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Home » LMS » CRE Preparation Course » III. A. more Reliability Design Techniques » III. A. 9. Reliability Optimization

by Fred Schenkelberg Leave a Comment

III. A. 9. Reliability Optimization

III. Reliability in Design and Development
A. Reliability design techniques

9. Reliability optimization (Apply)

Use various approaches, including redundancy, derating, trade studies, etc., to optimize reliability within the constraints of cost, schedule, weight, design requirements, etc.

Reminds me of the Oliver Wendall Holmes poem, The Wonderful One Hoss Shay – perfect reliability for 100 years and a day. We can make a system better such that every part is as strong as every other part.

 

  • mp4 III. A. 9. Reliability Optimization video Download
  • pdf III. A. 9. Reliability Optimization slides Download
  • mp3 III. A. 9. Reliability Optimization audio Download

Additional References

What is Reliability Optimization? (article)

Solving a Reliability Optimization Example (article)

Product Reliability Design Guidelines: The Design for Reliability Manual (article)

The Derating & Safety Margin Manual (article)

Derating Value (article)

Product Reliability Design Guidelines: The Design for Reliability Manual (article)

Standby Redundancy, Equal Failure Rates, Imperfect Switching (article)

Standby Redundancy with Equal Failure Rates and Perfect Switching (article)

Quick Quiz

1-13. Which of the following would not enhance software reliability?

(A) structured programming
(B) redundant code programming
(C) programming for fault tolerance
(D) modular programming

Answer

(B) redundant code programming

Discussion

Replicating the same code would replicate any faults within the code. Instead use redundancy with program diversity, where the elements in parallel are different sets of code, the employ a voting routine to determine the correct result if the alternative sets of code do not agree.

Structured programing constrains the programmers to use specific clear, well-defined design practices. Fault tolerance programming attempts to identify and mitigate, or if possible avoid, software failures. Modular programs breaks down complex software projects into smaller, easier to define portions of code, making debugging less complex.

O’Connor and Kleyner, Practical Reliability Engineering section 10.5 page 268 – 270 5th ed.

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About Fred Schenkelberg

I am the reliability expert at FMS Reliability, a reliability engineering and management consulting firm I founded in 2004. I left Hewlett Packard (HP)’s Reliability Team, where I helped create a culture of reliability across the corporation, to assist other organizations.

