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SENSITIVITY ANALYSIS WITH THE SIMPLEX TABLEAU  265


                                      valuable management information and should be included as part of the manage-
                                      ment report on any linear programming project. The range of feasibility is typically
                                      made available as part of the computer solution to the problem.

                                      Simultaneous Changes
                                      In reviewing the procedures for developing the range of optimality and the range
                                      of feasibility, we note that only one coefficient at a time was permitted to vary. Our
                                      statements concerning changes within these ranges were made with the under-
                                      standing that no other coefficients are permitted to change. However, sometimes
                                      we can make the same statements when either two or more objective function
                                      coefficients or two or more right-hand sides are varied simultaneously. When the
                                      simultaneous changes satisfy the 100 per cent rule, the same statements are
                                      applicable. The 100 per cent rule was explained in Chapter 3, but we will briefly
                                      review it here.
                                         Let us define allowable increase as the amount a coefficient can be increased
                                      before reaching the upper limit of its range, and allowable decrease as the amount a
                                      coefficient can be decreased before reaching the lower limit of its range. Now
                                      suppose simultaneous changes are made in two or more objective function coeffi-
                                      cients. For each coefficient changed, we compute the percentage of the allowable
                                      increase, or allowable decrease, represented by the change. If the sum of the
                                      percentages for all changes does not exceed 100 per cent, we say that the 100 per
                                      cent rule is satisfied and that the simultaneous changes will not cause a change in the
                                      optimal solution. However, just as with a single objective function coefficient
                                      change, the value of the solution will change because of the change in the coeffi-
                                      cients.
                                         Similarly, if two or more changes in constraint right-hand side values are made,
                                      we again compute the percentage of allowable increase or allowable decrease
                                      represented by each change. If the sum of the percentages for all changes does
                                      not exceed 100 per cent, we say that the 100 per cent rule is satisfied. The dual prices
                                      are then valid for determining the change in value of the objective function asso-
                                      ciated with the right-hand side changes.



                        NOTES AND COMMENTS


                        1 Sometimes, interpreting dual prices and   2 The Notes and Comments in Chapter 3
                          choosing the appropriate sign can be confusing.  concerning sensitivity analysis are also applicable
                          It often helps to think of this process as  here. In particular, recall that the 100 per cent rule
                          follows. Relaxing a   constraint means      cannot be applied to simultaneous changes in the
                          decreasing its right-hand side, and relaxing  objective function and the right-hand sides; it
                          a   constraint means increasing its right-hand  applies only to simultaneous changes in one or
                          side. Relaxing a constraint permits improvement  the other. Also note that this rule does not mean
                          in value; restricting a constraint (decreasing the  that simultaneous changes that do not satisfy the
                          right-hand side of a   constraint or increasing  rule will necessarily cause a change in the
                          the right-hand side of a   constraint) has the  solution. For instance, any proportional change in
                          opposite effect. In every case, the absolute value  all the objective function coefficients will leave the
                          of the dual price gives the improvement in the  optimal solution unchanged, and any proportional
                          optimal value associated with relaxing the  change in all the right-hand sides will leave the
                          constraint.                                 dual prices unchanged.







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