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Transcript of Transportation ppt
By : Vikrant V.Shaga
TRANSPORTATION MODEL
G.S Mandal’sMarathwada Institute of Technology,
Aurangabad
Department of MCA
2
Introduction • Transportation model is a typical OR technique
intended to establish the “Least Cost Route” of Transportation of goods from the company’s plant to its warehouse
• In other words, Transport various quantities of a single homogeneous commodity to different destinations in such a way that total transportation cost is minimum
By Vikrant V. Shaga
By Vikrant V. Shaga 3
Terminology of Transportation Problem
• Balance TP : If total supply from all the sources (origins) is equal to the total demand (requirement) in all destinations
• Unbalanced TP : If total supply from all the sources (origins) is not equal to the total demand (requirement) in all destinations
• Feasible Solution : Non-negative values of xij where i=1,2…..m and j=1,2….n which satisfy the constraints of supply and demand
By Vikrant V. Shaga 4
Terminology of Transportation Problem
• Basic feasible solution : If the number of positive allocations are (m+n-1)
• Optimal Solution : A feasible solution is said to be optimal solution if it minimizes the total TP cost
• Degenerate basic feasible solution: if the number of allocation in basic feasible solutions is less than (m+n-1)
By Vikrant V. Shaga 5
The Transportation Representation
1
2
m
1
2
n
Sources Destinations
… …
Supply s1
Supply s2
Supply sm
Demand d1
Demand d2
Demand dn
xij
Costs cij
By Vikrant V. Shaga 6
The Transportation Simplex Table
DestinationSupply ui
Source 1 2 … n
1c11 c12
…c1n s1
2c21 c22
…c2n s2
… … … … … …
mcm1 cm2
…cmn sm
Demand d1 d2 … dn
Z = vj
By Vikrant V. Shaga 7
Optimal Solution of Transportation Problem
Initial Feasible Solution
Obtain an optimal solution by making
successive improvements in IBFS until no further
decrease in transportation cost is
possible
STEP1 STEP2
By Vikrant V. Shaga 8
Finding an Initial BFS
North West Corner Rule
Least Cost Entry Method
Vogel’s Approximation
By Vikrant V. Shaga 9
Step1: Select the upper left (north-west) cell of the transportation matrix and allocate the maximum possible
value to X11 which is equal to min(s1,d1).Step2: • If allocation made is equal to the supply available at the
first source (s1 in first row), then move vertically down to the cell (2,1).
• If allocation made is equal to demand of the first destination (d1 in first column), then move horizontally to the cell (1,2).
• If s1=d1 , then allocate X11= s1 or d1 and move to cell (2,2).Step3: Continue the process until an allocation is made in
the south-east corner cell of the transportation t
The Northwest Corner Rule
10
The Northwest Corner Rule
DestinationSupply
Source N S E W
A16 13 22 17
200
B14 13 19 15
350
C9 20 23 10
150
Demand 100 140 300 250
By Vikrant V. Shaga
Example 1 : Find I.B.F.S of the following Transportation Problem:
By Vikrant V. Shaga 11
The Northwest Corner Rule
DestinationSupply
Source N S E W
A16 13 22 17
200
B14 13 19 15
350
C9 20 23 10
150
Dummy0 0 0 0
90
Demand 100 140 300 250
Solution) The given Transportation Problem is Unbalance Transportation Problem.Make it Balance by adding DUMMY ROW with Supply of 90.
