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Linear Programming Test - 32

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Linear Programming Test - 32
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  • Question 1
    1 / -0

    Determine graphically the minimum value of the objective function. \(Z=-50 x+20 y\)

    Subject to constraints

    \(2 x-y \geq-5 \)

    \(3 x+y \geq 3 \)

    \(2 x-3 y \leq 12 \)

    \(x \geq 0, y \geq 0\)

    Solution

    Given objective function is \(Z=-50 x+20 y\).

    We have to minimize \(Z\) on given constraints

    \(2 x-y \geq-5 \)

    \(3 x+y \geq 3 \)

    \(2 x-3 y \leq 12 \)

    \(x \geq 0, y \geq 0\)

    After plotting all the constraints we get the common region (Feasible region) as shown in the image.

    There are four corner points \((0,5),(0,3),(1,0)\) and \((6,0)\)

    Now, at corner points value of \(Z\) are as follows:

    \(\begin{array}{|l|l|} \hline Corner~ Points & Value ~of ~Z=-50 x+20 y \\ \hline (0,5) & 100 \\ \hline (0,3) & 60 \\ \hline (1,0) & -50 \\ \hline (6,0) & -300 (minimum) \\ \hline \end{array}\)

    Since common region is unbounded. So, value of \(Z\) may be minimum at \((6,0)\) and minimum value may be \(-300\).

    Now to check if this minimum is correct or not, we have to draw region \(-50 x+20 y \leq-300\)

    Since, there are some common region with feasible region(See image). So, \(-300\) will not be minimum value of \(Z\).

    So, \(Z\) has no minimum value.

  • Question 2
    1 / -0

    Maximize \(\mathrm{Z}=\mathrm{x}+2 \mathrm{y}\), subject to the constraints

    \(\mathrm{x}+2 \mathrm{y} \geq 100 \)

    \(2 \mathrm{x}-\mathrm{y} \leq 0 \)

    \(2 \mathrm{x}+\mathrm{y} \leq 200\)

    \(\mathrm{x}, \mathrm{y} \geq 0\) by graphical method.

    Solution

    Given:

    Maximize \(\mathrm{Z}=\mathrm{x}+2 \mathrm{y}\)

    \(\mathrm{x}+2 \mathrm{y} \geq 100 \)

    \(2 \mathrm{x}-\mathrm{y} \leq 0 \)

    \(2 \mathrm{x}+\mathrm{y} \leq 200\)

    \(\mathrm{x}, \mathrm{y} \geq 0\)

    On solving equations \(2 \mathrm{x}-\mathrm{y}=0\) and \(\mathrm{x}+2 \mathrm{y}=100\) we get point \(\mathrm{B}(20,40)\)

    On solving \(2 \mathrm{x}-\mathrm{y}=0\) and \(2 \mathrm{x}+\mathrm{y}=200\) we get \(\mathrm{C}(50,100)\)

    \(\therefore\) Feasible region is shown by ABCDA

    The corner points of the feasible region are:

    \(\mathrm{A}(0,50), \mathrm{B}(20,40), \mathrm{C}(50,100), \mathrm{D}(0,200)\)

    Let us evaluate the objective function \(\mathrm{Z}\) at each corner points:

    At \(\mathrm{A}(0,50), \quad \mathrm{Z}=0+100=100\)

    At \(\mathrm{B}(20,40), \mathrm{Z}=20+80=100\)

    At \(\mathrm{C}(50,100), \mathrm{Z}=50+200=250\)

    At \(\mathrm{D}(0, 200), \mathrm{Z}=0+400=400\)

    So, Maximum value of \(\mathrm{Z}\) is 400.

  • Question 3
    1 / -0

    Consider a Linear Programming function\(Z=2 x+5 y\) subjected to constraints\(x+4 y \leq 24,~3 x+y \leq 21\) and \(x+\) \(y \leq 9\)where, \(x \geq 0\) and \(y \geq 0\). What will be the maximum value of the Linear programming function?

    Solution

    It is given that \(Z=2 x+5 y\) and it is subject to constraints:

    \(x+4 y \leq 24\)

    \(3 x+y \leq 21\)

    \(x+\) \(y \leq 9\)

    \(x \geq 0\);

    \(y \geq 0\)

    Converting into equation format,

    \(x+4 y = 24\) ...(1)

    \(3 x+y = 21\) ...(2)

    \(x+\) \(y = 9\) ...(3)

      x=0 y=0
    x + 4y = 24 y=6 x=24
    3x+y = 21 y = 21 x = 7
    x + y = 9 9 9

     

    The corner points of this common region (shaded region) are: O(0,0), A(7,0), B(6,3), C(4,5), D(0,6).

    x+4y = 24 and x+y = 9 intersects at C. From, (1) and (3) coordinates of C is (4,5).

