Animated sensitivity analysis for minimum cost network flow models

Animated sensitivity analysis allows a user to make continuous changes to model inputs and simultaneously see the effects on the model. This produces an animated view of the behavior of the model. Prior research has proposed and demonstrated its use for production scheduling, teaching linear programming and for research on combinatorial optimization. This paper explores its use for minimum cost network flow models, which can model and analyze a variety of interesting problems.<>