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3. vogel's approximation method example ( Enter your problem )
Algorithm and examples
  1. Algorithm & Example-1
  2. Example-2
  3. Unbalanced supply and demand example
  4. Maximization Problem example
Other related methods
  1. north-west corner method
  2. least cost method
  3. vogel's approximation method
  4. Row minima method
  5. Column minima method
  6. Russell's approximation method
  7. Heuristic method-1
  8. Heuristic method-2
  9. modi method (optimal solution)
  10. stepping stone method (optimal solution)

3. Unbalanced supply and demand example
(Previous example)
4. Row minima method
(Next method)

4. Maximization Problem example





Maximization Transportation Problem
There are certain types of transportation problems where the objective function is to be maximized instead of being minimized.
These problems can be solved by converting the maximization problem into a minimization problem by subtracting all the elements from maximum element
Find Solution using Voggel's Approximation method (Maximization)
D1D2D3Supply
S1856120
S215101280
S3391080
Demand1508050


Solution:
TOTAL number of supply constraints : 3
TOTAL number of demand constraints : 3
Problem Table is
`D_1``D_2``D_3`Supply
`S_1`856120
`S_2`15101280
`S_3`391080
Demand1508050


Problem is Maximization, so convert it to minimization by subtracting all the elements from max element (15)
`D_1``D_2``D_3`Supply
`S_1`7109120
`S_2`05380
`S_3`126580
Demand1508050


Table-1
`D_1``D_2``D_3`SupplyRow Penalty
`S_1`7109120`2=9-7`
`S_2`05380`3=3-0`
`S_3`126580`1=6-5`
Demand1508050
Column
Penalty
`7=7-0``1=6-5``2=5-3`


The maximum penalty, 7, occurs in column `D_1`.

The minimum `c_(ij)` in this column is `c_21`=0.

The maximum allocation in this cell is min(80,150) = 80.
It satisfy supply of `S_2` and adjust the demand of `D_1` from 150 to 70 (150 - 80=70).

Table-2
`D_1``D_2``D_3`SupplyRow Penalty
`S_1`7109120`2=9-7`
`S_2`0(80)530--
`S_3`126580`1=6-5`
Demand708050
Column
Penalty
`5=12-7``4=10-6``4=9-5`


The maximum penalty, 5, occurs in column `D_1`.

The minimum `c_(ij)` in this column is `c_11`=7.

The maximum allocation in this cell is min(120,70) = 70.
It satisfy demand of `D_1` and adjust the supply of `S_1` from 120 to 50 (120 - 70=50).

Table-3
`D_1``D_2``D_3`SupplyRow Penalty
`S_1`7(70)10950`1=10-9`
`S_2`0(80)530--
`S_3`126580`1=6-5`
Demand08050
Column
Penalty
--`4=10-6``4=9-5`


The maximum penalty, 4, occurs in column `D_3`.

The minimum `c_(ij)` in this column is `c_33`=5.

The maximum allocation in this cell is min(80,50) = 50.
It satisfy demand of `D_3` and adjust the supply of `S_3` from 80 to 30 (80 - 50=30).

Table-4
`D_1``D_2``D_3`SupplyRow Penalty
`S_1`7(70)10950`10`
`S_2`0(80)530--
`S_3`1265(50)30`6`
Demand0800
Column
Penalty
--`4=10-6`--


The maximum penalty, 10, occurs in row `S_1`.

The minimum `c_(ij)` in this row is `c_12`=10.

The maximum allocation in this cell is min(50,80) = 50.
It satisfy supply of `S_1` and adjust the demand of `D_2` from 80 to 30 (80 - 50=30).

Table-5
`D_1``D_2``D_3`SupplyRow Penalty
`S_1`7(70)10(50)90--
`S_2`0(80)530--
`S_3`1265(50)30`6`
Demand0300
Column
Penalty
--`6`--


The maximum penalty, 6, occurs in row `S_3`.

The minimum `c_(ij)` in this row is `c_32`=6.

The maximum allocation in this cell is min(30,30) = 30.
It satisfy supply of `S_3` and demand of `D_2`.


Initial feasible solution is
`D_1``D_2``D_3`SupplyRow Penalty
`S_1`7(70)10(50)9120 2 |  2 |  1 | 10 | -- |
`S_2`0(80)5380 3 | -- | -- | -- | -- |
`S_3`126(30)5(50)80 1 |  1 |  1 |  6 |  6 |
Demand1508050
Column
Penalty
7
5
--
--
--
1
4
4
4
6
2
4
4
--
--


Allocations in the original problem
`D_1``D_2``D_3`Supply
`S_1`8 (70)5 (50)6 120
`S_2`15 (80)10 12 80
`S_3`3 9 (30)10 (50)80
Demand1508050


The maximum profit `=8 xx 70+5 xx 50+15 xx 80+9 xx 30+10 xx 50=2780`

Here, the number of allocated cells = 5 is equal to m + n - 1 = 3 + 3 - 1 = 5
`:.` This solution is non-degenerate


This material is intended as a summary. Use your textbook for detail explanation.
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3. Unbalanced supply and demand example
(Previous example)
4. Row minima method
(Next method)





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