English

Solve the following Linear Programming Problems graphically: Minimise Z = 3x + 5y such that x + 3y ≥ 3, x + y ≥ 2, x, y ≥ 0.

Advertisements
Advertisements

Question

Solve the following Linear Programming Problems graphically:

Minimise Z = 3x + 5y

such that x + 3y ≥ 3, x + y ≥ 2, x, y ≥ 0.

Sum
Advertisements

Solution

The system of constraints is:

x + 3y ≥ 3              ....(i)

x + y ≥ 2            ....(ii)

and x, y ≥ 0           ....(iii)

Let l1 : x + 3y = 3

l2 : x + y = 2

The shaded region in the figure is the feasible region determined by the system of constraints (i) to (iii).

The feasible region is unbounded.

We use the corner point method to determine the minimum value of Z,

We have,

Z = 3x + 5y

The co-ordinated of A, E and D are (3, 0), `(3/2, 1/2).`

(on solving x + 3y = 3 and  x + y = 2) and (0, 2)  respectively.

We evaluate Z at each corner point

Corner point Corresponding value of Z
(3, 0) 9
`(3/2, 1/2)` 7 (Minimum) 
(0, 2) 10

Now, Since the region is unbounded we need to check whether 7 is the minimum value or not. To decide this, we graph the inequality 3x + 5y < 7.

Now, in the graph, we observe that 7 does not have points in common with a feasible region.

So, 7 is the minimum value at Z.

Hence, Zmin = 7 at `(3/2, 1/2)`

shaalaa.com
  Is there an error in this question or solution?
Chapter 12: Linear Programming - Exercise 12.1 [Page 514]

APPEARS IN

NCERT Mathematics Part 1 and 2 [English] Class 12
Chapter 12 Linear Programming
Exercise 12.1 | Q 4 | Page 514

RELATED QUESTIONS

Two tailors, A and B, earn Rs 300 and Rs 400 per day respectively. A can stitch 6 shirts and 4 pairs of trousers while B can stitch 10 shirts and 4 pairs of trousers per day. To find how many days should each of them work and if it is desired to produce at least 60 shirts and 32 pairs of trousers at a minimum labour cost, formulate this as an LPP


Solve the following Linear Programming Problems graphically:

Maximise Z = 3x + 4y

subject to the constraints : x + y ≤ 4, x ≥ 0, y ≥ 0.


Solve the following Linear Programming Problems graphically:

Minimise Z = – 3x + 4 y

subject to x + 2y ≤ 8, 3x + 2y ≤ 12, x ≥ 0, y ≥ 0.


Show that the minimum of Z occurs at more than two points.

Maximise Z = x + y, subject to x – y ≤ –1, –x + y ≤ 0, x, y ≥ 0.


A small firm manufactures necklaces and bracelets. The total number of necklaces and bracelets that it can handle per day is at most 24. It takes one hour to make a bracelet and half an hour to make a necklace. The maximum number of hours available per day is 16. If the profit on a necklace is Rs 100 and that on a bracelet is Rs 300. Formulate on L.P.P. for finding how many of each should be produced daily to maximize the profit?

It is being given that at least one of each must be produced.


Maximise Z = 3x + 4y, subject to the constraints: x + y ≤ 1, x ≥ 0, y ≥ 0


Refer to Exercise 7 above. Find the maximum value of Z.


A man rides his motorcycle at the speed of 50 km/hour. He has to spend Rs 2 per km on petrol. If he rides it at a faster speed of 80 km/hour, the petrol cost increases to Rs 3 per km. He has atmost Rs 120 to spend on petrol and one hour’s time. He wishes to find the maximum distance that he can travel. Express this problem as a linear programming problem


Refer to quastion 12. What will be the minimum cost?


Refer to question 15. Determine the maximum distance that the man can travel.


A company makes 3 model of calculators: A, B and C at factory I and factory II. The company has orders for at least 6400 calculators of model A, 4000 calculator of model B and 4800 calculator of model C. At factory I, 50 calculators of model A, 50 of model B and 30 of model C are made every day; at factory II, 40 calculators of model A, 20 of model B and 40 of model C are made everyday. It costs Rs 12000 and Rs 15000 each day to operate factory I and II, respectively. Find the number of days each factory should operate to minimise the operating costs and still meet the demand.


The corner points of the feasible region determined by the system of linear constraints are (0, 0), (0, 40), (20, 40), (60, 20), (60, 0). The objective function is Z = 4x + 3y ______.

Compare the quantity in Column A and Column B

Column A Column B
Maximum of Z 325

The feasible solution for a LPP is shown in Figure. Let Z = 3x – 4y be the objective function. Minimum of Z occurs at ______.


In a LPP, the linear inequalities or restrictions on the variables are called ____________.


A corner point of a feasible region is a point in the region which is the ______ of two boundary lines.


If the feasible region for a LPP is unbounded, maximum or minimum of the objective function Z = ax + by may or may not exist.


Maximum value of the objective function Z = ax + by in a LPP always occurs at only one corner point of the feasible region.


In a LPP, the minimum value of the objective function Z = ax + by is always 0 if the origin is one of the corner point of the feasible region.


In the given graph, the feasible region for an LPP is shaded. The objective function Z = 2x – 3y will be minimum at:


For an objective function Z = ax + by, where a, b > 0; the corner points of the feasible region determined by a set of constraints (linear inequalities) are (0, 20), (10, 10), (30, 30) and (0, 40). The condition on a and b such that the maximum Z occurs at both the points (30, 30) and (0, 40) is:


Objective function of a linear programming problem is ____________.


In Corner point method for solving a linear programming problem, one finds the feasible region of the linear programming problem, determines its corner points, and evaluates the objective function Z = ax + by at each corner point. If M and m respectively be the largest and smallest values at corner points then ____________.


In Corner point method for solving a linear programming problem, one finds the feasible region of the linear programming problem, determines its corner points, and evaluates the objective function Z = ax + by at each corner point. Let M and m respectively be the largest and smallest values at corner points. In case feasible region is unbounded, M is the maximum value of the objective function if ____________.


If two corner points of the feasible region are both optimal solutions of the same type, i.e., both produce the same maximum or minimum.


In a LPP, the objective function is always ____________.


The feasible region for an LPP is shown shaded in the figure. Let Z = 3x - 4y be the objective function. Minimum of Z occurs at ____________.


Maximize Z = 10×1 + 25×2, subject to 0 ≤ x1 ≤ 3, 0 ≤ x2 ≤ 3, x1 + x2 ≤ 5.


In the expression \[Z=250x+75y\], which quantities are the decision variables?


What are constraints in a Linear Programming Problem?


Which statement defines an Optimisation Problem?


Which other constraint must be satisfied together with \[5x+y\leq 100\] in the profit-maximization formulation?


Which component must always be included in a Linear Programming Problem?


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×