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Vogel’s Approximation Method (VAM)
The Vogel’s Approximate Method takes into account not only the least cost
Cij but also the costs that just exceed Cij. Various steps of the method are
given below:
Step I:
For each row of the transportation table identify the smallest and the next to
smallest cost. Determine the difference between them for each row. These
are called penalties (opportunity cost). Put them along side of the
transportation table by enclosing them in parenthesis against the respective
rows. Similarly compute these penalties for each column.
Step II:
Identify the row or column with the largest penalty among all the rows and
columns. If a tie occurs, use any arbitrary tie breaking choice. Let the
greatest penalty correspond to ith row and let Cij be the smallest cost in the ith
row. Allocate the largest possible amount Xij = min. (ai, bj) in the (i, j) of the
cell and cross off the ith row or jth column in the usual manner.
Step III:
Re-compute the column and row penalty for the reduced transportation table
and go to step II. Repeat the procedure until all the requirements are
satisfied.
Remarks:
1. A row or column ‘difference’ indicates the minimum unit penalty
incurred by failing to make an allocation to the smallest cost cell in
that row or column.
2. It will be seen that VAM determines an initial basic feasible solution
which is very close to the optimum solution that is the number of
iterations required to reach optimum solution is minimum in this case.
Examples:
1. Balanced Transportation Problem
SupplyP Q R S
A 18 21 12 15016
B 17 14 13 16019
C 32 11 10 9015
Demand 140 120 90 50 400
Solution:
In this example, Total Supply = Total Demand. So, this is balanced
transportation problem.
P Q R S Supply Penalities
A 18 21 12 150 416
B 17 14 13 160 119
C 32 11 10 90 115
Demand 140 120 90 50 400
Penalities 1 7 1 2
For each row and column of the transportation table determine the penalties
and put them along side of the transportation table by enclosing them in
parenthesis against the respective rows and beneath the corresponding columns.
Select the row or column with the largest penalty i.e. (7) (marked with an arrow)
associated with second column and allocate the maximum possible amount to the
cell (3,2) with minimum cost and allocate an amount X32=Min(120,90)=90 to it.
This exhausts the supply of C. Therefore, cross off third row. The first reduced
penalty table will be:
Supply PenalitiesP Q R S
A 18 21 12 150 416
B 17 14 13 160 119
Demand 140 30 90 50 310
Penalities 1 1 7 1
In the first reduced penalty table the maximum penalty of rows and columns
occurs in column 3, allocate the maximum possible amount to the cell (2,3) with
minimum cost and allocate an amount X23=Min(90,160)=90 to it . This exhausts
the demand of R .As such cross off third column to get second reduced penalty
table as given below.
Supply PenalitiesP Q S
A 18 12 150 416
B 17 19 13 160 4
191
919
Demand 140 30 50 220
Penalities 1 1 1
In the second reduced penalty table there is a tie in the maximum penalty
between first and second row. Choose the first row and allocate the maximum
possible amount to the cell (1,4) with minimum cost and allocate an amount
X14=Min(50,150)=50 to it . This exhausts the demand of S so cross off fourth
column to get third reduced penalty table as given below:
Supply PenalitiesP Q
A 18 100 216
B 17 19 70 2
191
919
Demand 140 30 170
Penalities 1 1
The largest of the penalty in the third reduced penalty table is (2) and is
associated with first row and second row. We choose the first row arbitrarily
whose min. cost is C11 = 16. The fourth allocation of X11=min. (140, 100) =100 is
made in cell (1, 1). Cross off the first row. In the fourth reduced penalty table i.e.
second row, minimum cost occurs in cell (2,1) followed by cell (2,2) hence
allocate X21=40 and X22=30. Hence the whole allocation is as under:
SupplyP Q R S
A
100
18 21
50
12
150
16
B
40 30 90
14 13
160
17 19
C
32
90
11 10
90
15
Demand 140 120 90 50 400
The transportation costaccording to the above allocation is given by
Z = 16 × 100 + 12 × 50 + 17 × 40 +19 × 30 + 14 × 90 + 11 × 90 = 5700
2. Unbalanced Transportation Problem
A B C Supply
P 4 8 8 76
Q 16 24 16 82
R 8 16 24 77
Demand 72 102 41
Solution:
In this example, Total Supply is 235 and Total Demand is 225. Here
Total Supply > Total Demand. So, this is unbalanced transportation
problem. To solve this problem we need to make it balanced
transportation problem. Here we introduce dummy column with
transportation cost including the dummy. Thus new balanced
transportation table is as:
A B C Dummy Supply
P 4 8 8 0 76
Q 16 24 16 0 82
R 8 16 24 0 77
Demand 72 102 41 200
A B C Dummy Supply Penalities
P 4 8 8 0 76 4
Q 16 24 16 0 82 16
R 8 16 24 0 77 8
Demand 72 102 41 20
Penalities 4 8 8
For each row and column of the transportation table determine the penalties
and put them along side of the transportation table by enclosing them in
parenthesis against the respective rows and beneath the corresponding columns.
