Chapter 7 Learning Curve Analysis Flashcards
Which of the following is not a synonym for learning curve?
Cost Improvement Curve , Cost/Benefit Analysis, Cost/Quantity Relationship
Cost Benefit Analysis
True or False. A Cumulative Average Curve will result in lower calculated cost for the unit cost of any non-first unit than a Unit Curve with the same T1 and LCS.
True
Which of the following best states the core concept behind learning curve theory?
A.)The cost (effort) to produce a unit declines by a constant amount as the quantity produced doubles
B.)The cost (effort) to produce a unit declines by a constant percentage as the quantity produced doubles
C.)The cost (effort) to produce a unit declines by a decreasing percentage as the quantity produced doubles
D.)The cost (effort) to produce a unit always remains constant until the quantity produced doubles
B
The learning curve slope (LCS) can be calculated from b using which equations?
(A) e^(b*ln(2))
(B) ln(b)/ln(2)
(C) b^2
(D) aX^b
(E) 2^b
(F) A or C
(G) A or E
G
According to learning curve theory, when quantity quadruples, cost should decrease by a factor of which of the following?
(A) The reciprocal of LCS
(B) LCS
(C) The square of LCS
(D) The cube of LCS
(E) The fourth power of LCS
(F) Depends on which learning curve theory is being applied
(G) None of the above
C
The cumulative average (CUMAV) theory is also known by which of the following names?
(A) ULC Theory
(B) Wright Curve
(C) Crawford Curve
(D) Rate Theory
(E) Production Break Theory
B
Unit learning curve (ULC) theory is also known by which of the following names?
(A) CUMAV Theory
(B) Wright Curve
(C) Crawford Curve
(D) Rate Theory
(E) Production Break Theory
(F) None of the above
C
What is the general learning curve equation?
Y = aX^b or ln(Y) = ln(a) + b*ln(X) depending on the log space
True or False. If given a Learning Curve Slope (LCS) of 90% and a T1 of 100, it is possible to derive the cost of the 3rd unit.
False
True or False. To determine which learning curve theory is a better fit to the data, the best thing to do is to compare the statistics of the regression because these statistics are unbiased.
False
