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SPECIAL CASES  239


                                         Continuing with two more iterations of the Simplex method provides the follow-
                                      ing final tableau:


                                                             x 1      x 2     s 1      s 2      s 3
                                        Basis       c B      2        3        0        0       0

                                        x 1         2         1       0        0        1       1        250
                                        x 2         3         0       1        0       2        1        100
                                        s 1          0        0       0        1        1       1        125
                                                             2        3        0        4       1        800
                                              z j
                                                              0       0        0       4        1
                                             c j – z j

                                         The value of the objective function  800 must be multiplied by  1 to obtain the
                                      value of the objective function for the original minimization problem. Thus, the
                      Try Problem 14 for  minimum total cost of the optimal solution is E800.
                      practise solving a  In the next section we discuss some important special cases that may occur when
                      minimization problem
                      with the Simplex method.  trying to solve any linear programming problem. We will only consider the case
                                      for maximization problems, recognizing that all minimization problems can be converted
                                      into an equivalent maximization problem by multiplying the objective function by  1.



                                5.8     Special Cases

                                      In Chapter 2 we discussed how infeasibility, unboundedness and alternative optimal
                                      solutions could occur when solving linear programming problems using the graph-
                                      ical solution procedure. These special cases can also arise when using the Simplex
                                      method. In addition, a special case referred to as degeneracy can theoretically cause
                                      difficulties for the Simplex method. In this section we show how these special cases
                                      can be recognized and handled when the Simplex method is used.

                                      Infeasibility
                                      Infeasibility occurs whenever no solution to the linear programme can be found that
                                      satisfies all the constraints, including the nonnegativity constraints. Let us now see
                                      how infeasibility is recognized when the Simplex method is used.
                                         In Section 5.6, when discussing artificial variables, we mentioned that infeasibility
                                      can be recognized when the optimality criterion indicates that an optimal solution
                                      has been obtained and one or more of the artificial variables remain in the solution
                                      at a positive value. As an illustration of this situation, let us consider another
                                      modification of the HighTech Industries problem. Suppose management imposed
                                      a minimum combined total production requirement of 50 units. The revised problem
                                      formulation is shown as follows.
                                                      Max    50x 1 þ 40x 2
                                                      s:t:
                                                               3x 1 þ 5x 2   150 Assembly time
                                                                   1x 2   20 Ultraportable display
                                                               8x 1 þ 5x 2   300 Warehouse space
                                                               1x 1 þ 1x 2   50 Minimum total production
                                                              x 1 ; x 2   0




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