Level: Intermediate
【Presenter】
Akira Hososhima, Representative, Tobayashi Consulting
[Announcement summary]
Nowadays, when work style reform is called for, the importance of improving the efficiency of experiments and analysis is increasing. To show the power of JMP to improve the efficiency of experiments, it is good to show that the number of experiments can be significantly reduced by replacing the experimental data with a definitive screening plan (DSD) or a custom plan. The response data at that time is picked up from the existing experimental data. When you find experimental data divided into multiple tables, perform multivariate analysis in one table, visualize it with a profile, and notice the pitfalls of the OFAT (One Factor at a Time) method. get. For the idea of analyzing repeated experimental data on average, we show that there are methods of multi-objective optimization and robust optimization by stacking processing and averaging / variance.
When design of experiments is used at the development site, the existence of interactions is often unpredictable, and interactions are not uncommon. DSD has no confounding of main effect and interaction (2FI) or confounding between 2FI, and the number of experiments is as small as about twice the number of factors. This is a big advantage. What I found using DSD, the failure that occurs when the number of main effects + the number of interaction terms approaches the number of factors, the solution by expansion plan, and the practically important in the DSD related papers obtained from the JMP community and ASQ. I will report on what I think.
[Presenter Profile]
Established Tobayashi Consulting after serving as FA Development Manager, Director Research and Development Headquarters, Director Quality Assurance Promotion Headquarters, and Azbil Kimmon Counselor at Yamatake Honeywell (currently Azbil). Specialized areas are yield improvement and quality improvement by production data analysis, general statistical problem solving such as market defect prediction, robust design, optimized design, experimental design, design review, root cause analysis method (RCA), human error On-site guidance such as prevention and process improvement. He is the author of "The Essence of Internet Business", Nikkan Kogyo Ren Publishing 2001 (co-authored) [Telecom Social Science Award], "Success Strategy of Practical Venture Companies", Chuokeizai-sha 2011 (co-authored), "Understanding" Problem Solving "Book" Nikkan Kogyo Shimbun 2014 (single work). The main paper is "Proposal of a workshop to promote the dissemination and acceptance of awareness of the production line's hearing hat and discomfort" Quality Management Society 2016 [Received the 2016 Quality Technology Award]. Main lecture "Proposal of a mechanism to visualize organizational factors that induce work mistakes and promote improvement" (Discovery-Japan 2018)
"Solving Quality Problems with JMP-Manufacturing Industry Defect Analysis and Reliability Prediction-" (Discovery-Japan 2019)
