TOTAL number of demand constraints : 5 and supply is 4
Problem Table is
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2 |
4 |
6 |
5 |
7 |
4 |
|
|
S2 |
7 |
6 |
3 |
999999 |
4 |
6 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
4 |
4 |
2 |
5 |
5 |
Table-1
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
|
|
S2 |
7 |
6 |
3 |
999999 |
4 |
6 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
0 |
4 |
2 |
5 |
5 |
The rim values for S2=6 and D1=0 are compared.
The smaller of the two i.e. min(6,0) = 0 is assigned to S2 D1
This meets the complete demand of D1 and leaves 6 - 0 = 6 units
with S2
Table-2
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
|
|
S2 |
7 |
6 |
3 |
999999 |
4 |
6 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
0 |
4 |
2 |
5 |
5 |
The rim values for S2=6 and D2=4 are compared.
The smaller of the two i.e. min(6,4) = 4 is assigned to S2 D2
This meets the complete demand of D2 and leaves 6 - 4 = 2 units
with S2
Table-3
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
|
|
S2 |
7 |
6(4) |
3 |
999999 |
4 |
2 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
0 |
0 |
2 |
5 |
5 |
The rim values for S2=2 and D3=2 are compared.
The smaller of the two i.e. min(2,2) = 2 is assigned to S2 D3
This exhausts the capacity of S2 and leaves 2 - 2 = 0 units with
D3
Table-4
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
|
|
S2 |
7 |
6(4) |
3(2) |
999999 |
4 |
0 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
0 |
0 |
0 |
5 |
5 |
The rim values for S3=6 and D3=0 are compared.
The smaller of the two i.e. min(6,0) = 0 is assigned to S3 D3
This meets the complete demand of D3 and leaves 6 - 0 = 6 units
with S3
Table-5
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
|
|
S2 |
7 |
6(4) |
3(2) |
999999 |
4 |
0 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
0 |
0 |
0 |
5 |
5 |
The rim values for S3=6 and D4=5 are compared.
The smaller of the two i.e. min(6,5) = 5 is assigned to S3 D4
This meets the complete demand of D4 and leaves 6 - 5 = 1 units
with S3
Table-6
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
|
|
S2 |
7 |
6(4) |
3(2) |
999999 |
4 |
0 |
|
|
S3 |
8 |
7 |
5 |
2(5) |
5 |
1 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
0 |
0 |
0 |
0 |
5 |
The rim values for S3=1 and D5=5 are compared.
The smaller of the two i.e. min(1,5) = 1 is assigned to S3 D5
This exhausts the capacity of S3 and leaves 5 - 1 = 4 units with
D5
Table-7
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
|
|
S2 |
7 |
6(4) |
3(2) |
999999 |
4 |
0 |
|
|
S3 |
8 |
7 |
5 |
2(5) |
5(1) |
0 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
0 |
0 |
0 |
0 |
4 |
The rim values for S4=4 and D5=4 are compared.
The smaller of the two i.e. min(4,4) = 4 is assigned to S4 D5
Table-8
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
|
|
S2 |
7 |
6(4) |
3(2) |
999999 |
4 |
0 |
|
|
S3 |
8 |
7 |
5 |
2(5) |
5(1) |
0 |
|
|
S4 |
0 |
0 |
0 |
0 |
0(4) |
0 |
|
|
Demand |
0 |
0 |
0 |
0 |
0 |
Initial feasible solution is
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2 (4) |
4 |
6 |
5 |
7 |
4 |
|
|
S2 |
7 |
6 (4) |
3 (2) |
999999 |
4 |
6 |
|
|
S3 |
8 |
7 |
5 |
2 (5) |
5 (1) |
6 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 (4) |
4 |
|
|
Demand |
4 |
4 |
2 |
5 |
5 |
The minimum total transportation cost
=2×4+6×4+3×2+2×5+5×1+0×4=53
Here, the number of allocated cells = 6, which is two less than to
m + n - 1 = 4 + 5 - 1 = 8
∴ This solution is degenerate
vogel approximation rules.
