| Step 1 formulation | |
| Decision variables | Let the number of regular lattes sold be 'x' |
| Let the number of Low-fat lattes sold be 'y' | |
| Objective Equation | Maximize Profit = 1.58x + 1.65y |
| Espresso constraint equation | 1x + 1y < 100 |
| Skim Milk constraint equation | 1.25y < 60 |
| 2% Milk constraint equation | 1x < 60 |
| Whipped cream constraint equation | 0.5x < 30 |
| Regular | LowFat | ||||
| Number of units | x | y | |||
| Profit | 1.58x | 1.65y | |||
| Constraints | |||||
| Espresso | 1x | 1y | 1x + 1y | < | 100 |
| Skim Milk | 0 | 1.25y | 1.25y | < | 60 |
| 2% Milk | 1x | 0 | 1x | < | 60 |
| Whipped cream | 0.5x | 0 | 0.5x | < | 30 |
| LHS | Sign | RHS |
Therefore, the ideal mix would be 52 regular lattes and 48 low-fat lattes.
| Regular | LowFat | ||||
| Number of units | 52 | 48 | |||
| Profit | 82.16 | 79.2 | 161.36 | ||
| Constraints | |||||
| Espresso | 52 | 48 | 100 | < | 100 |
| Skim Milk | 0 | 60 | 60 | < | 60 |
| 2% Milk | 52 | 0 | 52 | < | 60 |
| Whipped cream | 26 | 0 | 26 | < | 30 |
| LHS | Sign | RHS |
29 A commuter airline makes lattes in the galley and sells them to passengers. A regular...
Read the attached article and answer the following
questions.
1. What is the role of potassium in blood pressure?
2. Looking back at last weeks Super Tracker report - do you meet
the 4700mg daily target for potassium?
3. Do you meet the 400mg daily target for magnesium?
4. Research shows that hypertension and type 2 diabetes can be
prevented by dietary choices. List 3 ways that employers,
government, doctors, etc. (you can use another group ) can either
motivate...