Transportation problem is one of the most best known linear programming problems in which all the constraints are of equality type. In many industrial problems, a particular item is transferred from the warehouses or the supply points to the retailers through identical vehicles, or by identical freight wagons. The traditional transportation problem is to transport the required goods from the supply points to the demand points so as to minimize the total transportation costs. In some cases, the amount of total availability is more than the total demands. Under this condition, the TP problem is reduced to an unbal- anced TP.
It is well known that the unbalanced transportation problem is reduced to a balanced TP, with one (dummy) column or row with zero costs added to the original transportation matrix. Because of these zeros, VAM applied to such a problem does not yield satisfactory results. To overcome this difficulty, Goyal (1984) suggested the replacement of zero costs in the dum- my column by the largest unit transportation costs. Ramakrishana (1988) pointed out how Goyal’s modification of Vogel approximation method for the unbalanced TP can be improved by subtracting or adding suitable constraints to the rows and columns of the cost matrix. In this case, the supplied amount by the suppliers is not equal to the received amount by the retailers.
Transportation problem is one of the most best known linear programming problems in which all the constraints are of equality type. In many industrial problems, a particular item is transferred from the warehouses or the supply points to the retailers through identical vehicles, or by identical freight wagons. The traditional transportation problem is to transport the required goods from the supply points to the demand points so as to minimize the total transportation costs. In some cases, the amount of total availability is more than the total demands. Under this condition, the TP problem is reduced to an unbal- anced TP.It is well known that the unbalanced transportation problem is reduced to a balanced TP, with one (dummy) column or row with zero costs added to the original transportation matrix. Because of these zeros, VAM applied to such a problem does not yield satisfactory results. To overcome this difficulty, Goyal (1984) suggested the replacement of zero costs in the dum- my column by the largest unit transportation costs. Ramakrishana (1988) pointed out how Goyal’s modification of Vogel approximation method for the unbalanced TP can be improved by subtracting or adding suitable constraints to the rows and columns of the cost matrix. In this case, the supplied amount by the suppliers is not equal to the received amount by the retailers.
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Transportation problem is one of the most best known linear programming problems in which all the constraints are of equality type. In many industrial problems, a particular item is transferred from the warehouses or the supply points to the retailers through identical vehicles, or by identical freight wagons. The traditional transportation problem is to transport the required goods from the supply points to the demand points so as to minimize the total transportation costs. In some cases, the amount of total availability is more than the total demands. Under this condition, the TP problem is reduced to an unbal- anced TP.
It is well known that the unbalanced transportation problem is reduced to a balanced TP, with one (dummy) column or row with zero costs added to the original transportation matrix. Because of these zeros, VAM applied to such a problem does not yield satisfactory results. To overcome this difficulty, Goyal (1984) suggested the replacement of zero costs in the dum- my column by the largest unit transportation costs. Ramakrishana (1988) pointed out how Goyal’s modification of Vogel approximation method for the unbalanced TP can be improved by subtracting or adding suitable constraints to the rows and columns of the cost matrix. In this case, the supplied amount by the suppliers is not equal to the received amount by the retailers.
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