Determining the scale and number of data for reliability sampling tests and data analysis methods.
S00921
New members registering for the first time by September 17 will pay 39,900 yen ★ Improving reliability requires data-driven improvements!
**Lecture Summary** As exemplified by recent recall issues, the impact of reliability problems on companies is immeasurable. Among various quality characteristics, reliability is the most fundamental, and companies are required to ensure reliability even while developing products in a short period. Reliability is determined by design. In other words, data-driven improvements are essential for enhancing reliability, necessitating appropriate testing scales, sample acquisition, and analysis. This course aims to introduce the basic methods for determining testing scales and data quantities, as well as analysis techniques, based on the concepts and foundational knowledge of reliability, targeting engineers involved in the design and improvement of reliability.
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【Keywords】 1. Reliability sampling test 2. Appropriate test scale 3. Impact of defects on companies 【Instructor】 Mr. Akihiro Harada, Director, Quality Assurance & Safety Environment Evaluation Department, Fuji Xerox Advanced Technology Co., Ltd. 【Venue】 Tekuno Kawasaki 4F Exhibition Hall 【Kanagawa, Mizonokuchi Station】 【Date and Time】 September 28, 2010 (Tuesday) 10:30 AM - 4:00 PM
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1. Towards Building Reliability 1.1 The Environment Surrounding Reliability 1.2 Reliability Improvement and Knowledge Management, etc. 1.3 Quality and Reliability 2. Fundamentals of Reliability 2.1 What is Reliability? 2.2 Measures and Indicators of Reliability 2.3 Failure Rate and Lifespan, etc. 3. The Role of Reliability Evaluation and Testing 4. Design of Reliability Tests 4.1 How to Determine Test Scale and OC Curve 4.2 How to Determine the Minimum Test Scale 4.3 How to Determine Sample Size, etc. 5. Reliability Data and Its Analysis Methods 5.1 Characteristics of Reliability Data and Analytical Considerations 5.2 Distributions Used in Reliability 5.3 Analysis of Lifespan Data 5.4 Weibull Analysis, Hazard Analysis, and Their Considerations, etc. 6. Models Used in Reliability and Representative Analyses [Q&A, Business Card Exchange]
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