Skip to main content
Chapter 10 of 10
NCERT Solutions

Linear Programming Problem — NCERT Solutions

CBSE · Class 12 · Applied Mathematics

NCERT Solutions for Linear Programming Problem, CBSE Class 12 Applied Mathematics: 13 textbook questions solved step by step.

49 questions22 flashcards5 concepts

Interactive on Super Tutor

Studying Linear Programming Problem? Get the full interactive chapter.

Quizzes, flashcards, AI doubt-solver and a step-by-step study plan — built for NCERT solutions and more.

Free trial, no card needed.

13 Questions Solved · 1 Section

The first 7 solutions are open to read. The other 6 are free with a Super Tutor account. Unlock all 13 free in Super Tutor

8.6 Check Your Progress

1To maintain his health, a person must fulfill 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:

| Nutrients | Food I (per lb) | Food II (per lb) | Minimum daily requirement |
|---|---|---|---|
| Calcium | 10 | 4 | 20 |
| Protein | 5 | 5 | 20 |
| Calories | 2 | 6 | 13 |
| Price (in Rs.) | 0.60 | 1.00 | |

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

Given:
Let xx = quantity (in lbs) of Food I purchased per day, and yy = quantity (in lbs) of Food II purchased per day.

Objective Function (Cost to be minimized):
Z=0.60x+1.00yZ = 0.60x + 1.00y

Constraints:

  • Calcium requirement: 10x+4y≥2010x + 4y \geq 20
  • Protein requirement: 5x+5y≥205x + 5y \geq 20
  • Calorie requirement: 2x+6y≥132x + 6y \geq 13
  • Non-negativity: x≥0, y≥0x \geq 0,\ y \geq 0

LPP Formulation:
Minimize Z=0.60x+1.00y\text{Minimize } Z = 0.60x + 1.00y
Subject to:\text{Subject to:}
10x+4y≥2010x + 4y \geq 20
5x+5y≥205x + 5y \geq 20
2x+6y≥132x + 6y \geq 13
x≥0, y≥0x \geq 0,\ y \geq 0

Not sure why a step works? check your working in Super Tutor

2Vitamins A and B are found in two different foods F1 and F2. One unit of food F1 contains 2 units of Vitamin A and 3 units of Vitamin B; one unit of food F2 contains 4 units of Vitamin A and 2 units of Vitamin B. One unit of food F1 and F2 cost ₹5 and ₹2.5 respectively. The minimum daily requirements for a person of Vitamin A and B are 40 and 50 units respectively. Find the optimum mixture of food F1 and F2 at minimum cost which meets the daily minimum requirement of Vitamin A and B. Formulate this problem as an LPP.Show solution

Given:
Let xx = number of units of food F1 consumed per day, and yy = number of units of food F2 consumed per day.

Objective Function (Cost to be minimized):
Z=5x+2.5yZ = 5x + 2.5y

Constraints:

  • Vitamin A requirement: 2x+4y≥402x + 4y \geq 40
  • Vitamin B requirement: 3x+2y≥503x + 2y \geq 50
  • Non-negativity: x≥0, y≥0x \geq 0,\ y \geq 0

LPP Formulation:
Minimize Z=5x+2.5y\text{Minimize } Z = 5x + 2.5y
Subject to:\text{Subject to:}
2x+4y≥402x + 4y \geq 40
3x+2y≥503x + 2y \geq 50
x≥0, y≥0x \geq 0,\ y \geq 0

(Note: The answer key lists the first constraint as 2x+4y≥02x+4y\geq 0, which appears to be a misprint; the correct constraint derived from the data is 2x+4y≥402x+4y\geq 40.)

Not sure why a step works? check your working in Super Tutor

3A brick manufacturer has two depots, A and B with stocks of 30,000 and 20,000 bricks respectively. He receives orders from three builders P, Q and R for 15,000, 20,000 and 15,000 bricks respectively. The cost (in Rs.) of transporting 1,000 bricks to the builders from the depots are given below:

| From \ To | P | Q | R |
|---|---|---|---|
| A | 40 | 20 | 30 |
| B | 20 | 60 | 40 |

How should the manufacturer fulfil the orders so as to keep the cost of transportation minimum? Formulate the above problem as a linear programming problem.
Show solution

Given:
Let xx = number of thousands of bricks transported from depot A to builder P, and yy = number of thousands of bricks transported from depot A to builder Q.

