Find the full Body of Knowledge here.

Certified Reliability Engineer
Body Of Knowledge

The Certified Reliability Engineer (CRE) understands the principles of performance evaluation and prediction to improve product/systems safety, reliability, and


This body of knowledge and applied technologies include, but are not limited to, design review and control; prediction, estimation, and apportionment

methodology; failure mode and effects 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.

More detail on the Body Of Knowledge will follow soon 

I. Reliability Fundamentals

A. Leadership Foundations

2. Interrelationship of safety, quality, and reliability
3. Reliability engineer leadership responsibilities
4. Reliability engineer role and responsibilities in the product life cycle
5. Function of reliability in engineering
6. Ethics in reliability engineering
7. Supplier reliability assessments
8. Performance monitoring

B. Reliability Foundations

1. Basic reliability terminology
2. Drivers of reliability requirements and targets
3. Corrective and preventive action (CAPA)
4. Root cause analysis
5. Product life-cycle engineering stages
6. Economics of product maintainability and availability
7. Cost of poor reliability
8. Quality triangle
9. Six Sigma methodologies
10. Systems engineering and integration

II. Risk Management

A. Identification

1. Risk management techniques
2. Types of risk

B. Analysis

1. Fault tree analysis (FTA)
2. Failure mode and effects analysis (FMEA)
3. Common mode failure analysis
4. Hazard analysis
5. Risk matrix
6. System safety

C. Mitigation

III. Probability and Statistics for Reliability

A. Basic Concepts

1. Basic statistics
2. Basic probability concepts
3. Probability distributions
4. Probability functions
5. Sampling plans for statistics and reliability testing
6. Statistical process control (SPC)and process capability studies (Cp, Cpk)
7. Confidence and tolerance intervals

B. Data Management

1. Sources and uses of reliability data
2. Types of data
3. Data collection methods
4. Data summary and reporting
5. Failure analysis methods
6. Failure reporting, analysis, and corrective action system (FRACAS)

IV. Reliability Planning, Testing, and Modeling

A. Planning

1. Reliability test strategies
2. Environmental and conditions of use factors
3. Failure consequence
4. Failure criteria
5. Test environment

B. Testing

1. Accelerated life tests
2. Stress screening
3. Qualification/Demonstration testing
4. Degradation (wear-to-failure) testing
5. Software testing

C. Modeling

1. Reliability block diagrams and models
2. Physics of failure and failure mechanisms
3. Failure models
4. Reliability prediction methods
5. Design prototyping

V. Life-Cycle Reliability

A. Reliability Design Techniques

1. Design evaluation techniques (validation and verification)
2. Stress-strength analysis
3. Design of experiments (DOE)
4. Reliability optimization
5. Human factors
6. Design for X (DFX)
7. Design for Reliability (DfR)

B. Parts and Systems Development

1. Materials and components selection techniques
2. Parts standardization and system simplification

C. Maintainability

1. Maintenance strategies
2. Preventive maintenance (PM) analysis
3. Corrective maintenance analysis
Scroll to Top