A company has two factories located at $P$ and $Q$ and has three depots situated at $A, B$ and $C$. The weekly requirement of the depots at $A, B$ and $C$ is respectively $5, 5$ and $4$ units, while the production capacity of the factories at $P$ and $Q$ are respectively $8$ and $6$ units. The cost of transportation per unit is given below:
How many units should be transported from each factory to each depots $A, B, C$ respectively in order that the transportation cost is minimum?
Updated On: Jul 5, 2022
a
b
c
d
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The Correct Option isC
Solution and Explanation
The given data can be represented as given in the following diagram :
Total weekly production of $P$ and $Q = 8 + 6 = 14$ units,
and total weekly requirement at depots $A, B, C = 5 + 5 + 4 = 14$ units
There is no mismatch between supply and demand.
Let factory $P$ supply $x$ units per week to depot $A$ and $y$ units
to depot $B$, then it supplies $8 - x - y$ units to depot $C$.
Clearly, $ 0 \le x \le 5, 0\le y \le 5, 0\le 8 - x -y \le 4$.
As depot $A$' s requirement is $5$ units and it receives $x$ units
from factory $P$, it must receive $(5 - x)$ units from factory $Q$.
Similarly, depot $B$ receives $(5 - y)$ units from factory $Q$
and depot $C$ receives $(x + y - 4)$ units from factory $Q$.
Thus total transportation cost (in $?$)
$ = 16x + 10y + 15(8 - x - y) + 10(5 - x) + 12(5 - y) $$+ 10(x+ y-4)$$= x - 7y+ 190 $
Mathematical formulation of $LPP$ is:
Minimize $z = x- 7y + 190$ subject to the constraints:
$ x + y\ge 4 , x + y \le 8, x\ge 0, x \le 5, y \ge 0, y \le 5$
Now, we draw the graphs of the lines
$x + y = 4, x + y = 8, x = 5, y = 5, x = 0, y = 0$
The feasibler egion corresponding to these constraints is shown in the figure. It is the bounded (convex) region $ABCDEF$.
Vertices of the feasible region are
$A(4, 0), B(5, 0), C(5, 3), D(3, 5), E(0, 5)$ and $F(0, 4)$$\because Z= x- 7y+ 190$$\therefore$ At $A(4, 0), Z = 194$
At $B(5, 0), Z = 195$
At $C(5, 3), Z = 174 $
At $D(3, 5), Z = 158 $
At $E(0, 5), Z = 155 $
At $F(0, 4), Z = 162$
Thus $Z$ is minimum at $E(0, 5)$ i.e., when $x = 0, y = 5$. Thus, for minimum transportation cost, factory $P$ should supply $0, 5, 3$ units to depots $A, B, C$ respectively and factory $Q$ should supply $5, 0, 1$ units respectively to depots $A, B, C$.
Linear programming is a mathematical technique for increasing the efficiency and effectiveness of operations under specific constraints. The main determination of linear programming is to optimize or minimize a numerical value. It is built of linear functions with linear equations or inequalities restricting variables.
Characteristics of Linear Programming:
Decision Variables: This is the first step that will determine the output. It provides the final solution to the problem.
Constraints: The mathematical form in which drawbacks are expressed, regarding the resource.
Data: They are placeholders for known numbers to make writing complex models simple. They are constituted by upper-case letters.
Objective Functions: Mathematically, the objective function should be quantitatively defined.
Linearity: The function's relation between two or more variables must be straight. It indicates that the variable's degree is one.
Finiteness: Input and output numbers must be finite and infinite. The best solution is not possible if the function consists infinite components.
Non-negativity: The value of the variable should be either positive (+ve) or 0. It can't be a negative (-ve) number.