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# tut2 - 2-Dimensional Geometry and Sensitivity Analysis An...

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Tutorial: 2D Sensitivity Analysis, for 15.053 1 2-Dimensional Geometry and Sensitivity Analysis. An Online Tutorial It is often the case that data is not known accurately. One of the great strengths of modeling is the opportunity to rerun the model with different data or with different assumptions. When one checks the sensitivity of a model to changes in the data, it is usually referred to as “sensitivity analysis.” Sensitivity analysis is widely used throughout all of Management Science and Operations Research, and is common in other fields as well. Normally, when one wants to check the sensitivity of a model to changes in a single datum (singular of data), one reruns the model with the old datum replaced by the new one. In linear programming models, the number of variables (millions of variables), that one could not expect to check the sensitivity to very much data. But one would be wrong!

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Tutorial: 2D Sensitivity Analysis, for 15.053 2 On Sensitivity Analysis in Linear Programming When the simplex algorithm solves a linear program, it simultaneously generates detailed sensitivity analysis for changes in the RHS coefficients and changes in the cost coefficients. The purpose of this tutorial is to describe this type of sensitivity analysis in the case of linear programs with two variables. We first review David’s Tool Company, which we will use as a running example. Cleaver, an MIT Beaver If you think that this tutorial is valuable to you, please send me two shekels, one for each variable. Just joking.