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58    CHAPTER 2 AN INTRODUCTION TO LINEAR PROGRAMMING


                                     Figure 2.15 The Feasible Region for the M&D Chemicals Problem

                                                     B
                                                  600


                                                  500  Processing Time  A = 125


                                                 Litres of Product B  400  1A + 1B= 350



                                                  300

                                                      Production
                                                  200           2A + 1B = 600


                                                  100


                                                                                                A
                                                     0     100    200   300    400    500    600
                                                                   Litres of Product A




                                     graphical solution procedure for this problem, just as in the GulfGolf problem,
                                     requires us to first graph the constraint lines to find the feasible region. By graphing
                                     each constraint line separately and then checking points on either side of the
                                     constraint line, the feasible solutions for each constraint can be identified. By
                                     combining the feasible solutions for each constraint on the same graph, we obtain
                                     the feasible region shown in Figure 2.15.
                                       To find the minimum-cost solution, we now draw the objective function line
                                     corresponding to a particular total cost value. For example, we might start by
                                     drawing the line 2A +3B ¼ 1200. This line is shown in Figure 2.16. Clearly some
                                     points in the feasible region would provide a total cost of E1200. To find the values
                                     of A and B that provide smaller total cost values, we move the objective function line
                                     in a lower left direction until, if we moved it any farther, it would be entirely outside
                                     the feasible region. Note that the objective function line 2A +3B ¼ 800 intersects
                                     the feasible region at the extreme point A ¼ 250 and B ¼ 100. This extreme point
                                     provides the minimum-cost solution with an objective function value of 800. From
                                     Figures 2.15 and 2.16, we can see that the total production constraint and the
                                     processing time constraint are binding. Just as in every linear programming problem,
                                     the optimal solution occurs at an extreme point of the feasible region.
                                     Summary of the Graphical Solution Procedure for Minimization
                                     Problems
                    Can you use the  The steps of the graphical solution procedure for a minimization problem are
                    graphical solution  summarized here:
                    procedure to determine
                    the optimal solution for a  1 Prepare a graph of the feasible solutions for each of the constraints.
                    minimization problem?
                    Try problem 8      2 Determine the feasible region by identifying the solutions that satisfy all the
                                         constraints simultaneously.




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