This is an introductory course to the subject matter in the field of Reliability Engineering. During this four-day course participants will review the basics of reliability, the fundamentals of reliability engineering, and the relationship between reliability, maintenance and operations. Students will learn about reliability theory, tools and techniques such as risk management, data mining, Bad Actors, life data distribution analysis, RCA, RCM, criticality, etc. In addition Weibull analysis, Reliability Growth (Crow-AMSAA) and Production Analysis will be reviewed and the foundational concepts and tools will be applied in hand-on exercises to demonstrate and reinforce best practice. The overall course objective it to introduce students to the basics of reliability engineering and equip them to apply common reliability tools to real world problems.
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Please note: This is a fundamental concepts course but software will be used to illustrate these concepts students will need to bring their own computer to work through the examples. The software will be run in the cloud so no software will be installed on the student’s computer (as this is sometimes a problem).
- Understand the fundamentals of reliability
- Introduce students to the Reliability Engineering body of knowledge
- Recognize the reliability engineering
- Increase knowledge about statistical analysis tools
- Apply Weibull Analysis, Reliability Growth and Production Analysis tools
- Reinforce the reliability concepts by hands-on examples
Course Text (Included with the course)
Practical Reliability Engineering by Patrick O’Conner
The New Weibull Handbook by Dr. Robert Abernathy
Who should attend:
This course is designed be applicable to cross functional group of employees such as: Reliability Engineers, Maintenance Engineers, Plant Supervisors, Plant Managers, Operations Managers, Facilities Managers, and anyone seeking to improve the safety, and operational effectiveness and efficiency of their facility.
Course Length: 4 Days