हिंदी

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

Advertisements
Advertisements

प्रश्न

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

Advertisements

उत्तर १

Tailors/Product A(x) B(y) Avl
Shirts 6 10 60
Trousers 4 4 32

Let A work x days and B work y days.

`∴ x >= 0, y >= 0`

So L.P.P., objective function Min. Z = 300 x + 400 y

Subject to.
`6x + 10y >= 60`

`4x + 4y >= 32` 

:. LPP

Min. Z = 300 x + 400 y

Subject to.

`3x + 5y >= 30`

`x + y >= 8`

`x >= 0, y >= 0`

shaalaa.com

उत्तर २

Let tailor A work for days and tailor B work for days.

In one day, A can stitch 6 shirts and 4 pairs of trousers whereas B can stitch 10 shirts and 4 pairs of trousers.

Thus, in x days A can stitch 6x shirts and 4x pairs of trousers. Similarly, in y days B can stitch 10y shirts and 4y pairs of trousers.

It is given that the minimum requirement of the shirts and pairs of trousers are respectively 60 and 32 respectively.

Thus,

610≥ 60

44≥ 32

Further it is given that A and B earn Rs 300 and Rs 400 per day respectively. Thus, in x days and days, A and B earn Rs 300x and Rs 400y  respectively.

Let Z denotes the total cost

∴ Z =Rs (300400y)

Number of days cannot be negative.

Therefore, x, y ≥ 0

Hence, the required LPP is as follows:

Minimize  300400y

subject to

610≥ 60

44≥ 32

≥ 0, ≥ 0

shaalaa.com
  क्या इस प्रश्न या उत्तर में कोई त्रुटि है?
2016-2017 (March) All India Set 1

वीडियो ट्यूटोरियलVIEW ALL [2]

संबंधित प्रश्न

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 + 5y

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


Solve the following Linear Programming Problems graphically:

Maximise Z = 3x + 2y

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


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

Maximise Z = – x + 2y, Subject to the constraints:

x ≥ 3, x + y ≥ 5, x + 2y ≥ 6, 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.


If the feasible region for a linear programming problem is bounded, then the objective function Z = ax + by has both a maximum and a minimum value on R.


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


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


A manufacturer produces two Models of bikes-Model X and Model Y. Model X takes a 6 man-hours to make per unit, while Model Y takes 10 man-hours per unit. There is a total of 450 man-hour available per week. Handling and Marketing costs are Rs 2000 and Rs 1000 per unit for Models X and Y respectively. The total funds available for these purposes are Rs 80,000 per week. Profits per unit for Models X and Y are Rs 1000 and Rs 500, respectively. How many bikes of each model should the manufacturer produce so as to yield a maximum profit? Find the maximum profit.


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.


The feasible region for an LPP is shown in the figure. Let F = 3x – 4y be the objective function. Maximum value of F is ______.


Corner points of the feasible region for an LPP are (0, 2), (3, 0), (6, 0), (6, 8) and (0, 5). Let F = 4x + 6y be the objective function. The Minimum value of F occurs at  ______.


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


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.


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


In a LPP, the maximum value of the objective function Z = ax + by is always finite.


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


In linear programming, optimal solution ____________.


In a LPP, the objective function is always ____________.


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


Maximize Z = 10×1 + 25×2, 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?


What are constraints in a Linear Programming Problem?


Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×