A New Approach for Solving Transportation Problems with Mixed Constraints

Abstract

A new method based on transportation algorithm is proposed for finding a optimal more-for-less (MFL) solution for transportation problems with mixed constraints. The optimal MFL solution procedure is illustrated with numerical example. The proposed method is very simple, easy to understand and apply. The existence of a more-for-less situation in distribution problems provides useful information to a manager in deciding on the plant in which capacities are to be increased, and to assess the markets in which it is worthwhile to pursue efforts to increase demand.