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These tools range from graphical pinch analysis approaches to mathematical programming models.
First, mathematical programming models for both job release and job scheduling are devised.
The methodology relies on scenario analysis combined with farm level mathematical programming models.
A structured overview of the main strategic capacity planning mathematical programming models is given.
Mathematical programming models are designed to solve the user equilibrium problem in traditional algorithms.
We propose several mathematical programming models for the studied problem followed by a heuristic algorithm.
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The mathematical programming model is validated through numerical analysis.
To this end, a multicriteria mathematical programming model was implemented.
In this paper, a mathematical programming model is presented to route change propagation.
Then, we transfer the introduced nonlinear constraints of the mathematical programming model to the linear constraints.
A practical mathematical programming model for the strategic fuel diversification problem is presented.
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