Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation

Abstract

A Jupityer Notebook has been developed for teaching purposes to present an implementation of the well-known Model I for forest harvest planning in Guroby Python. Since the 1960s, forest management has formulated and solved this planning problem as a linear programming problem, the most widely studied and employed mathematical optimization technique. To show the implementation, the example problem from a classic forest management text is used and summarily reviewed, mainly to establish the context and introduce the mathematical notation. The concrete implementation has been coded on a Jupyter Notebook that was stored on the server provided by Google Colab to run Python code. An installation of the Gurobipy library that provides a license for the use of the powerful Gurobi solver was also used to find the optimal solution to the problem.Facultad de Ciencias Agrarias y Forestale

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