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
A process analyst observes that cycle time varies widely between shifts despite identical procedures. Which analysis technique best identifies the root cause?
Answer: Multi-vari study
A multi-vari study isolates sources of variation across time, units, and within-unit factors to pinpoint where variability originates.
When performing a value stream map, which metric directly measures the ratio of value-added time to total lead time?
Answer: Process cycle efficiency
Process cycle efficiency (PCE) equals value-added time divided by total lead time, revealing waste proportion in the flow.
A team wants to reduce defects but has limited resources. Which approach ensures effort targets the highest-impact defect categories first?
Answer: Pareto analysis
Pareto analysis applies the 80/20 rule to rank defect categories by frequency or cost, directing resources to the vital few causes.
In regression analysis for process optimization, what does an R² value of 0.92 indicate?
Answer: The model explains 92% of the variation in the output
R² represents the coefficient of determination, indicating what proportion of output variance is explained by the regression model.
Which lean concept specifically targets eliminating wait time between consecutive process steps?
Answer: Single-piece flow
Single-piece flow moves one unit at a time between steps, eliminating batch queuing and the waiting waste it creates.
A CPS practitioner needs to determine whether two process changes together produce an effect greater than either alone. Which experimental design detects this?
Answer: Factorial design
Factorial designs test multiple factors simultaneously and can detect interaction effects between factors that one-at-a-time testing misses.
Process capability index Cpk differs from Cp in which critical way?
Answer: Cpk accounts for process centering while Cp only measures spread
Cpk incorporates the distance from the process mean to the nearest specification limit, penalizing off-center processes that Cp ignores.