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TRANSPORTATION SIMPLEX METHOD: A SPECIAL-PURPOSE SOLUTION PROCEDURE  301



                                        Table 7.21 Optimal Solution to a Problem with a Degenerate Initial Feasible
                                        Solution

                                                                           v j
                                                         u i      3        6        7     Supply
                                                                    3        6        7
                                                         0        5        25       30      60


                                                                    8        5        7
                                                         –1       6        30       1       30


                                                                    4        9        11
                                                         1        30       2        3       30


                                                      Demand      35       55       30





                                      programming that takes advantage of the special mathematical structure of the
                                      transportation problem; but because of the special structure, the transportation
                                      Simplex method is hundreds of times faster than the general Simplex method.
                      Try part (b) of Problem  To apply the transportation Simplex method, you must have a transportation
                      15 for practise using the  problem with total supply equal to total demand; so, for some problems you may
                      transportation simplex
                      method.         need to add a dummy origin or dummy destination to put the problem in this form.
                                      The transportation Simplex method takes the problem in this form and applies a
                                      two-phase solution procedure. In phase I, apply the minimum cost method to find
                                      an initial feasible solution. In phase II, begin with the initial feasible solution and
                                      iterate until you reach an optimal solution. The steps of the transportation Simplex
                                      method for a minimization problem are summarized as follows.

                                      Phase I Find an initial feasible solution using the minimum cost method.

                                      Phase II
                                         Step 1. If the initial feasible solution is degenerate with less than m + n   1
                                               occupied cells, add an artificially occupied cell or cells so that m + n   1
                                               occupied cells exist in locations that enable use of the MODI method.
                                         Step 2. Use the MODI method to calculate row indexes, u i , and column
                                               indexes, v j .
                                         Step 3. Calculate the net evaluation index e ij ¼ c ij   u i   v j for each
                                                unoccupied cell.
                                         Step 4. If e ij   0 for all unoccupied cells, stop; you have reached the minimum
                                               cost solution. Otherwise, proceed to step 5.
                                         Step 5. Identify the unoccupied cell with the smallest (most negative) net
                                               evaluation index and select it as the incoming cell.
                                         Step 6. Find the stepping-stone path associated with the incoming cell. Label each
                                               cell on the stepping-stone path whose flow will increase with a plus sign
                                               and each cell whose flow will decrease with a minus sign.




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