Select the row or column with the largest penalty i.e. (16) (marked with an
arrow) associated with second row and allocate the maximum possible amount to
the cell (2,4) with minimum cost and allocate an amount X24=Min(20,82)=20 to it.
This exhausts the demand of dummy. Therefore, cross off forth column. The first
reduced penalty table will be:
A B C Supply Penalities
P 4 8 8 76 4
Q 16 24 16 62 8
R 8 16 24 77 8
Demand 72 102 41
Penalities 4 8 8
In the first reduced penalty table there is a tie in the maximum penalty
between second row, third row, second column and third column . Choose the
second column and allocate the maximum possible amount to the cell (1,2) with
minimum cost and allocate an amount X12=Min(102,76)=76 to it . This exhausts
the supply of B so cross off first row to get second reduced penalty table as given
below:
A B C Supply Penalities
Q 16 24 16 82 8
R 8 16 24 77 8
Demand 72 26 41
Penalities 8 8 8
In the second reduced penalty table there is a tie in the maximum penalty
between all rows and columns. Choose the first column and allocate the maximum
possible amount to the cell (2,2) with minimum cost and allocate an amount
X12=Min(72,77)=72 to it . This exhausts the demand of A so cross off first column
to get third reduced penalty table as given below:
B C Supply Penalities
Q 24 16 82 8
R 16 24 5 8
Demand 102 41
Penalities 8 8
In the third reduced penalty table there is a tie in the maximum penalty
between all rows and columns. Choose the first column and allocate the maximum
possible amount to the cell (1,2) with minimum cost and allocate an amount
X12=Min(41,82)=41 to it . This exhausts the demand of C so cross off second
column to get fourth reduced penalty table. In the fourth reduced penalty table i.e.
second row, minimum cost occurs in cell (2,1) followed by cell (1,1) hence
allocate X21=5 and X22=21. Hence the whole allocation is as under:
A B C Dummy Supply
P
4
76
8 8 0
76
Q
16
21 41
16
20
0
82
24
R
72 5
16 24 0
77
8
Demand 72 102 41 20
The transportation costaccording to the above allocation is given by
Z = 8 × 76 + 24 × 21 + 16× 41 + 0 × 20 + 8 × 72 + 16 × 5 = 2424

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Vogel’s Approximation Method (VAM)

  • 1. Vogel’s Approximation Method (VAM) The Vogel’s Approximate Method takes into account not only the least cost Cij but also the costs that just exceed Cij. Various steps of the method are given below: Step I: For each row of the transportation table identify the smallest and the next to smallest cost. Determine the difference between them for each row. These are called penalties (opportunity cost). Put them along side of the transportation table by enclosing them in parenthesis against the respective rows. Similarly compute these penalties for each column. Step II: Identify the row or column with the largest penalty among all the rows and columns. If a tie occurs, use any arbitrary tie breaking choice. Let the greatest penalty correspond to ith row and let Cij be the smallest cost in the ith row. Allocate the largest possible amount Xij = min. (ai, bj) in the (i, j) of the cell and cross off the ith row or jth column in the usual manner. Step III: Re-compute the column and row penalty for the reduced transportation table and go to step II. Repeat the procedure until all the requirements are satisfied. Remarks: 1. A row or column ‘difference’ indicates the minimum unit penalty incurred by failing to make an allocation to the smallest cost cell in that row or column. 2. It will be seen that VAM determines an initial basic feasible solution which is very close to the optimum solution that is the number of iterations required to reach optimum solution is minimum in this case.
  • 2. Examples: 1. Balanced Transportation Problem SupplyP Q R S A 18 21 12 15016 B 17 14 13 16019 C 32 11 10 9015 Demand 140 120 90 50 400 Solution: In this example, Total Supply = Total Demand. So, this is balanced transportation problem. P Q R S Supply Penalities A 18 21 12 150 416 B 17 14 13 160 119 C 32 11 10 90 115 Demand 140 120 90 50 400 Penalities 1 7 1 2 For each row and column of the transportation table determine the penalties and put them along side of the transportation table by enclosing them in parenthesis against the respective rows and beneath the corresponding columns.
