Which of the following is a model used for monitoring reliability growth?

Question

Options

• ADuane
• BArrehenius
• CNormal
• DLognormal

• A
  81% (38)
• B
  11% (5)
• C
  6% (3)
• D
  2% (1)

Explanation

Duane is correct because the Duane model (also called the Duane Postulate) is specifically designed to track and predict reliability growth during product development and testing. Developed by J.T. Duane in 1964, it plots cumulative failure rate against cumulative test time on a log-log scale, producing a straight line whose slope indicates the rate of reliability improvement.

Arrhenius (B) is an accelerated life testing model that quantifies how elevated temperature accelerates failure rates - it describes thermal stress effects, not growth over time. Normal (C) and Lognormal (D) are statistical distributions used in reliability analysis (e.g., lognormal is common for modeling repair times), but neither is a reliability growth model - they describe data, not improvement trajectories.

Memory tip: Think "Duane grew up to be reliable" - the Duane model is the go-to for tracking how reliability grows during test-and-fix cycles. If the question mentions growth, Duane is your answer.

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