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32    CHAPTER 1 INTRODUCTION


                                     The Edit Menu
                                     After a new problem has been solved, you may want to make one or more mod-
                                     ifications to the problem before resolving. The Edit menu provides the option to
                                     display the problem and then make revisions in the problem before solving or saving.
                                     In the linear and integer programming modules, the Edit menu also includes options
                                     to change the problem size by adding or deleting variables and adding or deleting
                                     constraints. Similar options to change the problem size are provided in the Edit
                                     menu of the transportation and assignment modules.

                                     The Solution Menu
                                     The Solution menu provides three options.

                                     Solve This option solves the current problem and displays the solution on the
                                     screen.

                                     Print Once the solution is on the screen, the Print option sends the solution to a
                                     printer.

                                     Save As Text File Once the solution is on the screen, the Save As Text File option
                                     enables the solution to be saved as a text file. The text file can be accessed later by a
                                     word processor so that the solution output may be displayed as part of a solution
                                     report.

                                     Advice About Data Input

                                     Any time a new problem is selected, the appropriate module will provide dialogue
                                     boxes and forms for describing the features of the problem and for entering data.
                                     When using The Management Scientist, you may find the following data input
                                     suggestions helpful.
                                       1 Do not enter commas (,) with your input data. For example, the value 104,000
                                         should be entered with the six digits: 104000.
                                       2 Do not enter the dollar sign ($) for profit or cost data. For example, a cost of
                                         $20.00 should be entered as 20.
                                       3 Do not enter the percent sign (%) if percentage is requested. For example,
                                         25% should be entered as 25, not 25% or .25.
                                                                                                       1
                                                                                                          2
                                       4 Occasionally, a model may be formulated with fractional values such as / 4 , / 3 ,
                                         5
                                          / 6 , and so on. The data input for The Management Scientist must be in
                                                                 1
                                         decimal form. The fraction / 4 can be entered as .25. However, fractions such as
                                         2      5
                                          / 3 and / 6 have repeating decimal forms. In these cases, we recommend the
                                         convention of rounding to five places such as .66667 and .83333.
                                       5 Finally, we recommend that in general you attempt to scale extremely large
                                         input data so that smaller numbers may be input and operated on by the
                                         computer. For example, costs such as $2 500 000 may be scaled to 2.5 with the
                                         understanding that the data used in the problem reflect millions of dollars.















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