help enterprises shorten research and development time, reduce experimental costs, and predict product or process performance by the precise statistical model, thereby optimizing the setting of process parameters and improving key product performance.
Purposes：
• Systematically, comprehensively, and step-by-step learn various experimental design types and analysis methods.
• Improve understanding of design and analysis of experiments, avoid solving problems by speculation.
• Learn operational steps of design and analysis of experiments through various practical case studies.
• Apply the tools of experimental design and analysis to daily work, to improve product quality, design, and production efficiency.
Participants：
• Analysts who are responsible for the implementation of DOE.
• Engineers and managers from departments of R & D, quality, production, engineering, process, and so on.
• Consultants, or scientific research personnel focusing on quality management, continuous improvement, and Six Sigma management.
• Teachers and students from industry engineering and management school.
• Anyone interested in the JMP design of the experiment is welcome to participate.
Distinguishing Features：
• Linking theory with practice, building a comprehensive DOE system framework, gaining hands-on experience on DOE through case studies from typical scenarios in the manufacturing industry
• In addition to classical DOE, advanced DOE techniques and new concepts such as custom design, definitive screening design (DSD), augment design, space filling design, and functional DOE would be introduced
• Utilizing JMP visualization features (graph builder, prediction profiler, contour profiler, surface profiler, mixture profiler, Monte Carlo simulator, design space profiler, etc.) to improve analytical efficiency throughout the course
• Enjoy the privilege of experiencing the latest version of JMP Pro 18 for free to optimize training efficiency and understanding of cutting-edge functionalities
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