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Unit 5: Transportation Problem




          Introduction                                                                          Notes

          Transportation problem is a particular class of linear programming, which is associated with
          day-to-day activities in our real life and mainly deals with logistics. It helps in solving problems
          on distribution and transportation of resources from one place to another. The goods  are
          transported from a set of sources (e.g., factory) to a set of destinations (e.g., warehouse) to meet
          the specific requirements. In other words, transportation problems deal with the transportation
          of a product manufactured at different plants (supply origins) to a number of different warehouses
          (demand destinations). The objective is to satisfy the demand at destinations from the supply
          constraints at the minimum transportation cost possible. To achieve this objective, we  must
          know the quantity of available supplies and the quantities demanded. In addition, we must also
          know the location, to find the cost of transporting one unit of commodity from the place of
          origin to the destination. The model is useful for making strategic decisions involved in selecting
          optimum  transportation routes so as to allocate the production of various  plants to several
          warehouses or distribution centers.
          The transportation model can also be used in making location decisions. The model helps in
          locating a new facility, a manufacturing plant or an office when two or more number of locations
          is under  consideration. The  total transportation cost, distribution cost or shipping cost and
          production costs are to be minimized by applying the model.

          5.1 Modeling of Transportation Problem

          A transportation problem can be expressed in two ways.
          1.   Mathematical representation
          2.   Network  representation

          Obviously the method used for solving the problems is the formulation of transportation problem
          through mathematical methods. But for understanding of the readers, network representation is
          equally important.
          Let us understand each of them one by one.

          5.1.1 Mathematical Representation

          The transportation problem applies to situations where a single commodity is to be transported
          from various sources of supply (origins) to various demands (destinations).
          Let there be m sources of supply S , S , .…..............S  having a  ( i = 1, 2,......m) units of supplies
                                      1  2         m        i
          respectively  to  be  transported  among  n  destinations  D ,  D   ………D   with  b
                                                                 1   2        n       j
          ( j = 1,2…..n) units of requirements respectively. Let C be the cost for shipping one unit of the
                                                      ij
          commodity from source i, to destination j for each route. If x  represents the units shipped per
                                                           ij
          route from source i, to destination j, then the problem is to determine the transportation schedule
          which minimizes the total transportation cost of satisfying supply and demand conditions.
          The transportation problem can be stated mathematically as a linear programming problem as
          below:


          Minimize       Z =   c x
                                     ij ij
                                







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