By Vikrant V. Shaga 12
The Northwest Corner RuleDestination
SupplySource N S E W
A16 13 22 17
100100
B14 13 19 15
350
C9 20 23 10
150
Dummy0 0 0 0
90
Demand - 140 300 250
100
13
The Northwest Corner RuleDestination
SupplySource N S E W
A16 13 22 17
-100
B14 13 19 15
350
C9 20 23 10
150
Dummy0 0 0 0
90
Demand - 40 300 250
100 100
By Vikrant V. Shaga
By Vikrant V. Shaga 14
The Northwest Corner RuleDestination
SupplySource N S E W
A16 13 22 17
-100
B14 13 19 15
310
C9 20 23 10
150
Dummy0 0 0 0
90
Demand - - 300 250
100 100
40
By Vikrant V. Shaga 15
The Northwest Corner RuleDestination
SupplySource N S E W
A16 13 22 17
-100
B14 13 19 15
10
C9 20 23 10
150
Dummy0 0 0 0
90
Demand - - - 250
100 100
40 300
By Vikrant V. Shaga 16
The Northwest Corner RuleDestination
SupplySource N S E W
A16 13 22 17
-100
B14 13 19 15
-
C9 20 23 10
150
Dummy0 0 0 0
90
Demand - - - 240
100 100
40 300 10
By Vikrant V. Shaga 17
The Northwest Corner RuleDestination
SupplySource N S E W
A16 13 22 17
-100
B14 13 19 15
10
C9 20 23 10
-
Dummy0 0 0 0
90
Demand - - - 90
100 100
40 300 10
150
By Vikrant V. Shaga 18
The Northwest Corner RuleDestination
SupplySource N S E W
A16 13 22 17
-100
B14 13 19 15
-
C9 20 23 10
-
Dummy0 0 0 0
-
Demand - - - -
100 100
40 300 10
150
90
Z=(16x100)+(13x100)+(13x40)+(19x300)+(15x10)+(10x150)+(0x90)=Rs.10770
By Vikrant V. Shaga 19
Step1: Select the cell having lowest unit cost in the entire table and allocate the minimum of supply or demand values in that cell.
Step2: Then eliminate the row or column in which supply or demand is exhausted. If both the supply and demand values are same, either of the row or column can be eliminated.
In case, the smallest unit cost is not unique, then select the cell where maximum allocation can be made.
Step3: Repeat the process with next lowest unit cost and continue until the entire available supply at various sources and demand at various destinations is satisfied.
Least Cost Entry Method
By Vikrant V. Shaga 20
Least Cost Entry Method
DestinationSupply
Source N S E W
A16 13 22 17
200
B14 13 19 15
350
C9 20 23 10
150
Demand 100 140 300 250
Example 1 : Find I.B.F.S of the following Transportation Problem:
By Vikrant V. Shaga 21
Least Cost Entry Method
DestinationSupply
Source N S E W
A16 13 22 17
200
B14 13 19 15
350
C9 20 23 10
150
Dummy0 0 0 0
90
Demand 100 140 300 250
Solution) The given Transportation Problem is Unbalance Transportation Problem.Make it Balance by adding DUMMY ROW with Supply of 90.
By Vikrant V. Shaga 22
Least Cost Entry MethodDestination
SupplySource N S E W
A16 13 22 17
200
B14 13 19 15
350
C9 20 23 10
150
Dummy0 0 0 0
-
Demand 100 140 300 160
90
By Vikrant V. Shaga 23
Least Cost Entry MethodDestination
SupplySource N S E W
A16 13 22 17
200
B14 13 19 15
350
C9 20 23 10
50
Dummy0 0 0 0
-
Demand - 140 300 160
90
100
By Vikrant V. Shaga 24
Least Cost Entry MethodDestination
SupplySource N S E W
A16 13 22 17
200
B14 13 19 15
350
C9 20 23 10
-
Dummy0 0 0 0
-
Demand - 140 300 110
90
100 50
By Vikrant V. Shaga 25
Least Cost Entry MethodDestination
SupplySource N S E W
A16 13 22 17
60
B14 13 19 15
350
C9 20 23 10
-
Dummy0 0 0 0
-
Demand - - 300 110
90
100 50
140
By Vikrant V. Shaga 26
Least Cost Entry MethodDestination
SupplySource N S E W
A16 13 22 17
60
B14 13 19 15
240
C9 20 23 10
-
Dummy0 0 0 0
-
Demand - - 300 -
90
100 50
140
110
By Vikrant V. Shaga 27
Least Cost Entry MethodDestination
SupplySource N S E W
A16 13 22 17
60
B14 13 19 15
-
C9 20 23 10
-
Dummy0 0 0 0
-
Demand - - 60 -
90
100 50
140
110240
By Vikrant V. Shaga 28
Least Cost Entry MethodDestination
SupplySource N S E W
A16 13 22 17
-
B14 13 19 15
-
C9 20 23 10
-
Dummy0 0 0 0
-
Demand - - - -
90
100 50
140
110240
60
Z=(13x140)+(22x60)+(19x240)+(15x110)+(9x100)+(10x50)+(0x90)=Rs.10750
By Vikrant V. Shaga 29
Vogel’s Approximation MethodStep1: Calculate penalty for each row and column by taking the difference between the two smallest unit costs. This penalty or extra cost has to be paid if one fails to allocate the minimum unit transportation cost.Step2: Select the row or column with the highest penalty and select the minimum unit cost of that row or column. Then, allocate the minimum of supply or demand values in that cell. If there is a tie, then select the cell where maximum allocation could be made.Step3: Adjust the supply and demand and eliminate the satisfied row or column. If a row and column are satisfied simultaneously, only of them is eliminated and the other one is assigned a zero value.Any row or column having zero supply or demand, can not be used in calculating future penalties.Step4: Repeat the process until all the supply sources and demand destinations are satisfied.