    3x+y = 21 and x+y = 9 intersects at B. From, (2) and (3) coordinates of B is (6,3).

    Now, the following table shows that which corner point shows maximizing and minimizing value.

    Corner Points Z = 2x + 5y
    O = (0, 0) 0
    A = (7, 0) 14
    B = (6, 3) 27
    C = (4, 5) 33
    D = (0, 6) 30


    So, 33 is the maximum value of Z and it occurs at C.

  • Question 4
    1 / -0

    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 12 hours whereas machine III must be operated for atleast 5 hours a day. She produces only two items M and N each requiring the use of all the three machines. The number of hours required for producing 1 unit of each of M and N on the three machines are given in the following table:

    Items Number of hours required on machines
    I II III
    M 1 2 1
    N 2 1 1.25

    She makes a profit of Rs 600 and Rs 400 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?

    Solution

    Let x and y be the number of items M and N respectively.

    Total profit on the production = Rs \((600 x + 400 y)\)

    Mathematical formulation of the given problem is as follows:

    Maximise \(Z = 600 x + 400 y\)

    subject to the constraints:

    \( x+2 y \leq 12 \) (constraint on Machine I) \(\quad\quad\quad~~~~\)...(1)

    \( 2 x+y \leq 12\) (constraint on Machine II) \(\quad\quad\quad~~~~\)...(2)

    \( x+\frac{5}{4} y \geq 5 \) (constraint on Machine III) \(\quad\quad\quad~~~~\)...(3)

    \( x \geq 0, y \geq 0\)\(\quad\quad\quad~~~~\)...(4)

    Let us draw the graph of constraints (1) to (4). ABCDE is the feasible region (shaded) as shown in figure determined by the constraints (1) to (4). From equation (1) and (2) we get intersection point C (4, 4). Observe that the feasible region is bounded, coordinates of the corner points A, B, C, D and E are \((5,0), (6,0), (4,4), (0,6)\) and \((0,4)\) respectively.

    Let us evaluate \(Z = 600 x + 400 y\) at these corner points.

    Corner point Z=600x+400y
    A (5,0) 3000
    B (6,0) 3600
    C (4,4) 4000 \(\leftarrow\) (Maximum)
    D (0,6) 2400
    E (0,4) 1600

    We see that the point (4, 4) is giving the maximum value of Z. Hence, the
    manufacturer has to produce 4 units of each item to get the maximum profit of Rs 4000

  • Question 5
    1 / -0

    Maximam value of : \(Z=10 x+25y\) Subject to:

    \(x \leq 3, y \leq 3, x+y \leq 5, x \geq 0, y \geq 0\) at:

    Solution

    Given:

    \(Z=10 x+25y\)

    Subject to: \(x \leq 3, y \leq 3, x+y \leq 5, x \geq 0, y \geq 0\)

    First we draw the lines AB, CD and EF whose equations are x = 3, y = 3 and x + y = 5 respectively.

    Line Equation Point on the
    X-axis
    Point on the
    Y-axis
    Sign Region
    AB x = 3 A(3,0) - origin side of line AB
    CD y = 3 - D(0,3) origin side of line CD
    EF x + y = 5 E(5,0) F(0,5) origin side of line EF

    The feasible region is OAPQDO which is shaded in the figure.

    The vertices of the feasible region are O (0,0), A (3, 0), P, Q and D (0, 3)

    P is the point of intersection of the lines x + y = 5 and x = 3

    Substituting x = 3 in x + y = 5, we get,3+ y=5

    y = 2

    P= (3, 2)

    Q is the point of intersection of the lines x + y = 5 and y = 3

    Substituting y = 3 in x + y = 5, we get,

    x + 3 = 5

    x = 2

    Q = (2,3)

    The values of the objective function z = 10x + 25y at these vertices are

    Z(O) 10(0)+ 25(0) 0
    Z(A) 10(3) + 25(0) 30
    Z(P) 10(3) + 25(2) = 30 + 50 80
    Z(Q) 10(2) + 25(3) = 20 + 75 95
    Z(D) 10(0) + 25(3) 75

    Z has maximum value of 95, when x = 2 and y = 3.