  • 3. Select the row or column with the largest penalty i.e. (7) (marked with an arrow) associated with second column and allocate the maximum possible amount to the cell (3,2) with minimum cost and allocate an amount X32=Min(120,90)=90 to it. This exhausts the supply of C. Therefore, cross off third row. The first reduced penalty table will be: Supply PenalitiesP Q R S A 18 21 12 150 416 B 17 14 13 160 119 Demand 140 30 90 50 310 Penalities 1 1 7 1 In the first reduced penalty table the maximum penalty of rows and columns occurs in column 3, allocate the maximum possible amount to the cell (2,3) with minimum cost and allocate an amount X23=Min(90,160)=90 to it . This exhausts the demand of R .As such cross off third column to get second reduced penalty table as given below. Supply PenalitiesP Q S A 18 12 150 416 B 17 19 13 160 4 191 919 Demand 140 30 50 220 Penalities 1 1 1 In the second reduced penalty table there is a tie in the maximum penalty between first and second row. Choose the first row and allocate the maximum possible amount to the cell (1,4) with minimum cost and allocate an amount
  • 4. X14=Min(50,150)=50 to it . This exhausts the demand of S so cross off fourth column to get third reduced penalty table as given below: Supply PenalitiesP Q A 18 100 216 B 17 19 70 2 191 919 Demand 140 30 170 Penalities 1 1 The largest of the penalty in the third reduced penalty table is (2) and is associated with first row and second row. We choose the first row arbitrarily whose min. cost is C11 = 16. The fourth allocation of X11=min. (140, 100) =100 is made in cell (1, 1). Cross off the first row. In the fourth reduced penalty table i.e. second row, minimum cost occurs in cell (2,1) followed by cell (2,2) hence allocate X21=40 and X22=30. Hence the whole allocation is as under: SupplyP Q R S A 100 18 21 50 12 150 16 B 40 30 90 14 13 160 17 19 C 32 90 11 10 90 15 Demand 140 120 90 50 400 The transportation costaccording to the above allocation is given by Z = 16 × 100 + 12 × 50 + 17 × 40 +19 × 30 + 14 × 90 + 11 × 90 = 5700
  • 5. 2. Unbalanced Transportation Problem A B C Supply P 4 8 8 76 Q 16 24 16 82 R 8 16 24 77 Demand 72 102 41 Solution: In this example, Total Supply is 235 and Total Demand is 225. Here Total Supply > Total Demand. So, this is unbalanced transportation problem. To solve this problem we need to make it balanced transportation problem. Here we introduce dummy column with transportation cost including the dummy. Thus new balanced transportation table is as: A B C Dummy Supply P 4 8 8 0 76 Q 16 24 16 0 82 R 8 16 24 0 77 Demand 72 102 41 200
  • 6. A B C Dummy Supply Penalities P 4 8 8 0 76 4 Q 16 24 16 0 82 16 R 8 16 24 0 77 8 Demand 72 102 41 20 Penalities 4 8 8 For each row and column of the transportation table determine the penalties and put them along side of the transportation table by enclosing them in parenthesis against the respective rows and beneath the corresponding columns. Select the row or column with the largest penalty i.e. (16) (marked with an arrow) associated with second row and allocate the maximum possible amount to the cell (2,4) with minimum cost and allocate an amount X24=Min(20,82)=20 to it. This exhausts the demand of dummy. Therefore, cross off forth column. The first reduced penalty table will be: A B C Supply Penalities P 4 8 8 76 4 Q 16 24 16 62 8 R 8 16 24 77 8 Demand 72 102 41 Penalities 4 8 8
  • 7. In the first reduced penalty table there is a tie in the maximum penalty between second row, third row, second column and third column . Choose the second column and allocate the maximum possible amount to the cell (1,2) with minimum cost and allocate an amount X12=Min(102,76)=76 to it . This exhausts the supply of B so cross off first row to get second reduced penalty table as given below: A B C Supply Penalities Q 16 24 16 82 8 R 8 16 24 77 8 Demand 72 26 41 Penalities 8 8 8 In the second reduced penalty table there is a tie in the maximum penalty between all rows and columns. Choose the first column and allocate the maximum possible amount to the cell (2,2) with minimum cost and allocate an amount X12=Min(72,77)=72 to it . This exhausts the demand of A so cross off first column to get third reduced penalty table as given below: B C Supply Penalities Q 24 16 82 8 R 16 24 5 8 Demand 102 41 Penalities 8 8
  • 8. In the third reduced penalty table there is a tie in the maximum penalty between all rows and columns. Choose the first column and allocate the maximum possible amount to the cell (1,2) with minimum cost and allocate an amount X12=Min(41,82)=41 to it . This exhausts the demand of C so cross off second column to get fourth reduced penalty table. In the fourth reduced penalty table i.e. second row, minimum cost occurs in cell (2,1) followed by cell (1,1) hence allocate X21=5 and X22=21. Hence the whole allocation is as under: A B C Dummy Supply P 4 76 8 8 0 76 Q 16 21 41 16 20 0 82 24 R 72 5 16 24 0 77 8 Demand 72 102 41 20 The transportation costaccording to the above allocation is given by Z = 8 × 76 + 24 × 21 + 16× 41 + 0 × 20 + 8 × 72 + 16 × 5 = 2424