Since total order of P = 15 (thousand), Q = 20 (thousand), R = 15 (thousand):

  • Bricks sent from A to R = 30−x−y30 - x - y (thousands)
  • Bricks sent from B to P = 15−x15 - x (thousands)
  • Bricks sent from B to Q = 20−y20 - y (thousands)
  • Bricks sent from B to R = 15−(30−x−y)=x+y−1515 - (30 - x - y) = x + y - 15 (thousands)

Total Transportation Cost (in Rs.):
Z=40x+20y+30(30−x−y)+20(15−x)+60(20−y)+40(x+y−15)Z = 40x + 20y + 30(30-x-y) + 20(15-x) + 60(20-y) + 40(x+y-15)
=40x+20y+900−30x−30y+300−20x+1200−60y+40x+40y−600= 40x + 20y + 900 - 30x - 30y + 300 - 20x + 1200 - 60y + 40x + 40y - 600
=(40−30−20+40)x+(20−30−60+40)y+1800= (40-30-20+40)x + (20-30-60+40)y + 1800
=30x−30y+1800= 30x - 30y + 1800

Objective Function:
Minimize Z=30x−30y+1800\text{Minimize } Z = 30x - 30y + 1800

Constraints:

  • Stock at A: x+y≤30x + y \leq 30
  • Supply to P: x≤15x \leq 15
  • Supply to Q: y≤20y \leq 20
  • Non-negative supply from B to R: x+y≥15x + y \geq 15
  • Non-negativity: x≥0, y≥0x \geq 0,\ y \geq 0

LPP Formulation:
Minimize Z=30x−30y+1800\text{Minimize } Z = 30x - 30y + 1800
Subject to:\text{Subject to:}
x+y≤30x + y \leq 30
x≤15,y≤20x \leq 15,\quad y \leq 20
x+y≥15x + y \geq 15
x≥0, y≥0x \geq 0,\ y \geq 0

Not sure why a step works? check your working in Super Tutor

4A Cooperative Society of farmers has 50 hectares of land to grow two crops X and Y. The profit from crops X and Y per hectare are estimated as ₹10,500 and ₹9,000 respectively. To control weeds, a liquid herbicide has to be used for crops X and Y at the rate of 20 litres and 10 litres per hectare. Further, no more than 800 litres of herbicide should be used in order to protect fish and wildlife using a pond which collects drainage from this land. How much land should be allocated to each crop so as to maximize the total profit of the society? Formulate the above problem as a linear programming problem.Show solution

Given:
Let xx = number of hectares allocated to crop X, and yy = number of hectares allocated to crop Y.

Objective Function (Profit to be maximized):
Z=10500x+9000yZ = 10500x + 9000y

Constraints:

  • Total land: x+y≤50x + y \leq 50
  • Herbicide limit: 20x+10y≤80020x + 10y \leq 800, i.e., 2x+y≤802x + y \leq 80
  • Non-negativity: x≥0, y≥0x \geq 0,\ y \geq 0

LPP Formulation:
Maximize Z=10500x+9000y\text{Maximize } Z = 10500x + 9000y
Subject to:\text{Subject to:}
x+y≤50x + y \leq 50
2x+y≤802x + y \leq 80
x≥0, y≥0x \geq 0,\ y \geq 0

Not sure why a step works? check your working in Super Tutor

5A company has two grades of inspectors, I and II, to undertake quality control inspection. At least 1,500 pieces must be inspected in an 8-hour day. Grade I inspector can check 20 pieces in an hour with an accuracy of 96%. Grade II inspector checks 14 pieces an hour with an accuracy of 92%. Wages of Grade I Inspector are Rs. 5 per hour while those of Grade II Inspector are Rs. 4 per hour. Any error made by an inspector costs Rs. 3 to the company. There are, in all, 10 Grade I inspectors and 15 Grade II inspectors in the company. Find the optimal assignment of inspectors that minimizes the daily inspection cost. Formulate the above problem as a linear programming problem.Show solution

Given:
Let xx = number of Grade I inspectors assigned, and yy = number of Grade II inspectors assigned.

