Determination of chance probability and respective payoffs: Build Small: Low Demand 0.4($40)=$16 High Demand 0.6($55)=$33

A General Manger of Harley-Davidson has to decide on the size of a new facility. The GM has narrowed the choices to two: large facility or small facility. The company has collected information on the payoffs. It now has to decide which option is the best using probability analysis, the decision tree model, and expected monetary value.

 

Options:

 

Facility             Demand Options    Probability      Actions              Expected Payoffs

 

Large                   Low Demand                   0.4                   Do Nothing       ($10)

 

Low Demand                   0.4                   Reduce Prices  $50

 

High Demand                  0.6                                                      $70

 

Small                  Low Demand                  0.4                                                       $40

 

High Demand                0.6                Do Nothing             $40

 

High Demand               0.6                Overtime                  $50

 

High Demand               0.6                Expand                       $55

Decision Tree

Determination of chance probability and respective payoffs:

Build Small:

Low Demand 0.4($40)=$16

High Demand 0.6($55)=$33

Build Large:

Low Demand 0.4($50)=$20

High Demand 0.6($70)=$42

 

Determination of Expected Value of each alternative
Build Small: $16+$33=$49
Build Large: $20+$42=$62

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Assignment 2 Grading Criteria  Maximum Points    The diagram is accurate and labeled correctly. The diagram clearly illustrates the sequence of events and their probability of occurrences.  32    A step-by-step breakdown of the calculations for the chance of probability and respective payoff is clearly communicated. The results of the calculations are accurate.  28    Clear and concise statement explaining the decision and a description of elements that lead to the decision.  20    Clear and concise statement explaining the decision and a description of elements that lead to the decision.  20    Total:  100