JMP Data-Analysis Problem Solving
- Duration: 2 days
- Type: Industrial and Hi-tech organization
- Availability: Public Courses, Company site
Description
This course explores how long a system or component (hardware) perform its required functions within acceptable conditions for a specified period of time. It focuses on combination of industry-leading Six Sigma tools and JMP statistical software for in-depth data analysis and solutioning. Participants will learn how to utilize these statistical tools, techniques, and methodologies required to achieve optimum hardware design and quality enhancements.
Throughout this training, participants will be exposed to a variety of key, practical problem-solving tools and techniques, relevant real-world applications and hi-tech examples, hands-on JMP software exercises and tutorials to ensure rapid learning and knowledge retention. This learning includes how to: design an accelerated life test, estimate reliability or survival measures, compute non-normal estimates of failure probability, optimize fit distribution models specific to life data, and reliability in repairable and non-repairable systems.
What Participants Will Learn
-
Introduction to Reliability Engineering
- Reliability concepts and terminology
-
Compute minimum sample size for reliability determination + JMP Example Exercises
- Life distribution and probability statistics + JMP Example Exercises
-
Design accelerated life testing + JMP Example Exercises
-
Reliability analysis for repairable systems + JMP Example Exercises
-
Reliability analysis for non-repairable systems + JMP Example Exercises
-
Degradation studies + JMP Example Exercises
-
Reliability forecasting + JMP Example Exercises
Participant Qualifications
-
Engineers, scientists, researchers and analysts who perform reliability or survival studies
Laptop Requirement
- Windows or Mac with all current Service Releases
- Statistical software JMP 17+
Price
- Call for quote
Prefer Customized Training at Your Location?
Call for Details: +1 647.781.2280