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  • CRE Preparation Course
    • Course Introduction
      • Welcome
      • Introduction
      • Thank You for Your Interest in the Course
      • Exam Day
      • Preparation Approach
      • Discussion Forums Introduction
      • CRE Sample Quiz
      • Terms Glossary
      • Math Quiz
      • Body of Knowledge 2009 version
      • Body of Knowledge 2018 version
    • Reliability Management
      • Reliability Management Introduction
    • I. A. Strategic Management
      • Strategic Management Introduction
      • I. A. 1. Benefits of Reliability Engineering
      • I. A. 2. Interrelationship of Safety, Quality, and Reliability
      • I. A. 3. Role of the Reliability Function
      • I. A. 4. Product and Process Development
      • I. A. 5. Failure Consequences and Liability Management
      • I. A. 6. Warranty Management
      • I. A. 7. Customer Needs Assessment
      • I. A. 8. Supplier Reliability
      • I. A. Strategic Management Quiz
      • I. A. Bonus — Building Influence
    • I. B. Reliability Program Management
      • Reliability Program Management Introduction
      • I. B. 1. Terminology
      • I. B. 2. Elements of a Reliability Program
      • I. B. 3. Types of Risk
      • I. B. 4. Product Lifecycle Engineering
      • I. B. 5. Design Evaluation
      • I. B. 6. Systems Engineering and Integration
      • I. B. Reliability Program Management Quiz
    • I. C. Ethics, Safety, and Liability
      • Ethics, Safety, and Liability Introduction
      • I. C. 1. Ethical Issues
      • I. C. 2. Roles and Responsibilities
      • I. C. 3. System Safety
      • I. C. Ethics, Safety, and Liability Quiz
    • II. Probability and Statistics for Reliability
      • Probability and Statistics for Reliability Introduction
    • II. A. Basic Concepts
      • Basic Concepts Introduction
      • II. A. I. Statistical Terms
        • II. A. I. a. Basic Statistical Terms
        • II. A. I. b. Measures of Central Tendency
        • II. A. I. c. Central Limit Theorem
        • II. A. I. d. Measures of Dispersion
        • II. A. 1. e. COV and a Couple of Laws
      • II. A. 2. Basic Probability Concepts
        • II. A. 2. a. Probability
        • II. A. 2. b. Laws and Counting
        • II. A. 2. c. Expectation
      • II. A. 3. Discrete and Continuous Probability Distributions
        • II. A. 3. a. The Four Functions
        • II. A. 3. b. Continuous Distributions
        • II. A. 3. c. Discrete Distributions
        • II. A. 3. d. Bathtub Curve
      • II. A. 4. Poisson Process Models
        • Poisson Process Models Introduction
        • II. A. 4. a. Homogeneous Poisson Process
        • II. A. 4. b. Repair System Terminology
        • II. A. 4. c. Non-Homogenous Poisson Process
        • II. A. 4. d. Mann Reverse Arrangement Test
        • II. A. 4. e. Laplace’s Trend Test
        • II. A. 4. f. Fisher’s Composite Test
      • II. A. 5. Non-Parametric Statistical Methods
        • II. A. 5. a. The Approach
        • II. A. 5. b. Ranking
        • II. A. 5. c. Reliability and Comparisons
        • Non-Parametric Statistical Methods Introduction
      • II. A. 6. Sample Size Determination
        • II. A. 6. Sample Size Determination
      • II. A. 7. Statistical Process Control and Process Capability
        • II. A. 7. a. Control Charts Introduction
        • II. A. 7. b. X-bar and R charts
        • II. A. 7. c. Selecting Control Charts
        • II. A. 7. d. Individual and Moving Range Charts
        • II. A. 7. e. Attribute Charts
        • II. A. 7. f. The Analysis
        • II. A. 7. g. Process Capability
        • II. A. 7. h. Standard Normal and z-values
        • II. A. 7. i. Capability and Charts
        • II. A. 7. j. Pre-Control Charts
        • Statistical Process Control and Process Capability Introduction
      • II. A. Basic Concepts Quiz
    • II. B. Statistical Inference
      • Statistical Inference Introduction
      • II. B. 1. Point Estimates of Parameters
      • II. B. 2. a. Statistical Intervals – Point Estimates
      • II. B. 2. b. Statistical Intervals – MTBF Estimates
      • II. B. 3. a. Hypothesis Testing – The Process
      • II. B. 3. b. Hypothesis Testing – Means
      • II. B. 3. c. Hypothesis Testing – Variance
      • II. B. 3. d. Hypothesis Testing – Comparisons
      • II. B. Statistical Inference Quiz
    • III. Reliability in Design and Development
      • Reliability in Design and Development Introduction
    • III. A. Reliability Design Techniques
      • Reliability Design Techniques Introduction
      • III. A. 1. Environmental and Use Factors
      • III. A. 2. Stress-Strength Analysis
      • III. A. 3. FMEA and FMECA
      • III. A. 4. Common Mode Failure Analysis
      • III. A. 5. Fault and Success Tree Analysis
      • III. A. 6. Tolerance and Worst-Case Analysis
    • III. A. 7. Design of Experiments
      • Design of Experiments Introduction
      • III. A. 7. a. How We Experiment
      • III. A. 7. b. Differences and Approaches
      • III. A. 7. c. Language of DOE
      • III. A. 7. d. Only the Right Experiments
      • III. A. 7. e. Steps to Accomplish
      • III. A. 7. f. Dealing with Measurements
      • III. A. 7. g. Interactions and Confounding
