Question

In: Economics

Incline Electronics produces three different products in a plant that is open 40 hours per week....

Incline Electronics produces three different products in a plant that is open 40 hours per week. Each product requires the following processing times (in hours) on each of three machines.

Each machine must be run by one of 19 cross-trained workers who are each available 35 hours per week. The plant has 10 type 1 machines available, 6 type 2 machines available, and 8 type 3 machines available. Products 1, 2, and 3 contribute $90, $120, and $150, respectively, in marginal profit per unit produced.

a. Select the correct LP model for this problem.

Let P1 represent Units of product 1 to make.
Let P2 represent Units of product 2 to make.
Let P3 represent Units of product 3 to make.

I MAX 90P1 + 120P2 + 150P3
ST 2P1 + 2P2 + 1P3 ≤ 240
3P1 + 4P2 + 6P3 ≤ 400
4P1 + 6P2 + 5P3 ≤ 320
9P1 + 12P2 + 12P3 ≤ 665
Pi ≥ 0
II MIN 90P1 + 120P2 + 150P3
ST 2P1 + 2P2 + 1P3 ≤ 240
3P1 + 4P2 + 6P3 ≤ 320
4P1 + 6P2 + 5P3 ≤ 400
9P1 + 12P2 + 12P3 ≤ 665
Pi > 0
III MIN 90P1 + 120P2 + 150P3
ST 2P1 + 2P2 + 1P3 ≥ 400
3P1 + 4P2 + 6P3 ≥ 665
4P1 + 6P2 + 5P3 ≥ 320
9P1 + 12P2 + 12P3 ≥ 240
Pi > 0
IV MAX 90P1 + 120P2 + 150P3
ST 2P1 + 2P2 + 1P3 ≤ 400
3P1 + 4P2 + 6P3 ≤ 240
4P1 + 6P2 + 5P3 ≤ 320
9P1 + 12P2 + 12P3 ≤ 665
Pi ≥ 0

Select  I,II,III,IV

b. Implement your model in a spreadsheet and solve it. How many units for each product should Incline Electronics produce? Round your answers to one decimal place, if necessary.

Quantity
Product 1
Product 2
Product 3

c. What is the total profit for the optimal solution?
$

d. How many workers should be assigned to each type of machine? Round your answers to one decimal place, if necessary.

Machine 1
Machine 2
Machine 3

Solutions

Expert Solution

a. The correct option is D.

We need to maximize revenue. Total revenue would be

90P1+120P2 + 150P3. So, maximizing constraint is

MAX 90P1+120P2 + 150P3

This leaves us with options A and D.

Now, the workers work 35 hours and there are total 19 workers. So total worker hours available is 19*35=665. Worker constraint is

9P1 + 12P2 + 12P3 ≤ 665

There are 10 Type 1 machines. The plant orks for 40 hours per week. Machine 1 hours available=40*10=400. Similarly, machine 2 hours available hours 6*40=240. Machine 3 hours available 8*40=320.

Machine constraints

2P1 + 2P2 + 1P3 ≤ 400
3P1 + 4P2 + 6P3 ≤ 240
4P1 + 6P2 + 5P3 ≤ 320

Combining all constraints, we get

Option D

B. Using solver option (In Data tab), we can solve the problem for maximum profit.
Note- if solver option is not there in your data tab, go to options and then plug-ins and enable it first.

First elts setup the problem in excel. We have already designed the problem in part A. Putting it in excel will look like this.

The quantity and profit tabs are zero right now because excel solver will determine the quantities for max profit.

Clicking on solver and then we need to enter for the following parameters.

We are maximizing profit (F3) by changing the number of units made (B2:D2) subject to constraints. Click on solve and we will get the following output.

As can be seen,

Quantity 1=6.7
Quantity 2=41.3
Quantity 3=9.2

C. Total profit, as solved in part B, is $6925

D. Workers for
Machine 1=3
Machine 2=6.9
Machine 3=9.1


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