Assignment Decision Theory
Suppose we have three cars C1, C2, and C3. They have the same productivity but different parameters. The following table shows the parameter values.
Car | Color | Price EUR | Horsepower | Trunk volume |
C1 | White | 25,000 | 120 | 300 |
C2 | Silver | 22,000 | 110 | 320 |
C3 | Red | 29,000 | 150 | 250 |
You assign 3 points to white, 4 points to silver and 4 points to red.
The budget is 30,000 EUR.
The preferred horsepower would be 180.
Task 1
Calculate the achievement rate for all parameters for all cars.
Solution
Car | Color | Price EUR | Horsepower | Trunk volume |
C1 | 0.75 | 0.167 | 0.667 | 0.938 |
C2 | 1 | 0.267 | 0.611 | 1 |
C3 | 1 | 0.033 | 0.833 | 0.781 |
Task 2
Calculate the weights of each parameter with the direct ranking method. The following scores are given:
KPI | Score |
Horse Power | 10 |
Price | 5 |
Space | 6 |
Color | 2 |
Solution
Horse Power | Price EUR | Space | Color | |
Weight | 0.435 | 0.217 | 0.261 | 0.087 |
Task 3
What car should you select from the calculation above?
Solution
Color | Price | Horse Power | Trunk Volume | Final Score | |
C1 | 0.065 | 0.036 | 0.290 | 0.245 | 0.636 |
C2 | 0.087 | 0.058 | 0.266 | 0.261 | 0.671 |
C3 | 0.087 | 0.007 | 0.362 | 0.204 | 0.660 |
Car C2 has the highest final score and should be selected.