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230   CHAPTER 5 LINEAR PROGRAMMING: THE SIMPLEX METHOD



                      NOTES AND COMMENTS


                         he entries in the net evaluation row provide the  improve before it would be possible for the corre-
                      T reduced costs that appear in the computer sol-  sponding variable to assume a positive value in the
                      ution to a linear programme. Recall that in Chapter 3  optimal solution. In general, the reduced costs are
                      we defined the reduced cost as the amount by which  the absolute values of the entries in the net evalua-
                      an objective function coefficient would have to  tion row.







                               5.6    Tableau Form: The General Case


                    This section explains  When a linear programme contains all less-than-or-equal-to constraints with nonneg-
                    how to get started with
                    the Simplex method for  ative right-hand side values, it is easy to set up the tableau form; we simply add a slack
                    problems with greater-  variable to each constraint. However, obtaining the tableau form is more complex if the
                    than-or-equal-to and  linear programme contains greater-than-or-equal-to constraints, equality constraints
                    equality constraints.
                                     and/or negative right-hand side values. In this section we describe how to develop
                                     tableau form for each of these situations and also how to solve linear programmes
                                     involving equality and greater-than-or-equal-to constraints using the Simplex method.

                                     Greater-Than-or-Equal-to Constraints (‡)

                                     Suppose that in the HighTech Industries problem, management wanted to ensure that
                                     the combined total production for both models would be at least 25 units. This require-
                                     ment means that the following constraint must be added to the current linear programme:
                                                                   1x 1 þ 1x 2   25
                                     Adding this constraint results in the following modified problem:

                                                     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   25 Minimum total production
                                                            x 1 ; x 2   0
                                     First, we use three slack variables and one surplus variable to write the problem in
                                     standard form. This provides the following:


                                                    Max  50x 1 þ 40x 2 þ 0s 1 þ 0s 2 þ 0s 3 þ 0s 4
                                                    s:t:
                                                          3x 1 þ 5x 2 þ 1s 1            ¼ 150         (5:9)
                                                                1x 2   þ 1s 2           ¼ 20         (5:10)
                                                          8x 1 þ 5x 2       þ 1s 3      ¼ 300        (5:11)
                                                          1x 1 þ 1x 2              1s 4  ¼ 25        (5:12)
                                                           x 1 ; x 2 ; s 1 ; s 2 ; s 3 ; s 4   0





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