Cost Calculation per inspector per 8-hour day:

  • Grade I inspector wages per day: 5×8=Rs. 405 \times 8 = \text{Rs. }40
  • Grade I pieces checked per day: 20×8=16020 \times 8 = 160 pieces; error rate = 4%4\%; errors = 0.04×160=6.40.04 \times 160 = 6.4; error cost = 6.4×3=Rs. 19.206.4 \times 3 = \text{Rs. }19.20
  • Total cost per Grade I inspector per day: 40+19.20=Rs. 59.2040 + 19.20 = \text{Rs. }59.20
  • Grade II inspector wages per day: 4×8=Rs. 324 \times 8 = \text{Rs. }32
  • Grade II pieces checked per day: 14×8=11214 \times 8 = 112 pieces; error rate = 8%8\%; errors = 0.08×112=8.960.08 \times 112 = 8.96; error cost = 8.96×3=Rs. 26.888.96 \times 3 = \text{Rs. }26.88
  • Total cost per Grade II inspector per day: 32+26.88=Rs. 58.8832 + 26.88 = \text{Rs. }58.88

Objective Function (Daily cost to be minimized):
Z=59.20x+58.88yZ = 59.20x + 58.88y

Constraints:

  • Minimum pieces inspected: 160x+112y≥1500160x + 112y \geq 1500
  • Availability of Grade I: x≤10x \leq 10
  • Availability of Grade II: y≤15y \leq 15
  • Non-negativity: x≥0, y≥0x \geq 0,\ y \geq 0

LPP Formulation:
Minimize Z=59.20x+58.88y\text{Minimize } Z = 59.20x + 58.88y
Subject to:\text{Subject to:}
160x+112y≥1500160x + 112y \geq 1500
x≤10,y≤15x \leq 10,\quad y \leq 15
x≥0, y≥0x \geq 0,\ y \geq 0

Not sure why a step works? check your working in Super Tutor

6(i)Solve the following Linear Programming Problem graphically:
Maximize Z=3x+2yZ = 3x + 2y
Subject to the constraints:
−2x+y≤1-2x + y \leq 1,
x≤2x \leq 2,
x+y≤3x + y \leq 3,
and x≥0, y≥0x \geq 0,\ y \geq 0
Show solution

Step 1: Convert inequalities to equations and find intercepts.

  • Line L1L_1: −2x+y=1-2x + y = 1 → passes through (0,1)(0,1) and (−12,0)(-\frac{1}{2}, 0)
  • Line L2L_2: x=2x = 2 (vertical line)
  • Line L3L_3: x+y=3x + y = 3 → passes through (3,0)(3,0) and (0,3)(0,3)

Step 2: Find corner points of the feasible region.

  • Intersection of x=0x=0 and y=0y=0: A(0,0)A(0,0)
  • Intersection of x=0x=0 and −2x+y=1-2x+y=1: B(0,1)B(0,1)
  • Intersection of −2x+y=1-2x+y=1 and x+y=3x+y=3:

Subtracting: 3x=2⇒x=23, y=733x = 2 \Rightarrow x = \frac{2}{3},\ y = \frac{7}{3} → C(23,73)C\left(\frac{2}{3}, \frac{7}{3}\right)

  • Intersection of x=2x=2 and x+y=3x+y=3: y=1y=1 → D(2,1)D(2,1)
  • Intersection of x=2x=2 and y=0y=0: E(2,0)E(2,0)

Step 3: Evaluate Z=3x+2yZ = 3x + 2y at each corner point.

Corner PointZ=3x+2yZ = 3x + 2y
A(0,0)A(0,0)00
B(0,1)B(0,1)22
C(23,73)C\left(\frac{2}{3}, \frac{7}{3}\right)2+143=203≈6.672 + \frac{14}{3} = \frac{20}{3} \approx 6.67
D(2,1)D(2,1)6+2=86+2=8
E(2,0)E(2,0)66

Step 4: Conclusion.

The maximum value of ZZ is 8\boxed{8} at x=2, y=1x = 2,\ y = 1.

Not sure why a step works? check your working in Super Tutor

6(ii)Minimize Z=5x−2yZ = 5x - 2y
Subject to the constraints:
2x+3y≥12x + 3y \geq 1,
and x≥0, y≥0x \geq 0,\ y \geq 0
Show solution

Step 1: Find the boundary line and feasible region.

Line: 2x+3y=12x + 3y = 1 passes through (12,0)\left(\frac{1}{2}, 0\right) and (0,13)\left(0, \frac{1}{3}\right).

The feasible region is above this line (since 2x+3y≥12x+3y \geq 1) with x≥0, y≥0x \geq 0,\ y \geq 0.

Step 2: Find corner points.

