Answer:
a. x = # of C-47s, y = # of C-54s
b. x + y ≤ 44; 4x +5y ≤ 200; 0 ≤ y ≤ 32; 0 ≤ x
c. maximize 3.5x +10y
d. see attached
e. 10 C-47s; 32 C-54s
Explanation:
You want the constraints and the solution that maximizes cargo capacity given that 44 planes and 200 crew could be used per day to fly C-47s with a crew of 4 and a capacity of 3.5 tons, and up to 32 C-54s with a crew of 5 and a capacity of 10 tons.
a. Variables
We can let x and y represent the numbers of C-47s and C-54s flown per day, respectively.
b. Constraints
There are three constraints: number of planes, number of crew, and availability of C-54s:
- x + y ≤ 44 . . . . . . no more than 44 planes per day
- 4x +5y ≤ 200 . . . . personnel cannot exceed 200
- y ≤ 32 . . . . . . . . . . . . only 32 C-54s are available
- x ≥ 0, y ≥ 0 . . . . the numbers of planes cannot be negative
c. Objective
The objective is to maximize the total cargo capacity of the available flights. We want to ...
maximize 3.5x +10y
d. Graph
The attachment shows a graphical solution The shaded area represents the feasible region. Its vertices are marked with (#C-47s, #C-54s). The blue line shows the objective function is maximized at point (10, 32). Its value there is ...
3.5(10) +10(32) = 355 . . . . tons of cargo per day
e. Solution
The numbers of planes used are ...
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Additional comment
For 2 million people that capacity works out to about 0.355 pounds of cargo per person per day.
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