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Home » LMS » CRE Preparation Course » I. B. Reliability Program Management » I. B. 4. Product Lifecycle Engineering

by Fred Schenkelberg Leave a Comment

I. B. 4. Product Lifecycle Engineering

I. Reliability Management
B. Reliability program management

4. Product Lifecycle Engineering (Understand)

Describe the impact various lifecycle stages (concept/design, introduction, growth, maturity, decline) have on reliability, and the cost issues (product maintenance, life expectation, software defect phase containment, etc.) associate with those stages.

The creation and use of a product or system evolves over time from the initial idea to eventual retirement. Each stage of the lifecycle includes reliability considerations along with the many other constraints informing decisions and actions.

 

  • mp4 I. B. 4. Product Lifecycle Engineering Download
  • pdf I. B. 4. Product Lifecycle Engineering slides Download
  • mp3 I. B. 4. Product Lifecycle Engineering audio Download

Additional References

Software Defect Phase Containment (article)

Life cycle cost analysis and reliability (article)

Software Defect Phase Containment (article)

Life Cycle Cost Analysis for a Reliability Engineer (webinar recording)

Quick Quiz

1-1. Two systems are built to perform the same function. What factors should be considered in comparing the financial effects of reliability over the designed operating time of the two systems?

I.   failure rates
II.  operating life of each system
III. cost of each system (including repair, replacement, and loss)

(A) I only
(B) I and III only
(C) II and III only
(D) I, II, and III

Answer

(D) I, II, and III

Discussion

Consider all the elements that lead to a financial gain or loss. The available answers include failure rates and operating life of each system, which, permits the calculation of the expected number of failures, and multiplied by the cost of a failure provides the cost of failures.

Another financial element is the cost of maintaining the system, including preventative and corrective maintenance costs, which impact the overall financial performance of a system. Maintenance costs tend to focus on avoiding system failures or returning the system to service after a failure.


1-9. A new production machine is to be introduced into a production line. The new machine and associated costs will require an investment of $120,000. However, maintenance costs for the production line operating with the new machine are expected to decrease from $42,000/year to $20,000/year. If administrative overhead is 21%, the profit coefficient is 7%, and the present worth is subject to 4% discounting, which of the following techniques would you not use to determine the cost effectiveness of the new production machine, amortized over its 7 years of expected useful life?

(A) internal rate of return analysis
(B) return on investment analysis
(C) return on rate of expansion analysis
(D) discounted cash flow analysis

Answer

(C) return on rate of expansion analysis

Discussion

An analysis of the rate of expansion plans for the production line may include marketing, demand, distribution, warehousing, capacity and flexibility, and may include one of the other three listed analysis approaches, yet does not address the question of the new equipment being a good investment using only the given data. Plus I made up the analysis name.

Discounted Cash Flow (DCF) analysis is the most likely analysis to conduct in this case. DCF adjusts the future cash flow changes adjusted for the time value of money. Given the discount rate it means that $100 today is worth 4% less a year from now.

Net Present Value (NPV) is the difference between the present value of cash inflows and the present value of cash outflows.

Internal Rate of Return (IRR) analysis is a metric useful for capital budgeting and is the discount rate. The analysis adjusts the IRR until the net present value of all cash flows equal to zero. This permits comparing different investment options or projects and the one with the highest IRR is then considered the best investment.

Return on Investment (ROI) analysis is a performance measure useful to understand the efficiency of an investment or to compare the efficiency of two or more investment options. ROI measures the amount of return relative to the investment’s cost. The ROI is the ratio of the benefit or return (calculated as the gain from the investment minus the cost of the investment) divided by the cost of the investment. ROI may or may not include the consideration of the time value of money by using NPV adjusted values.

 

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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
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      • III. A. 7. l. Robust Design
    • III. A. more Reliability Design Techniques
      • III. A. 8. Fault Tolerance
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      • 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
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      • 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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