Solve the following LPP graphically:  

Maximize    Z  = 5x + 3y  

Subject to  

           3x + 5y ≤ 15  

           5x + 2y ≤ 10 

And,    xy ≥ 0.


Correct option is


Converting the given in-equations into equations, we obtain the following equations:  

      3x + 5y = 15, 5x + 2y = 10, x = 0 and y = 0   

Region represented by 3x + 5y ≤ 15: The line 3x + 5y = 15 meets the coordinate axes at A(5, 0) and B1 (0, 3) respectively. Join these points to obtain the line 3x + 5y = 15. Clearly, (0, 0) satisfies the in-equation 3x + 5y≤ 15. So, the region containing the origin represents the solution set of the in-equation 3x + 5y ≤ 15. 

Region represented by 5x + 2y ≤ 10: The line 5x + 2y = 10 meets the coordinate axes at A2 (2, 0) and B2 (0, 5) respectively. Join these points to obtain the line 5x + 2y = 10. Clearly, (0, 0) satisfies the in-equation 5x + 2y≤ 10. So, the region containing the origin represents the solution set of this in-equation. 

Region represented by x ≥ 0 and y ≥ 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 ≥ 0 and y ≥ 0. 

The shaded region OA2 PB1 in fig. represents the common region of the above in-equations. This region is the feasible region of the given LPP.


The co-ordinates of the vertices (corner-points) of the shaded feasible region are O (0, 0), A2 (2, 0),  and B1 (0, 3).

These points have been obtained by solving the equations of the corresponding intersecting lines, simultaneously.

The values of the objective function at these points are given in the following table.

Point (xy)                              Value of the objective function

                                                          Z = 5x + 3y

O (0, 0)                                    Z = 5 × 0 + 3 × 0 = 0

A2 (2, 0)                                   Z = 5 × 2 + 3 × 0 = 10


B1 (0, 3)                                   Z = 5 × 0 + 3 × 3 = 9

Clearly, Z is maximum at . Hence,  is the optimal solution of the given LPP. The optimal value of Z is 



A resourceful home decorator manufactures two types of lamps say A andB. Both lamps go through two technicians, first a cutter, second a finisher. Lamp A requires 2 hours of the cutter’s time and 1 hour of the finisher’s time. Lamp B requires 1 hour of cutter’s and 2 hours of finisher’s time. The cutter has 104 hours and finisher has 76 hours of time available each month. Profit on one lamp A is Rs. 6.00 and on one lamp B is Rs 11.00. Assuming that he can sell all that he produces, how many of each type of lamps should he manufacture to obtain the best return.


A company makes two kinds of leather belts, A and B. Belt A is high quality belt, and B is of lower quality. The respective profits are Rs 4 and Rs 3 per belt. Each belt of type A requires twice as much time as a belt of type B, and if all belts were of type B, the company could make 1000 belts per day. The supply of leather is sufficient for only 800 belts per day (bothA and B combined). Belt A requires a fancy buckle, and only 400 buckles per day are available. There are only 700 buckles available for belt B. What should be the daily production of each type of belt? Formulate the problem as a LPP.     


A dietician whishes to mix two types of food in such a way that the vitamin contents of the mixture contain at least 8 units of Vitamin A and 10 units of vitamin C. Food ‘I’ contains 2 units per kg of vitamin A and 1 unit per kg of vitamin C while food ‘II’ contains 1 unit per kg of vitamin A and 2 units per kg of vitamin C. It costs Rs 5.00 per kg to purchase food ‘I’ and Rs 7.00 per kg to produce food ‘II’. Formulate the above linear programming problem to minimize the cost of such a mixture.   


A diet is to contain at least 400 units of carbohydrate, 500 units of fat, and 300 units of protein. Two foods are available: F1 which costs Rs 2 per unit, and F2 which costs Rs 4 per unit. A unit of food F1 contains 10 units of carbohydrate, 20 units of fat, and 15 units of protein; a unit of food F2 contains 25 units of carbohydrate, 10 units of fat, and 20 unit of protein. Find the minimum cost for a diet consists of a mixture of these two foods and also meets the minimum nutrition requirements. Formulate the problem as a linear programming problem.


The objective of a diet problem is to ascertain the quantities of certain foods that should be eaten to meet certain nutritional requirement at minimum cost. The consideration is limited to milk, beaf and eggs, and to vitamins ABC. The number of milligrams of each of these vitamins contained within a unit of each food is given below:


Litre of milk

Kg of beaf

Dozen of eggs

Minimum daily requirements













1 mg

50 mg

10 mg


Rs 1.00

Rs 1.10

Re 0.50


What is the linear programming formulation for this problem?



There is a factory located at each of the two places P and Q. From these locations, a certain commodity is delivered to each of the three depots situated at AB and C. The weekly requirements of the depots are respectively 5, 5 and 4 units of the commodity while the production capacity of the factories at P and Q are 8 and 6 units respectively. The cost of transportation per unit is given below.   



Cost (in Rs)













How many units should be transported from each factory to each in order that the transportation cost is minimum. Formulate the above as a linear programming problem.              



A brick manufacturer has two depots, A and B, with stocks of 30,000 and 20,000 bricks respectively. He receives orders from three builders PQand R for 15,000, 20,000 and 15,000 bricks respectively. The cost in Rs of transporting 1000 bricks to the builders from the depots are given below:














How should the manufacturer fulfil the orders so as to keep the cost of transportation minimum?

Formulate the above linear programming problem.


A company is making two products A and B. The cost of producing one unit of products A and B are Rs 60 and Rs 80 respectively. As per the agreement, the company has to supply at least 200 units of product B to its regular customers. One unit product A requires one machine hour whereas product B has machine hours available abundantly within the company. Total machine hours available for product A are 400 hours. One unit of each product A and B requires one labour hour each and total of 500 labour hours are available. The company wants to minimize the cost of production by satisfying the given requirements. Formulate the problem as a LLP.



A firm manufactures two products, each of which must be processed through two departments, 1 and 2. The hourly requirements per unit for each product in each department, the weekly capacities in each department, selling price per unit, labour cost per unit, and raw material cost per unit are summarized as follows: 


Product A

Product B

Weekly capacity

Department 1




Department 2




Selling price per unit

Rs 25

Rs 30


Labour cost per unit

Rs 16

Rs 20


Raw material cost per unit

Rs 4

Rs 4


The problem is to determine the number of units of produce each product so as to maximize total contribution to profit. Formulate this as a LLP.



Solve the following LPP by graphical method: 

Minimize    Z = 20x + 10y  

Subject to   x + 2y ≤ 40

                   3x + y ≥ 30  

                   4x + 3y ≥ 60 

And,           xy ≥ 0