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Analysis & Optimization Flashcards

7 cards from real CPS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Analysis & Optimization flashcards as text
  1. Which simulation method is best suited for analyzing the effect of random variation in a complex process with multiple interdependent steps?

    Answer: Monte Carlo simulation

    Monte Carlo simulation runs thousands of iterations with randomly sampled input values to model the probabilistic behavior of complex systems.

  2. A process produces 500 units; 30 have at least one defect and 12 units are scrapped. What is the first pass yield?

    Answer: 94.0%

    First pass yield equals units passing without any defect divided by total units: (500−30)/500 = 470/500 = 94.0%.

  3. In the Theory of Constraints, which step follows identifying the system constraint?

    Answer: Exploit the constraint

    After identifying the constraint, the next step is to exploit it — maximize its output before investing in additional resources.

  4. A control chart shows eight consecutive points above the centerline but within control limits. This pattern indicates:

    Answer: A special cause is likely present

    Eight or more consecutive points on one side of the centerline is a Western Electric run rule violation indicating a non-random special cause.

  5. Which analysis technique maps how information and materials flow from supplier to customer to identify bottlenecks and waste?

    Answer: Value stream mapping

    Value stream mapping documents every step, delay, and information flow across the entire process from supplier input to customer delivery.

  6. When using a scatter diagram to analyze process data, a correlation coefficient near -1.0 indicates:

    Answer: A strong negative linear relationship

    A correlation coefficient of -1.0 indicates a perfect inverse linear relationship where as one variable increases the other decreases proportionally.

  7. In process optimization, 'takt time' is calculated as:

    Answer: Available production time divided by customer demand rate

    Takt time equals available production time divided by customer demand, setting the pace at which the process must produce to meet demand.