TOTAL number of supply constraints : 4
TOTAL number of demand constraints : 5
Problem Table is
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
||
|
S1 |
2 |
4 |
6 |
5 |
7 |
4 |
|
|
S2 |
7 |
6 |
3 |
999999 |
4 |
6 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
|
|
Demand |
4 |
4 |
2 |
5 |
5 |
Table-1
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
Row Penalty |
||
|
S1 |
2 |
4 |
6 |
5 |
7 |
4 |
2=4-2 |
|
|
S2 |
7 |
6 |
3 |
999999 |
4 |
6 |
1=4-3 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
3=5-2 |
|
|
S4 |
0 |
0 |
0 |
0 |
0 |
4 |
0=0-0 |
|
|
Demand |
4 |
4 |
2 |
5 |
5 |
|||
|
Column |
2=2-0 |
4=4-0 |
3=3-0 |
2=2-0 |
4=4-0 |
The maximum penalty, 4, occurs in column D2.
The minimum cij in this column is c42 = 0.
The maximum allocation in this cell is min(4,4) = 4.
It satisfy supply of S4 and demand of D2.
Table-2
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
Row Penalty |
||
|
S1 |
2 |
4 |
6 |
5 |
7 |
4 |
3=5-2 |
|
|
S2 |
7 |
6 |
3 |
999999 |
4 |
6 |
1=4-3 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
3=5-2 |
|
|
S4 |
0 |
0(4) |
0 |
0 |
0 |
0 |
-- |
|
|
Demand |
4 |
0 |
2 |
5 |
5 |
|||
|
Column |
5=7-2 |
-- |
2=5-3 |
3=5-2 |
1=5-4 |
The maximum penalty, 5, occurs in column D1.
The minimum cij in this column is c11 = 2.
The maximum allocation in this cell is min(4,4) = 4.
It satisfy supply of S1 and demand of D1.
Table-3
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
Row Penalty |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
-- |
|
|
S2 |
7 |
6 |
3 |
999999 |
4 |
6 |
1=4-3 |
|
|
S3 |
8 |
7 |
5 |
2 |
5 |
6 |
3=5-2 |
|
|
S4 |
0 |
0(4) |
0 |
0 |
0 |
0 |
-- |
|
|
Demand |
0 |
0 |
2 |
5 |
5 |
|||
|
Column |
-- |
-- |
2=5-3 |
999997=999999-2 |
1=5-4 |
The maximum penalty, 999997, occurs in column D4.
The minimum cij in this column is c34 = 2.
The maximum allocation in this cell is min(6,5) = 5.
It satisfy demand of D4 and adjust the supply of S3 from 6 to 1 (6
- 5 = 1).
Table-4
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
Row Penalty |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
-- |
|
|
S2 |
7 |
6 |
3 |
999999 |
4 |
6 |
1=4-3 |
|
|
S3 |
8 |
7 |
5 |
2(5) |
5 |
1 |
0=5-5 |
|
|
S4 |
0 |
0(4) |
0 |
0 |
0 |
0 |
-- |
|
|
Demand |
0 |
0 |
2 |
0 |
5 |
|||
|
Column |
-- |
-- |
2=5-3 |
-- |
1=5-4 |
The maximum penalty, 2, occurs in column D3.
The minimum cij in this column is c23 = 3.
The maximum allocation in this cell is min(6,2) = 2.
It satisfy demand of D3 and adjust the supply of S2 from 6 to 4 (6
- 2 = 4).
Table-5
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
Row Penalty |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
-- |
|
|
S2 |
7 |
6 |
3(2) |
999999 |
4 |
4 |
4 |
|
|
S3 |
8 |
7 |
5 |
2(5) |
5 |
1 |
5 |
|
|
S4 |
0 |
0(4) |
0 |
0 |
0 |
0 |
-- |
|
|
Demand |
0 |
0 |
0 |
0 |
5 |
|||
|
Column |
-- |
-- |
-- |
-- |
1=5-4 |
The maximum penalty, 5, occurs in row S3.
The minimum cij in this row is c35 = 5.
The maximum allocation in this cell is min(1,5) = 1.
It satisfy supply of S3 and adjust the demand of D5 from 5 to 4 (5
- 1 = 4).
Table-6
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
Row Penalty |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
0 |
-- |
|
|
S2 |
7 |
6 |
3(2) |
999999 |
4 |
4 |
4 |
|
|
S3 |
8 |
7 |
5 |
2(5) |
5(1) |
0 |
-- |
|
|
S4 |
0 |
0(4) |
0 |
0 |
0 |
0 |
-- |
|
|
Demand |
0 |
0 |
0 |
0 |
4 |
|||
|
Column |
-- |
-- |
-- |
-- |
4 |
The maximum penalty, 4, occurs in row S2.
The minimum cij in this row is c25 = 4.
The maximum allocation in this cell is min(4,4) = 4.
It satisfy supply of S2 and demand of D5.
