A company is developing its weekly production plan. The company produces two products, A and B, which are processed in two departments. Setting up each batch of A requires $60 of labor while setting up a batch of B costs $80. Each unit of A generates a profit of $17 while a unit of B earns a profit of $21. The company can sell all the units it produces. The data for the problem are summarized below.
Hours required by |
|||
Operation |
A |
B |
Hours |
Cutting |
3 |
4 |
48 |
Welding |
2 |
1 |
36 |
The decision variables are defined as:
xi = the amount of product i produced
yi = 1 if xi > 0 and 0 if xi = 0
A spreadsheet implementation of the problem is shown below.
Q1. What is the objective function for this problem?
a. Maximize: 17x 1 + 21x 2 – 60y 1 – 80y 2
b. Minimize: 60y 1 + 80y 2
c. Minimize: 17x 1 + 21x 2 – 60y 1 – 80y 2
d. Maximize: 17x 1 + 21x 2
Q2. What is the appropriate formula to use in cell E8 of the Excel implementation of the ILP model for this problem?
a. =SUMPRODUCT(B8:C8,B14:C14) – SUMPRODUCT(B5:C5,B7:C7)
b. =SUMPRODUCT(B5:C5,B7:C7) – SUMPRODUCT(B8:C8,B14:C14)
c. =SUMPRODUCT(B5:C5,B7:C7) – SUMPRODUCT(B8:C8,B15:C15)
d. =SUMPRODUCT(B5:C5,B7:C7) – B8:C8
Q3. Which of the following algebraic constraints creates the link between setting up to produce A’s and making some A’s for this problem?
a. x 1 – 18 y 1 > 0
b. x 1 – y 1 = 0
c. = if(x 1 > 0, y 1 = 1, y 1 = 0)
d. x 1 < 16y 1
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