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Linear programming currently occupies a prominent position in various fields and has wide
applications, as its importance lies in being a means of studying the behavior of a large number
of systems as well. It is also the simplest and easiest type of models that can be created to
address industrial, commercial, military and other dilemmas. Through which to obtain the
optimal quantitative value. In this research, we dealt with the post optimality solution, or what
is known as sensitivity analysis, using the principle of shadow prices. The scientific solution
to any problem is not a complete solution once the optimal solution is reached. Any change in
the values of the model constants or what is known as the inputs of the model that will chan
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