By Vikrant V. Shaga 30
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
200 3
B14 13 19 15
350 1
C9 20 23 10
150 1
Dummy0 0 0 0
90 0
Demand 100 140 300 250
diff 9 13 19 10
By Vikrant V. Shaga 31
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
200 3
B14 13 19 15
350 1
C9 20 23 10
150 1
Dummy0 0 0 0
90 0
Demand 100 140 300 250
diff 9 13 19 10
90
By Vikrant V. Shaga 32
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
200 3
B14 13 19 15
350 1
C9 20 23 10
150 1
Dummy0 0 0 0
--- ---
Demand 100 140 210 250
diff 5 0 3 5
90
By Vikrant V. Shaga 33
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
200 3
B14 13 19 15
350 1
C9 20 23 10
150 1
Dummy0 0 0 0
--- ---
Demand 100 140 210 250
diff 5 0 3 5
90
100
By Vikrant V. Shaga 34
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
200 4
B14 13 19 15
350 2
C9 20 23 10
50 10
Dummy0 0 0 0
--- ---
Demand --- 140 210 250
diff --- 0 3 5
90
100
By Vikrant V. Shaga 35
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
200 4
B14 13 19 15
350 2
C9 20 23 10
50 10
Dummy0 0 0 0
--- ---
Demand --- 140 210 250
diff --- 0 3 5
90
100 50
By Vikrant V. Shaga 36
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
200 4
B14 13 19 15
350 2
C9 20 23 10
--- ---
Dummy0 0 0 0
--- ---
Demand --- 140 210 200
diff --- 0 3 2
90
100 50
By Vikrant V. Shaga 37
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
200 4
B14 13 19 15
350 2
C9 20 23 10
--- ---
Dummy0 0 0 0
--- ---
Demand --- 140 210 200
diff --- 0 3 2
90
100 50
140
By Vikrant V. Shaga 38
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
60 5
B14 13 19 15
350 4
C9 20 23 10
--- ---
Dummy0 0 0 0
--- ---
Demand --- --- 210 200
diff --- --- 3 2
90
100 50
140
By Vikrant V. Shaga 39
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
60 5
B14 13 19 15
350 4
C9 20 23 10
--- ---
Dummy0 0 0 0
--- ---
Demand --- --- 210 200
diff --- --- 3 2
90
100 50
140 60
By Vikrant V. Shaga 40
Vogel’s Approximation Method Destination
Supply diffSource N S E W
A16 13 22 17
--- ---
B14 13 19 15
350 4
C9 20 23 10
--- ---
Dummy0 0 0 0
--- ---
Demand --- --- 210 140
diff --- ---
90
100 50
140 60
By Vikrant V. Shaga 41
Vogel’s Approximation MethodDestination
Supply diffSource N S E W
A16 13 22 17
--- ---
B14 13 19 15
---
C9 20 23 10
--- ---
Dummy0 0 0 0
--- ---
Demand --- --- --- ---
diff --- ---
90
100 50
140 60
140210
Z=(13x140)+(17x60)+(19x210)+(15x140)+(9x100)+(10x50)+(0x90)=Rs.10330
By Vikrant V. Shaga 42
ConclusionSrno Method Optimum
Solution(Cost in Rs)
1 Northwest Corner Rule 10770
2 Least Cost Entry Method 10750
3 Vogel’s Approximation 10330
By Vikrant V. Shaga 43
In this method , we calculate the net cost change that can be obtained by introducing any of the unoccupied cells into the Solution.