  • Intersection of 2x+3y=12x+3y=1 and x=0x=0: y=13y = \frac{1}{3} → A(0,13)A\left(0, \frac{1}{3}\right)
  • Intersection of 2x+3y=12x+3y=1 and y=0y=0: x=12x = \frac{1}{2} → B(12,0)B\left(\frac{1}{2}, 0\right)

The feasible region is unbounded (extends to infinity).

Step 3: Evaluate Z=5x−2yZ = 5x - 2y at corner points.

Corner PointZ=5x−2yZ = 5x - 2y
A(0,13)A\left(0, \frac{1}{3}\right)0−23=−230 - \frac{2}{3} = -\frac{2}{3}
B(12,0)B\left(\frac{1}{2}, 0\right)52−0=52\frac{5}{2} - 0 = \frac{5}{2}

Step 4: Check for unboundedness.

As y→∞y \to \infty (with x=0x=0), Z=−2y→−∞Z = -2y \to -\infty. However, the minimum must occur at a corner point if the feasible region is bounded in the direction of minimization. Since the region is unbounded and ZZ can decrease without bound along the yy-axis, we check the corner point AA.

At A(0,13)A\left(0, \frac{1}{3}\right), Z=−23Z = -\frac{2}{3}.

Conclusion:

The minimum value of ZZ is −23\boxed{-\dfrac{2}{3}} at x=0, y=13x = 0,\ y = \dfrac{1}{3}.

Not sure why a step works? check your working in Super Tutor

6(iii)Minimize Z=−x+2yZ = -x + 2y
Subject to the constraints:
−x+3y≤10-x + 3y \leq 10,
x+y≤6x + y \leq 6,
x−y≤2x - y \leq 2,
and x≥0, y≥0x \geq 0,\ y \geq 0

Free with a Super Tutor account

6(iv)Maximize Z=−x+2yZ = -x + 2y
Subject to the constraints:
−0.5x+y≤2-0.5x + y \leq 2,
x−y≤−1x - y \leq -1,
and x≥0, y≥0x \geq 0,\ y \geq 0

Free with a Super Tutor account

6(v)Maximize Z=5x+4yZ = 5x + 4y
Subject to the constraints:
x−2y≤1x - 2y \leq 1,
x+2y≤6x + 2y \leq 6,
x−y≥3x - y \geq 3,
and x≥0, y≥0x \geq 0,\ y \geq 0

Free with a Super Tutor account

7Solve the following Linear Programming Problem graphically by using Iso-cost method:
Minimize Z=4x−2yZ = 4x - 2y
Subject to the constraints:
x+y≤14x + y \leq 14,
2x+y≤242x + y \leq 24,
3x+2y≥143x + 2y \geq 14,
and x≥0, y≥0x \geq 0,\ y \geq 0

Free with a Super Tutor account

8Maximize Z=3x+9yZ = 3x + 9y
Subject to the constraints:
x+4y≤8x + 4y \leq 8,
x+2y≤4x + 2y \leq 4,
and x≥0, y≥0x \geq 0,\ y \geq 0

Free with a Super Tutor account

9Maximize Z=3x+2yZ = 3x + 2y
Subject to the constraints:
−2x+y≤1-2x + y \leq 1,
x+y≤3x + y \leq 3,
x≤2x \leq 2,
and x≥0, y≥0x \geq 0,\ y \geq 0

Free with a Super Tutor account

6 more solved questions in Linear Programming Problem

They are free with a Super Tutor account, along with practice quizzes and flashcards for this chapter. Free to start, no card needed.

Frequently Asked Questions

What are the important topics in Linear Programming Problem for CBSE Class 12 Applied Mathematics?
Key topics in Linear Programming Problem include Basic Concepts and Components of LPP, Types of LPP and Real-Life Applications, Solution Concepts and Terminology, Fundamental Theorems of Linear Programming. Study these first, then practise questions on each for the CBSE Class 12 board exam.
Are these NCERT Solutions for Linear Programming Problem free?
The first 7 of the 13 solutions on this page are open to read. The other 6 are free with a Super Tutor account — signing up is free and needs no card.
How should I revise Linear Programming Problem for the CBSE Class 12 board exam?
Learn the core ideas first, then work through the 49 practice questions on Linear Programming Problem. Revise definitions regularly and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

For serious students

Get the full Linear Programming Problem chapter — start free.

Quizzes, flashcards, an AI doubt solver and a study plan for CBSE Class 12 Applied Mathematics. Free to start, no card needed.