Certified Reliability Engineer (CRE)

The Certified Reliability Engineer is a professional who understands the principles of performance evaluation and prediction to improve product/systems safety, reliability and maintainability. This body of knowledge (BOK) and applied technologies include, but are not limited to, design review and control; prediction, estimation, and apportionment methodology; failure mode effects and analysis; the planning, operation and analysis of reliability testing and field failures, including mathematical modeling; understanding human factors in reliability; and the ability to develop and administer reliability information systems for failure analysis, design and performance improvement and reliability program management over the entire product life cycle. The Certified Reliability Engineer exam is provided by the American Society for Quality.

The course provides a valuable experience to all those involved or will be involved in reliability engineering activities and projects, including managers, executives, reliability professionals, engineers, QA managers, CQI coordinators, quality auditors, manufacturing managers and other quality professionals.  The course is also beneficial to those who are considering enhancing their careers and would like to be better trained and highly-skilled and recognized reliability professionals.

Course Outline:

I. Strategic Management

II. Reliability Management

III. Probability and Statistics for Reliability
        A. Basic concepts
        B. Statistical inference

IV. Reliability in Design and Development
        A. Reliability design techniques
        B. Parts and systems management

V. Reliability Modeling and Predictions
        A. Reliability modeling
        B. Reliability prediction methods

VI. Reliability Testing
        A. Reliability test planning
        B. Testing during development
        C. Product testing

VII. Maintainability and Availability 
        A. Management strategies
        B. Maintenance and testing analysis

VIII. Data Collection and Use
        A. Data collection
        B. Data use
        C. Failure analysis and correction