Initial feasible solution is
|
D1 |
D2 |
D3 |
D4 |
D5 |
Supply |
Row Penalty |
||
|
S1 |
2(4) |
4 |
6 |
5 |
7 |
4 |
2 | 3 | -- | -- | -- | -- | |
|
|
S2 |
7 |
6 |
3(2) |
999999 |
4(4) |
6 |
1 | 1 | 1 | 1 | 4 | 4 | |
|
|
S3 |
8 |
7 |
5 |
2(5) |
5(1) |
6 |
3 | 3 | 3 | 0 | 5 | -- | |
|
|
S4 |
0 |
0(4) |
0 |
0 |
0 |
4 |
0 | -- | -- | -- | -- | -- | |
|
|
Demand |
4 |
4 |
2 |
5 |
5 |
|||
|
Column |
2 |
4 |
3 |
2 |
4 |
The minimum total transportation cost
=2×4+3×2+4×4+2×5+5×1+0×4=45
Here, the number of allocated cells = 6, which is two less than to
m + n - 1 = 4 + 5 - 1 = 8
∴ This solution is degenerate
DI 9.2-2. * Consider the transportation problem having the fol- lowing parameter table: Destination 1 2...
9.2-6. Consider the transportation problem having the following parameter table: Destination 1 23 45Supply 8 6 375 20 5 M 847 30 6 3968 0 Source 4(D)10 0 0 0 0 | 20 Demand 25 25 20 10 20 After several iterations of the transportation simplex method, a BlF solution is obtained that has the following basic variables: 3-20, x21 = 25, x24-5, x32-25, x34-5,x42-0, x43-0, x45-20. Continue the transportation simplex method for wo more iterations by hand. After two...
operations research
Q1: The magical wand is an essential object for the wizarding school. The parameter table below shows the supply and demand of magical wand, and the cost to ship a magical wand from each supplier to each wizarding academy. Durmstrang Hogwarts School of Witchcraft and Wizardry 2 Beauxbatons Academy of Magic 5 Institute 3 20 2 3 4 30 Fluorish and Blotts Gambol and Japes Dervish and Banges Zonko's Joke Shop 4 5 30 3 5 20 35...
Q3. Suppose that you are required to plan the least-cost transportation from the manufacturing centers to the outlets. The transportation cost matrix is given below. Destination 1 Destination 2 Destination 3 Supply Origin 1 20 17 4 120 Origin 2 35 10 5 60 Demand 40 30 110 180 a. Find the initial basic feasible solution using Vogel’s Approximation Method. (5 Marks) b. Find the final (optimal) solution using Modified Distribution method. (5 Marks) Pls write answer step-by-step with conclusion...
Consider the transportation problem presented in the following table: Capacity 120 B 4 17 22 20 1 9 70 7 37 2 24 32 50 15 20 37 3 240 110 30 40 60 Demand Determine the optimal shipping schedule using: a) North-West Corner Method b) Least Cost Method c) Vogel Approximation Method
Consider the transportation problem presented in the following table: Capacity 120 B 4 17 22 20 1 9 70 7 37 2 24 32 50 15 20...
The parameter table given below shows the transportation problem
formulation of Option 1 for the Better Products Co. problem
presented in Sec. 9.3 of the textbook. As stated in the textbook,
the optimal solution for this transportation problem has the
following basic variables (allocations):
x12 = 30, x13 = 30, x15 = 15, x24 = 15, x25 = 60, x31 = 20, x34
= 25
Verify that this optimal solution actually is optimal by
applying just the optimality test portion...
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Consider the transportation table below. The solution displayed was obtained by performing some iterations of the transportation method on this problem. Consider the transportation table below. The solution displayed was obtained by performing some iterations of the transportation method on this problem. Copy to Clipboard + Destination Source DenverDenver YumaYuma MiamiMiami Supply HoustonHouston $22 $88 $11 2020 2020 St. LouisSt. Louis $44 $55 $66 3030 1010 2020 ChicagoChicago $66 $33 $22 4040 1010 3030 Demand 3030 3030 3030 The total...
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Three refineries with daily capacities of 6, 5, and 8 million gallons, respectively, supply three distribution areas with daily demands of 4, 8, and 7 million gallons, respectively. Gasoline is transported to the three distribution areas through a network of pipelines. The transportation cost is 10 cents per 1000 gallons per pipeline mile. The following table gives the mileage between the refineries and the distribution areas. Refinery 1 is not connected to distribution area 3. Refinery Distribution Area 1 2...