A product is produced at two manufacturing plants and shipped
to 3 sales outlets. The unit revenues and the maximum sales at
the outlets are shown in the table below.
Sales Outlets
|
A
|
B
|
C
|
Revenue per unit
|
$20
|
$30
|
$25
|
Maximum sales
|
10 units
|
20
|
10
|
The data below shows the unit costs and maximum productions
at the plants.
Manufacturing Plants
|
I
|
II
|
Cost per unit
|
$6
|
$8
|
Maximum production
|
30 units
|
30
|
The data below shows the shipping costs per unit between plants
and sales outlets.
Sales Outlet
|
A
|
B
|
C
|
Plant I
|
$4
|
$8
|
$6
|
Plant II
|
$6
|
$3
|
$10
|
The linear programming model for this situation is shown below.
![](question.img/nlmoq128e4.gif)
subject to:
![](question.img/nlmoq128e0.gif)
In each of the following three problems we modify the situation
in some way. Show the change in the model. When solving with
the Solver Add-In of Excel, does one expect that the program
will find a global maximum solution or only a local maximum?
Justify your conclusion with convexity arguments. The modifications
are not cumulative.
a. We can make additional units at the plants above the maximum
levels indicated.
![](question.img/nlmoq128e1.gif)
b. We discover an odd nonlinear restriction on the amounts
of products sold.
![](question.img/nlmoq128e2.gif)
c. The amounts of products produced at the two
plants must obey the equality constraint:
![](question.img/nlmoq128e3.gif)
|