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प्रश्न
Explain Vogel’s approximation method by obtaining initial feasible solution of the following transportation problem.
D1 | D2 | D3 | D4 | Supply | |
O1 | 2 | 3 | 11 | 7 | 6 |
O2 | 1 | 0 | 6 | 1 | 1 |
O3 | 5 | 8 | 15 | 9 | 10 |
Demand | 7 | 5 | 3 | 2 |
उत्तर
Let ‘ai‘ denote the supply and ‘bj‘ denote the demand `sum"a"_"i"` = 6 + 1 + 10 = 17 and `sum"b"_"j"` = 7 + 5 + 3 + 2 = 17
`sum"a"_"i" = sum"b"_"j"`
i.e Total supply = Total demand.
The given problem is a balanced transportation problem. Hence there exists a feasible solution to the given problem.
First, we find the difference (penalty) between the first two smallest costs in each row and column and write them in brackets against the respective rows and columns.
First allocation:
D1 | D2 | D3 | D4 | (ai) | Penalty | |
O1 | 2 | 3 | 11 | 7 | 6 | (1) |
O2 | 1 | 0 | 6 | (1)1 | 1/10 | (1) |
O3 | 5 | 8 | 15 | 9 | 10 | (3) |
(bj) | 7 | 5 | 3 | 2/1 | ||
Penalty | (1) | (3) | (5) | (6) |
The largest difference is 6 corresponding to column D4.
In this column least cost is (O2, D4).
Allocate min (2, 1) to this cell.
Second allocation:
D1 | D2 | D3 | D4 | (ai) | Penalty | |
O1 | 2 | (5)3 | 11 | 7 | 6/1 | (1) |
O3 | 5 | 8 | 15 | 9 | 10 | (3) |
(bj) | 7 | 5/0 | 3 | 2/1 | ||
Penalty | (3) | (5) | (4) | (2) |
The largest difference is 5 in column D2.
Here the least cost is (O1, D2).
So allocate min (5, 6) to this cell.
Third allocation:
D1 | D3 | D4 | (ai) | Penalty | |
O1 | (1)2 | 11 | 7 | 1/0 | (5) |
O3 | 5 | 15 | 9 | 10 | (4) |
(bj) | 7/6 | 3 | 1 | ||
Penalty | (3) | (4) | (2) |
The largest penalty is 5 in row O1.
The least cost is in (O1, D1).
So allocate min (7, 1) here.
Fourth allocation:
D1 | D3 | D4 | (ai) | Penalty | |
O3 | (6)5 | 15 | 9 | 10/4 | (4) |
(bj) | 6/0 | 3 | 1 | ||
Penalty | – | – | – |
Fifth allocation:
D3 | D4 | (ai) | Penalty | |
O3 | (3)15 | (1)9 | 4/3/0 | (6) |
(bj) | 3/0 | 1/0 | ||
Penalty | – | – |
We allocate min (1, 4) to (O3, D4) cell since it has the least cost.
Finally the balance we allot to cell (O3, D3).
Thus we have the following allocations:
D1 | D2 | D3 | D4 | (ai) | |
O1 | (1)2 | (5)3 | 11 | 7 | 6 |
O2 | 1 | 0 | 6 | (1)1 | 1 |
O3 | (6)5 | 8 | (3)15 | (1)9 | 10 |
(bj) | 7 | 5 | 3 | 2 |
Transportation schedule:
O1 → D1
O1 → D2
O2 → D4
O3 → D1
O3 → D3
O3 → D4
i.e x11 = 12
x12 = 5,
x24 = 1
x31 = 6
x33 = 3
x34 = 1
Total cost = (1 × 2) + (5 × 3) + (1 × 1) + (6 × 5) + (3 × 15) + (1 × 9)
= 2 + 15 + 1 + 30 + 45 + 9
= 102
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