      • III. A. 7. h. Adjusting the Design
      • III. A. 7. i. Classical DOE
      • III. A. 7. j. Various Designs
      • III. A. 7. k. A Simple Taguchi Example
      • III. A. 7. l. Robust Design
    • III. A. more Reliability Design Techniques
      • III. A. 8. Fault Tolerance
      • III. A. 9. Reliability Optimization
      • III. A. 10. Human Factors
      • III. A. 11. Design for X – DFX
      • III. A. 12. Reliability Apportionment or Allocation Techniques
      • III. A. Reliability Design Techniques Quiz
    • III. B. Parts and Systems Management
      • Parts and Systems Management Introduction
      • III. B. 1. a. Selection, Standardization, and Reuse – Parts
      • III. B. 1. b. Selection, Standardization, and Reuse – Software
      • III. B. 2. Derating Methods and Principles
      • III. B. 3. Parts Obsolescence Management
      • III. B. 4. Establishing Specifications
      • III. B. Parts and Systems Management Quiz
    • IV. Reliability Modeling and Predictions
      • Reliability Modeling and Predictions Introduction
    • IV. A. Reliability Modeling
      • Reliability Modeling Introduction
      • IV. A. 1. Sources and Uses of Reliability Data
      • IV. A. 2. a. Reliability Block Diagrams and Models – Series Systems
      • IV. A. 2. b. Reliability Block Diagrams and Models – Parallel Systems
      • IV. A. 2. c. Reliability Block Diagrams and Models – Redundancy
      • IV. A. 2. d. Reliability Block Diagrams and Models – Complex
      • IV. A. 2. e. Reliability Block Diagrams and Models – Keynote
      • IV. A. 3. Physics of Failure Models
      • IV. A. 4. a. Simulation Techniques – Markov Models
      • IV. A. 4. b. Simulation Techniques – Monte Carlo
      • IV. A. 5. Dynamic Reliability
      • IV. A. Reliability Modeling quiz
    • IV. B. Reliability Predictions
      • Reliability Predictions Introduction
      • IV. B. 1. Parts Count Predictions and Parts Stress Analysis
      • IV. B. 2. a. Reliability Prediction Models – Considerations
      • IV. B. 2. b. Reliability Prediction Models – Uncertainty
      • IV. B. 2. c. Reliability Prediction Models – Tolerance Intervals
      • IV. B. Reliability Predictions quiz
    • V. Reliability Testing
      • Reliability Testing Introduction
    • V. A. Reliability Testing Planning
      • Reliability Testing Planning Introduction
      • V. A. 1. a. Reliability Test Strategies – Types of Testing
      • V. A. 1. b. Reliability Test Strategies – Human Factors Testing
      • V. A. 2. Test Environment
      • V. A. Reliability Test Planning quiz
    • V. B. Testing During Development
      • Testing During Development Introduction
      • V. B. 1. Accelerated Life Tests
      • V. B. Bonus – A Few Models
      • V. B. 2. Discovery Testing
      • V. B. 3. Reliability Growth Testing
      • V. B. 4. Software Testing
      • V. B. Testing During Development quiz
    • V. C. Product Testing
      • Product Testing Introduction
      • V. C. 1. a. Qualification Demonstration Testing – PRST
      • V. C. 1. b. Qualification Demonstration Testing – Success Testing
      • V. C. 2. Product Reliability Acceptance Testing – PRAT
      • V. C. 3. Ongoing Reliability Testing
      • V. C. 4. Stress Screening
      • V. C. 5. Attribute Testing
      • V. C. 6. Degradation Testing
      • V. C. Bonus – Acceleration Factors
      • V. C. Product Testing quiz
    • VI. Maintainability and Availability
      • Maintainability and Availability Introduction
    • VI. A. Management Strategies
      • Management Strategies Introduction
      • VI. A. 1. a. Planning
      • VI. A. 1. b. Planning – System Effectiveness
      • VI. A. 1. c. Planning – Reliability Time
      • VI. A. 2. a. Maintenance Strategies – RCM
      • VI. A. 2. b. Maintenance Strategies – TPM
      • VI. A. 2. c. Maintenance Strategies – Allocation
      • VI. A. 3. Availability Tradeoffs
      • VI. A. Management Strategies quiz
    • VI. B. Maintenance and Testing Analysis
      • Maintenance and Testing Analysis Introduction
      • VI. B. 1. Preventative Maintenance Analysis
      • VI. B. 2. Corrective Maintenance Analysis
      • VI. B. 3. Non-Destructive Evaluation
      • VI. B. 4. Testability
      • VI. B. 5. Spare Parts Analysis
      • VI. B. Maintenance and Testing Analysis quiz
    • VII. Data Collection and Use
      • Data Collection and Use Introduction
    • VII. A. Data Collection
      • Data Collection Introduction
      • VII. A. 1. a. Types of Data
      • VII. A. 1. b. Types of Data – Censored Data
      • VII. A. 2. Collection Methods
      • VII. A. 3. Data Management
      • VII. A. Data Collection quiz
    • VII. B. Data Use
      • Data Use Introduction
      • VII. B. 1. Data Summary and Reporting
      • VII. B. 2. Preventive and Corrective Actions
      • VII. B. 3. Measures of Effectiveness
      • VII. B. Data Use quiz
    • VII. C. Failure Analysis and Correction
      • Failure Analysis and Correction Introduction
      • VII. C. 1. Failure Analysis Methods
      • VII. C. 2. Failure Reporting, Analysis, and Corrective Action System
      • Exam Day Bonus
      • VII. C. Failure Analysis and Correction quiz

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