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Question: (Manufacturing problem) A manufacturer has three machines I, II and III installed in his factory. Ma...

(Manufacturing problem) A manufacturer has three machines I, II and III installed in his factory. Machines I and II are capable of being operated for at most 1212 hours whereas machine III must be operated for at least 55 hours a day. She produces only two items M and M each requiring the use of all the three machines. The number of hours required the use of all the three machines. The number of hours required for producing 11 unit of each of M and N on the three machines are given in the following table:

ItemsIIIIII
M112211
N22111.251.25

She makes a profit of Rs. 600600 and Rs. 400400 on items M and N respectively. How many of each item should she produce so as to maximise her profit assuming that she can sell all the items that she produced? What will be the maximum profit?

Explanation

Solution

This is a manufacturing problem where we have to find the maximum profit possible. Here, we use the concept of Linear Programming to maximize profit. We will assume the number of items to be variables and then form equations and plot graphs to find the feasible solution.

Complete answer: Let xx and yy be the number of items M and N respectively.
Total profit on the production == Rs. (600x+400y)\left( {600x + 400y} \right)
Let ZZ be the profit
Also, the maximum time for operation of machines I and II is 1212 hours and machine III is 55 hours a day. And the time required on each of the machines I, II and III by items M and N is 11 , 22 and 11 hours and 22 , 11 and 1.251.25 hours a day respectively.
Thus, the equation formulated as
Z=600x+400yZ = 600x + 400y
Subject to the constraints
x+2y12x + 2y \leqslant 12
2x+y122x + y \leqslant 12
x+54y5x + \dfrac{5}{4}y \geqslant 5
x0x \geqslant 0
y0y \geqslant 0
Consider a set of rectangular Cartesian axes OXY in the plane.
It is clear that any point which satisfies x0x \geqslant 0 , y0y \geqslant 0 lies in the first quadrant.
Now we draw the graph of x+2y=12x + 2y = 12
for x=0x = 0 , 2y=122y = 12 or y=6y = 6
for y=0y = 0 , x=12x = 12
\therefore Line meets OX in A (12,0)\left( {12,0} \right) and OY in L (0,6)\left( {0,6} \right)
Also we draw the graph of 2x+y=122x + y = 12
For x=0x = 0 , y=12y = 12
For y=0y = 0 , 2x=122x = 12 or x=6x = 6
\therefore Line meets OX in B (6,0)\left( {6,0} \right) and OY in M (0,12)\left( {0,12} \right)
Again we draw the graph of
x+54y=5x + \dfrac{5}{4}y = 5
For x=0x = 0 , 54y=5\dfrac{5}{4}y = 5 or y=4y = 4
For y=0y = 0 , x=5x = 5
\therefore Line meets OX in C (5,0)\left( {5,0} \right) and OY in N (0,4)\left( {0,4} \right)
Since feasible regions satisfies all the constraints
\therefore CBDLN is the feasible region

The corner points are C (5,0)\left( {5,0} \right) , B (6,0)\left( {6,0} \right) , D (4,4)\left( {4,4} \right) , L (0,6)\left( {0,6} \right) , N (0,4)\left( {0,4} \right)
At C (5,0)\left( {5,0} \right) , Z=600×5+400×0=3000+0=3000Z = 600 \times 5 + 400 \times 0 = 3000 + 0 = 3000
At B (6,0)\left( {6,0} \right) , Z=600×6+400×0=3600+0=3600Z = 600 \times 6 + 400 \times 0 = 3600 + 0 = 3600
At D (4,4)\left( {4,4} \right) , Z=600×4+400×4=2400+1600=4000Z = 600 \times 4 + 400 \times 4 = 2400 + 1600 = 4000
At L (0,6)\left( {0,6} \right) , Z=600×0+400×6=0+2400=2400Z = 600 \times 0 + 400 \times 6 = 0 + 2400 = 2400
At N (0,4)\left( {0,4} \right) , Z=600×0+400×4=0+1600=1600Z = 600 \times 0 + 400 \times 4 = 0 + 1600 = 1600
\therefore Maximum value =4000 = 4000 at (4,4)\left( {4,4} \right)
\therefore The manufacturer has to produce 44 units of each item to get the maximum profit of Rs. 40004000 .

Note:
Linear programming is a problem solving approach that has been developed to help managers to make decisions. Linear programming is a mathematical technique for determining the optimum allocation of resources and obtaining a particular objective when there are alternative uses of the resources, money, manpower, material, machine and other facilities.