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2. least cost method example ( Enter your problem )
Algorithm and examples
  1. Algorithm & Example-1
  2. Example-2
  3. Unbalanced supply and demand example
  4. Prohibited Routes 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)
3. vogel's approximation method
(Next method)

4. Prohibited Routes example





Prohibited Routes
There may be situations where it is not possible to use certain routes in a transportation problem. For example, strike, unexpected floods, local traffic rules, road construction etc.

A very large cost represented by M or - is assigned to each of such routes, which are not available.

Note : I have used 999999 to represent this in the calculation

Example
Find Solution using Least Cost method
D1D2D3Supply
S116-12200
S214818160
S326-1690
Demand180120150


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`1699999912200
`S_2`14818160
`S_3`269999991690
Demand180120150


The smallest transportation cost is 8 in cell `S_2 D_2`

The allocation to this cell is min(160,120) = 120.
This satisfies the entire demand of `D_2` and leaves 160 - 120=40 units with `S_2`

Table-1
`D_1``D_2``D_3`Supply
`S_1`1699999912200
`S_2`148(120)1840
`S_3`269999991690
Demand1800150


The smallest transportation cost is 12 in cell `S_1 D_3`

The allocation to this cell is min(200,150) = 150.
This satisfies the entire demand of `D_3` and leaves 200 - 150=50 units with `S_1`

Table-2
`D_1``D_2``D_3`Supply
`S_1`1699999912(150)50
`S_2`148(120)1840
`S_3`269999991690
Demand18000


The smallest transportation cost is 14 in cell `S_2 D_1`

The allocation to this cell is min(40,180) = 40.
This exhausts the capacity of `S_2` and leaves 180 - 40=140 units with `D_1`

Table-3
`D_1``D_2``D_3`Supply
`S_1`1699999912(150)50
`S_2`14(40)8(120)180
`S_3`269999991690
Demand14000


The smallest transportation cost is 16 in cell `S_1 D_1`

The allocation to this cell is min(50,140) = 50.
This exhausts the capacity of `S_1` and leaves 140 - 50=90 units with `D_1`

Table-4
`D_1``D_2``D_3`Supply
`S_1`16(50)99999912(150)0
`S_2`14(40)8(120)180
`S_3`269999991690
Demand9000


The smallest transportation cost is 26 in cell `S_3 D_1`

The allocation to this cell is min(90,90) = 90.
Table-5
`D_1``D_2``D_3`Supply
`S_1`16(50)99999912(150)0
`S_2`14(40)8(120)180
`S_3`26(90)999999160
Demand000


Initial feasible solution is
`D_1``D_2``D_3`Supply
`S_1`16 (50)999999 12 (150)200
`S_2`14 (40)8 (120)18 160
`S_3`26 (90)999999 16 90
Demand180120150


The minimum total transportation cost `=16 xx 50+12 xx 150+14 xx 40+8 xx 120+26 xx 90=6460`

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)
3. vogel's approximation method
(Next method)





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