  • Question 6
    1 / -0

    For the following LPP:

    \(\text { Max. } Z=-0.1 x_{1}+0.5 x_{2} \)

    \(2 x_{1}+5 x_{2} \leq 80 \)

    \(x_{1}+x_{2} \leq 20 \)

    \(x_{1}, x_{2} \geq 0\)

    to get the optimum solution, the values of \(x_{1}, x_{2}\) are:

    Solution

    Given:

    \(\text { Max. } Z=-0.1 x_{1}+0.5 x_{2} \)

    \(2 x_{1}+5 x_{2} \leq 80 \)

    \(x_{1}+x_{2} \leq 20 \)

    \(x_{1}, x_{2} \geq 0\)

    Convert the inequality constraints into equations, we have

    \(2 x_{1}+5 x_{2}=80 \) ...(1)

    \(x_{1}+x_{2}=20\) ...(2)

    \(2 \mathrm{x}_{1}+5 \mathrm{x}_{2}=80\) passes through the point \((0,16)\) and \((40,0)\).

    \(x_{1}+x_{2}=20\) passes through the point \((0,20)\) and \((20,0)\).

    Now, the co ordinates of the pointA=(0,16), B=(20,0);

    From (1) and (2),intersection pointC= \((\frac{20}{3}, \frac{40}{3})\),

    intersection point Coordinate points Value of \(Z\)
    A (0,16) 8
    B (20,0) -2
    C \((\frac{20}{3}, \frac{40}{3})\) 0.066

    Here, maximum value occurs at \((0,16)\)

    For given

    \(\text { Max. } Z=-0.1 x_{1}+0.5 x_{2} \)

    \(2 x_{1}+5 x_{2} \leq 80 \)

    \(x_{1}+x_{2} \leq 20 \)

    \(x_{1}, x_{2} \geq 0\)

    to get the optimum solution, the values of \(\mathrm{x}_{1}, \mathrm{x}_{2}\) are \((0,16)\).

  • Question 7
    1 / -0

    The feasible region (shaded) for a L.P.P is shown in the figure. The maximum \(\mathrm{Z}=5 \mathrm{x}+\) \(7 y\) is:

    Solution

    Given:

    \(Z=5 x+7 y\) and feaslble reglon \(O A B C\).

    The corner points of the feasible region are \(O(0,0), A(7,0), B(3,4)\) and \(C(0,2)\). On evaluating the value of \(Z\), we get

    \(\begin{array}{|l|l|} \hline \text{Corner points} & \text{Value of Z} \\ \hline O(0,0) & Z=5(0)+7(0)=0 \\ \hline A(7,0) & Z=5(7)+7(0)=35 \\ \hline B(3,4) & Z=5(3)+7(4)=43 \\ \hline C(0, 2) & Z=5(0)+7(2)=14 \\ \hline \end{array}\)

    From the above table it's seen that the maximum value of \(Z\) is 43 .

    Therefore, the maximum value of the function \(Z\) is 43 at \((3,4)\).

  • Question 8
    1 / -0

    How many maximum value is there in the Linear Programming function given by\(z=x+y\), subjected to \(x-y \leq-1, ~-x+y \leq 0,~\text{and}~ x, y \leq 0\) conditions?

    Solution

    It is given that,\( z = x + y\) is subjected to condition:

    \(x-y \leq-1\)

    \(-x+y \leq 0\)

    \(x, y \geq 0\)

    Now, converting inequalities into an equation format.

    \(x - y = -1\)...(i)

    \( -x + y = 0\)...(ii)

    The following table shows the values \(z\), when it is subjected to conditions (i) and (ii);

      \(x=0\) \(x=1\) \(x=-1\)
    \(x-y\leq1\) \(y = 1\) \(y =2\) \(y=0\)
    \(-x+y \leq0\) \(y=0\) \(y=1\) \(y=1\)

    When the above mentioned values are placed in a graph. The graph shows that there is no feasible region. So, there is no maximum value in the given Linear Programming function.
     
  • Question 9
    1 / -0

    Solve the linear programming problem by graphical method:

    Minimize \(Z=3 x+2 y\) Subject to the constraints \(x+y \geq 8,3 x+5 y \leq 15\) and \(x \geq 0, y \leq 15\).

