In: Operations Management
3. Consider the following all-integer linear program: Max 1x1+1x2 s.t. 4x1+6x2 ?22 1x1+5x2 ?15 2x1+1x2 ?9 x1, x2 ?0 and integer
a. Graph the constraints for this problem. Use dots to indicate all feasible integer solutions.
b. Solve the LP Relaxation of this problem.
c. Find the optimal integer solution.
The Formulation
Maximize Z= 1x1+1X2
Subject to
4x1+6x2<= 22
1x1+5x2<=15
2x1+1x2<=9
x1, x2>=0 and integer
a) Graph of the constraints
step
First, make the constraints to equality and put one variable as zero to find the value of other variable and vice versa
For example in the first constraint put 4x1+6x2=22
then put x2= 0 so x1 = 22/4 = 5.5 and again putting x1 = 0, x2= 3.67 and then plot the two points in the graph to get the constraint line
Repeat the procedure for all other constraints
The graph is shown below
As this is a maximization problem and we got 4 feasible points from which there are 2 integer points i.e. (4,1) and (0,3)
b) LP relaxation solving involves not considering x1 and x2 as integer and finding the optimal solution from all the 4 feasible points
point (0,3) value of objective= 1*0+1*3= 3
Point(1.42, 2.78)= 1.42+2.78 =4.2
Point(4,1) = 4+1 = 5
Point(4.5,0) = 4.5+0 = 4.5
so optimal solution is (4,1) as the maximized value is 5
c) optiml integer solution only consdier the feasible integer points
Among all the integer points (4,1) gives highest value of 5 so it is the optimal integer solution
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