Utilization of Experimental Design and Parameter Design for Improving Average Values - Reducing Variability and Deterioration
S10519
★Explaining experimental design methods and the Taguchi method (parameter design) from the basics to application examples! ★Real examples of improving variation and deterioration!!
Lecturer Mr. Kazuo Tachibana, Senior Advisor, Fuji Xerox Co., Ltd. - Publications "Introduction to the Taguchi Method," Nikkei Quality Control Literature Award winner, Nikkei Technical Research Institute; "Introduction to the MT System," same publisher; "How to Conduct Experiments and Data Analysis," same publisher. Target Audience: Those who want to learn experimental design methods and the Taguchi Method (parameter design) from the basics. Venue: Kawasaki City Industrial Promotion Hall, Room 2 [Kanagawa, Kawasaki Station] Date and Time: May 27, 2011 (Thursday) 9:30 AM - 4:30 PM Capacity: 20 participants. Please apply early as there may be a rush of applications. Participation Fee: 52,500 yen (including tax, lunch, and textbook costs) for up to 2 participants from one company. *New members who apply for the first time by May 13 will receive an early bird discount price of 47,250 yen. ◆ Early Bird Discount: Please select "1 slot for 2 participants: Early Bird Discount" during registration. ◆ If additional applications are made from the same organization, an additional fee of 12,600 yen per participant will be charged.
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basic information
Learn the experimental design methods and Taguchi methods (parameter design), which are essential for today's engineers, from the basics to practical applications.
Price information
52,500 *New members who apply for the first time by May 13 will receive an early bird discount price of 47,250 yen.*
Price range
P2
Delivery Time
P2
Applications/Examples of results
**Program** 1. Preparations for Learning Experimental Design 1-1 Common Approaches to "Poor Experiments" 1-2 Experiments and Errors 1-3 Statistical Treatment of Random Errors 1-4 Statistical Testing 2. Experimental Design 2-1 What is Experimental Design? 2-2 Fisher's Three Principles, Analysis of Variance 2-3 One-Way ANOVA and Data Analysis 2-4 Two-Way ANOVA and Data Analysis 2-5 Orthogonal Array Experiments and Data Analysis 3. Robust Design (Fundamentals of Parameter Design) 3-1 Noise and Robustness 3-2 What is Robust Design? 3-3 Experimental Setup in Robust Design 3-4 Robust Design for Static Characteristics 3-5 Robust Design for Dynamic Characteristics 4. Differences Between Robust Design and Experimental Design 4-1 Robust Design as an Extension of Experimental Design 4-2 Subtle Differences Between Robust Design and Experimental Design 4-3 Distinguishing Between Robust Design and Experimental Design 5. Reference Materials 5-1 Why Are Companies Implementing and Promoting Robust Design? 5-2 Examples of Companies Implementing and Promoting Robust Design 5-3 Reasons Companies Implement and Promote Robust Design **Q&A and Business Card Exchange**
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