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TRANSPORTATION SIMPLEX METHOD: A SPECIAL-PURPOSE SOLUTION PROCEDURE 291
Table 7.7 Final Tableau Showing the Initial Feasible Solution Obtained Using the
Minimum Cost Method
Boston Dubai Singapore London Supply
3 2 7 6
0
Czech 1 000 4 000 1000
Republic 5000
7 5 2 3 0
2500
Brazil 2 500 2 000 1 500 4000
6000
2 5 4 5
0
China 2 500 2500
Demand 6000 4000 2000 1500
3500 0 0 0
2500
0
Table 7.8 Total Cost of the Initial Feasible Solution Obtained Using the
Minimum Cost Method
Route
From To Units Shipped Cost per Unit Total Cost
Czech Republic Boston 1 000 E3 E 3 000
Czech Republic Dubai 4 000 E2 E 8 000
Brazil Boston 2 500 E7 E17 500
Brazil Singapore 2 000 E2 E 4 000
Brazil London 1 500 E3 E 4 500
China Boston 2 500 E2 E 5 000
E42 000
Step 3. If all row supplies and column demands have been exhausted, then stop;
the allocations made will provide an initial feasible solution. Otherwise,
To test your ability to use continue with step 4.
the minimum cost
method to find an initial Step 4. If the row supply is now zero, eliminate the row from further
feasible solution, try part consideration by drawing a line through it. If the column demand is now
(a) of Problem 15. zero, eliminate the column by drawing a line through it.
Step 5. Continue with step 1 for all unlined rows and columns.
Phase II: Iterating to the Optimal Solution
Phase II of the transportation simplex method is a procedure for iterating from the
initial feasible solution identified in phase I to the optimal solution. Recall that each
cell in the transportation tableau corresponds to an arc (route) in the network model
of the transportation problem. The first step at each iteration of phase II is to
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