Lot Type | |||
Minimal | Intermediate | Heavy | |
Probability | 20% | 30% | 50% |
Compact Cars | $ 41,000 | $ 27,000 | $ 17,000 |
Non-compact Cars | -65000 | 26000 | 71000 |
Trailers | 12000 | 37000 | 57000 |
Employee Cost | 32000 | 25000 | 6000 |
Question:
In Maximax (Optimistic) criterion we look for best possible payoff for each variable, and for among them chose the best one.
Here the best payoffs for each variable are -
Compact Cars - $ 41,000
Non-Compact Cars - $ 71,000
Trailers - $ 57,000
Employee Cost - $ 32,000
Amongst the above variable the best possible value is $ 71,000 for Non-Compact Cars.
Hence in Maximax condition, Amount = $ 71,000 & Variable Name - Non-Compact Cars.
In Maximax (Optimistic) criterion we look for best possible payoff for each variable, and for among them chose the best one.
Here the best payoffs for each variable are -
Compact Cars - $ 41,000
Non-Compact Cars - $ 71,000
Trailers - $ 57,000
Employee Cost - $ 32,000
Amongst the above variable the best possible value is $ 71,000 for Non-Compact Cars.
Hence in Maximax condition, Amount = $ 71,000 & Variable Name - Non-Compact Cars
In Maximin (Conservative) criterion we look for worst possible payoff for each variable, and for among them chose the best one.
Here the best payoffs for each variable are -
Compact Cars - $ 17,000
Non-Compact Cars - $ -65,000
Trailers - $ 12,000
Employee Cost - $ 6,000
Amongst the above variable the best possible value is $ 17,000 for Compact Cars.
Hence in Maximax condition, Amount = $ 17,000 & Variable Name - Compact Cars
Lot Type Minimal Intermediate Heavy Probability 20% 30% 50% Compact Cars $ 41,000 $ 27,000 $...