English

Solve the following Linear Programming Problems graphically: Maximise Z = 3x + 2y subject to x + 2y ≤ 10, 3x + y ≤ 15, x, y ≥ 0.

Advertisements
Advertisements

Question

Solve the following Linear Programming Problems graphically:

Maximise Z = 3x + 2y

subject to x + 2y ≤ 10, 3x + y ≤ 15, x, y ≥ 0.

Sum
Advertisements

Solution

The system of constraints is

x + 2y ≤ 10                   ....(i)

3x + y ≤ 15                   ....(ii)

and x, y ≥ 0                 ....(iii)

Let l1 : x + 2y = 10

l2 : 3x + y =15

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

It is observed that the feasible region OCEB is bounded.

Thus, we use the Corner Point Method to determine the maximum value of Z.

We have: Z = 3x + 2y                   ....(iv)

The coordinates of O, C, E and B are (0, 0) (5, 0), (4, 3) (solving x + 2y = 10, 3x + y = 15) and (0, 5) respectively.

Corner point Corresponding values of Z
(0, 0) 0
(5, 0) 15
(4, 3) 18 (Maximum)
(0, 5) 10

Hence Zmax = 18 at (4, 3).

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 5 | Page 514

RELATED QUESTIONS

Solve the following Linear Programming Problems graphically:

Minimise Z = 3x + 5y

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


Solve the following Linear Programming Problems graphically:

Minimise Z = x + 2y

subject to 2x + y ≥ 3, x + 2y ≥ 6, x, y ≥ 0.


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

Minimise and Maximise Z = 5x + 10 y

subject to x + 2y ≤ 120, x + y ≥ 60, x – 2y ≥ 0, x, y ≥ 0.


Refer to Example 9. How many packets of each food should be used to maximize the amount of vitamin A in the diet? What is the maximum amount of vitamin A in the diet?


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.


To maintain his health a person must fulfil certain minimum daily requirements for several kinds of nutrients. Assuming that there are only three kinds of nutrients-calcium, protein and calories and the person's diet consists of only two food items, I and II, whose price and nutrient contents are shown in the table below:
 

  Food I
(per lb)
  Food II
(per lb)
    Minimum daily requirement
for the nutrient
 Calcium 10   5     20
Protein 5   4     20
 Calories 2   6     13
 Price (Rs) 60   100      


What combination of two food items will satisfy the daily requirement and entail the least cost? Formulate this as a LPP.


Determine the maximum value of Z = 11x + 7y subject to the constraints : 2x + y ≤ 6, x ≤ 2, x ≥ 0, y ≥ 0.


Maximise the function Z = 11x + 7y, subject to the constraints: x ≤ 3, y ≤ 2, x ≥ 0, y ≥ 0.


The feasible region for a LPP is shown in Figure. Find the minimum value of Z = 11x + 7y


Refer to question 13. Solve the linear programming problem and determine the maximum profit to the manufacturer


Refer to question 14. How many sweaters of each type should the company make in a day to get a maximum profit? What is the maximum profit.


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


In order to supplement daily diet, a person wishes to take some X and some wishes Y tablets. The contents of iron, calcium and vitamins in X and Y (in milligrams per tablet) are given as below:

Tablets Iron Calcium Vitamin
X 6 3 2
Y 2 3 4

The person needs atleast 18 milligrams of iron, 21 milligrams of calcium and 16 milligrams of vitamin. The price of each tablet of X and Y is Rs 2 and Rs 1 respectively. How many tablets of each should the person take in order to satisfy the above requirement at the minimum cost?


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.


Refer to Question 27. (Maximum value of Z + Minimum value of Z) is equal to ______.


In a LPP, the objective function is always ______.


If the feasible region for a LPP is ______ then the optimal value of the objective function Z = ax + by may or may not exist.


In a LPP if the objective function Z = ax + by has the same maximum value on two corner points of the feasible region, then every point on the line segment joining these two points give the same ______ value.


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:


A linear programming problem is as follows:

Minimize Z = 30x + 50y

Subject to the constraints: 3x + 5y ≥ 15, 2x + 3y ≤ 18, x ≥ 0, y ≥ 0

In the feasible region, the minimum value of Z occurs at:


In a linear programming problem, the constraints on the decision variables x and y are x − 3y ≥ 0, y ≥ 0, 0 ≤ x ≤ 3. The feasible region:


Objective function of a linear programming problem is ____________.


A linear programming problem is one that is concerned with ____________.


A maximum or a minimum may not exist for a linear programming problem if ____________.


In a LPP, the objective function is always ____________.


Maximize Z = 4x + 6y, subject to 3x + 2y ≤ 12, x + y ≥ 4, x, y ≥ 0.


Maximize Z = 7x + 11y, subject to 3x + 5y ≤ 26, 5x + 3y ≤ 30, x ≥ 0, y ≥ 0.


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


The feasible region for an LPP is shown shaded in the following figure. Minimum of Z = 4x + 3y occurs at the point.


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


Which statement defines an Optimisation Problem?


Which inequality is one of the given resource constraints in the formulation with objective function \[Z=250x+75y\]?


Linear Programming is a method of optimisation under which type of constraints?


What are restrictions on decision variables called in linear programming?


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×