Step1: Determine an I.B.F.S using any of the three Method (i.e. NWCR,LCM or VAM)
Step2: Make sure that no. of occupied cells is exactly equal to (m+n-1).
Step3: Evaluate the cost Effectiveness of shipping goods via transportation routes not currently in the solution. This testing of each unoccupied cell is conducted by 5 steps:
Stepping Stone Method
By Vikrant V. Shaga 44
a) Select an unoccupied cellb) Beginning at this cell , trace a closed path using
the most direct route through at least 3 occupied cells used in the solution and then back to the original occupied cell and moving with only horizontal and vertical moves. Further since only the cell at the turning points are considered to be on the closed path ; both unoccupied & occupied boxes may be skipped over.
The cells at the turning points are called ‘Stepping Stones’ on the path.
Stepping Stone Method
By Vikrant V. Shaga 45
c) Assign (+) & (-) signs alternatively on each corner cell of the closed path; starting with (+) sign at the unoccupied cell to be evaluated.
d) Compute ‘Net Change in the Cost’ along the closed path.
e) Repeat sub steps (a) through (d) . Calculate the ‘Net Change in the Cost’ for all the unoccupied cells.
Stepping Stone Method
By Vikrant V. Shaga 46
Step 4) Check the sign of each ‘Net Change’. If all net cost changes >= 0, an optimum solution reached else go to next step.
Step 5) Select the Unoccupied cell with Highest Negative Net Cost Change and determine the maximum no. of units that can be assigned to a cell marked with (-) sign on the closed path corresponding to this cell. Add this no. to the unoccupied cell and to all other cells on the path marked with (+) sign. Subtract this no. from cells on the closed path marked with (-) sign.
Step 6) Go to Step (2) & repeat procedure until we get an optimum solution.
Stepping Stone Method
By Vikrant V. Shaga 47
The MODI (modified distribution) method allows us to compute improvement indices quickly for each unused square without drawing all of the closed paths. Because of this, it can often provide considerable time savings over other methods for solving transportation problems.
MODI provides a new means of finding the unused route with the largest negative improvement index. Once the largest index is identified, we are required to trace only one closed path. This path
helps determine the maximum number of units that can be shipped via the best unused route
MODI (Modified Distribution)Method
48
Step1) Determine I.B.F.S consisting of (m+n-1) allocations using any of the three methods.Step2) Determine a set of numbers for each row and each column. To compute Ui (i=1,2..m) for each row & Vj (j=1,2..n) for each column
Cij=Ui+Vj for each of the (m+n-1) occupied cells. Step3) For Unoccupied cells, Compute the opportunity cost(improvement index) by:
dij=Cij-(Ui+Vj)By Vikrant V. Shaga
MODI (Modified Distribution)Method
49
Step4) Check the sign of each opportunity cost. If opportunity cost of all unoccupied cells are either POSITIVE or ZERO, the given solution is optimum else it not optimum and further savings in TP cost are possible.Step5) Select the Unoccupied Cell with largest negative opportunity cost as the cell to be included in the next solution.Step6) Draw a closed path or loop for the unoccupied cells selected in step5.By Vikrant V. Shaga
MODI (Modified Distribution)Method
50
Step7) Assign (+) & (-) signs alternatively on each corner cell of the closed path; starting with (+) sign at the unoccupied cell to be evaluated.
Step8) Determine the maximum no. of units that should be shipped to this unoccupied cell.
Step9) Repeat the whole procedure until an optimum solution is attained.
Step10) Finally obtain the total TP cost for new solution.
By Vikrant V. Shaga
MODI (Modified Distribution)Method