A small company manufactures necklaces and bracelets. The combined number of necklaces and bracelets it can handle per day is at the most 24. A bracelet takes 1 hour to make and necklace takes half hour to be made. Maximum number of hours available per day is 16. If the number of necklaces and bracelets made per day is x and y respectively then the time constraint for the L.P.P.

A dealer wishes to purchase a number of fans and sewing machines. He has only ₹ 5,760.00 to invest and has space for at most 20 items. A fan costs ₹ 360.00 and a sewing machine ₹ 240.00. His expectation is that he can sell a fan at a profit of ₹ 22.00 and a sewing machine at a profit of ₹ 18.00. Assuming that he can sell all the items that he can buy, how should be invest his money in order to maximise the profit? If x denotes the number of fans and y the number of sewing machines. Then which of the following are correct constituents of the associated LPP.

Consider the LPP, Minimise Z=3x+2y subject to constraints:

then which of the following is correct?

Consider the LPP, Min Z=2x-3y subject to the conditions

then the minimum value of the objective function is at the point

The feasible region for the constrains x≥0, x+y≤1 and x-y≤1, is situated in :
(A) I and II Quadrant
(B) I Quadrant
(C) II and IV Quadrant
(D) IV Quadrant
(E) I, II, III and IV Quadrant
Choose the correct answer from the options given below:

Which constraint correctly represents the situation “Mixture of x and y must be at least 8 units”?

Corner points of the feasible region for a linear programming problem are (0,2), (3, 0), (6, 0), (6, 8) and (0, 5). Let F = 4x + 6y be the objective function. Then the minimum value of F occurs at:

Let R be the feasible region for a Linear Programming problem and let z=zx+by be the objective function. If R is bounded, then the objective function z has :

The corner points of the feasible region determined by the system of Linear Constraints are (0, 3), (1, 2) and (3, 0), Let z = px + qy, where p, q > 0, be the objective function. Find the condition on p and q so that the minimum of z occurs at (3, 0) and (1, 2):

If the corner points of Linear Programming Problem having objective function Max z = 2x + y are O(0, 0), A(30, 0), B(20, 30), C(0, 50), then the optimal value will be at the point:

The feasible region represented by the constraints of the linear programming problem:
x+y≤6, y≤7, x≥4, x, y≥0