    Solution

    Given:

    \(Z=3 x+2 y\) Subject to the constraints \(x+y \geq 8,3 x+5 y \leq 15\) and \(x \geq 0, y \leq 15\)

    Converting the glven In equatlons Into the equatlons:

    \(x+y=8 \ldots \)(1)

    \(3 x+5 y=15 \)(2)

    \(y=15 \ldots\)(3)

    Reglon represented by \(x+y \geq 8\) :

    The line \(x+y=8\) meets the coordinate axis at \(C(8,0)\) and \(D(0,8)\).

    Table for \(x+y=8\)

    \(\begin{array}{|l|l|l|} \hline X & 8 & 0 \\ \hline y & 0 & 8 \\ \hline \end{array}\)

    \(\mathrm{A}(8,0) ; \mathrm{B}(0,8)\)

    Join the points \(C\) and \(D\) to obtain the line.

    We find that the point \((0,0)\) does not satisfy the in equation \(x+y>8\)

    So, the region opposite to the origin represents the solution set to the in equation.

    Reglon represented by \(3 x+5 y \leq 15:\)

    The line \(3 x+5 y=15\) meets the coordinate axis at \(C(5,0)\) and \(D(0,3)\)

    Table for \(3 x+5 y=15\)

    \(\begin{array}{|l|l|l|} \hline X & 5 & 0 \\ \hline y & 0 & 3 \\ \hline \end{array}\)

    \(C(5,0) ; \mathrm{D}(0,3)\)

    Join the points \(C\) and \(D\) to obtain the line.

    Clearly \((0,0)\) satisfies the in equation \(3 x+5 y \leq 15\).

    So, the region containing the origin represents the solution set of this in equation.

    Reglon represented by \(y \leq 15\) :

    Line \(y=15\) is parallel to \(x\)-axis, its each point will satisfy the in equation in first quadrant.

    So, its solution region will be towards origin.

    Reglon represented by \(x \geq 0\) and \(y \geq 0\) :

    Since every point in the first quadrant satisfies these in equations.

    So the first quadrant is the region represented by the in equations \(x \geq 0\) and \(y \geq 0\).

     

    There is no any common region for solution.

     

  • Question 10
    1 / -0

    Maximize \(Z=3 x+5 y\) Subject to:

    \(x+2 y \leq 20 \)

    \(x+y \leq 15 \)

    \(y \leq 5 \)

    \(x, y \geq 0\)

    Solution

    Given:

    Maximize \(Z=3 x+5 y\) 

    Subject to:

    \(x+2 y \leq 20 \)

    \(x+y \leq 15 \)

    \(y \leq 5 \)

    \(x, y \geq 0\)

    We need to maximize \(\mathrm{Z}=3 x+5 y\)

    First, we will convert the given inequations into equations, we obtain the following equations:

    \(x+2 y=20, x+y=15, y=5, x=0\) and \(y=0\)

    The line \(x+2 y=20\) meets the coordinate axis at \(A(20,0)\) and \(B(0,10)\). Join these points to obtain the line \(x+2 y=20\), \((0,0)\) satisfies the inequation \(x+2 y \leq 20\).

    So, the region in \(x y\)-plane that contains the origin represents the solution set of the given equation.

    The line \(x+y=15\) meets the coordinate axis at \(C(15,0)\) and \(D(0,15)\). Join these points to obtain the line \(x+y=15\). \((0,0)\) satisfies the inequation \(x+y \leq 15 .\) So, the region in \(x y\)-plane that contains the origin represents the solution set of the given equation.

    \(y=5\) is the line passing through \((0,5)\) and parallel to the \(X\) axis.The region below the line \(y=5\) will satisfy the given inequation.

    Region represented by \(x \geq 0\) and \(y \geq 0\) :

    Since, every point in the first quadrant satisfies these inequations. So, the first quadrant is the region represented by the inequations.

    These lines are drawn using a suitable scale.

     

    The corner points of the feasible region are \(O(0,0), C(15,0), E(10,5)\) and \(F(0,5)\) The values of \(Z\) at these corner points are as follows.

    \(\begin{array}{|l|l|} \hline \text{Corner point} & Z=3 x+5 y \\ \hline O(0,0) & 3 \times 0+5 \times 0=0 \\ \hline C(15,0) & 3 \times 15+5 \times 0=45 \\ \hline E(10,5) & 3 \times 10+5 \times 5=55 \\ \hline F(0,5) & 3 \times 0+5 \times 5=25 \\ \hline \end{array}\)

    We see that the maximum value of the objective function \(Z\) is 55 which is at \(E(10,5)\).

    Thus, the optimal value of \(Z\) is 55.

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