Practicing Success
A manufacturing company makes two models $M_1$ and $M_2$ of a product. Each piece of $M_1$ requires 9 labour hours for fabricating and one labour hour for finishing. Each piece of $M_2$ require 12 labour hours for fabricating and 3 labour hours for finishing. For fabricating and finishing, the maximum labour hours available are 180 and 30 respectively. The company makes a profit of Rs. 800 on each piece of $M_1$ and Rs. 1200 on each piece of $M_2$ The above Linear Programming Problem [LPP] is given by |
Maximize $Z=800 x+1200 y$ Subject to constraints, $3 x+4 y \leq 60$ $x+3 y \leq 30$ $x, y \geq 0$ Maximize $Z=800 x+1200 y$ Subject to constraints, $3 x+4 y \geq 60$ $x+3 y \geq 30$ $x, y \geq 0$ Minimize $Z=800 x+1200 y$ Subject to constraints, $3 x+4 y \leq 60$ $x+3 y \geq 30$ $x, y \geq 0$ Minimize $Z=800 x+1200 y$ Subject to constraints, $3 x+4 y \geq 60$ $x+3 y \leq 30$ $x, y \geq 0$ |
Maximize $Z=800 x+1200 y$ Subject to constraints, $3 x+4 y \leq 60$ $x+3 y \leq 30$ $x, y \geq 0$ |
Profit on $M_1$ = 800 / piece $M_2$ = 1200 / piece let pieces of M1 be x and M2 be y so function → Maximise Z = 800x + 1200y (profit needs to be maximised)
Maximum available hours for fabrication = 180 finishing = 30 so 9x +12y ≤ 180 ⇒ 3x + 4y ≤ 60 x + 3y ≤ 30 x, y ≥ 0 (atleast some no products needs to be formed hence it can't be zero) |