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

Abstract

To complete and complement previous work dealing with Model I, a second Jupityer Notebook has been developed for teaching purposes to present an implementation of the lesser-used, yet meaningful, Model II for forest harvest planning in Guroby Python. Forest management planning has been rutinarily formulating and optimally solving harvest scheduling problems with linear programs, by far the preferred approach since the popularization of computers in the second half of the 20th century. The same example problem from a classic forest management text is summarized, mainly to set the stage and present the mathematical notation. Again, the concrete implementation has been coded on a Jupyter Notebook stored on the server provided by Google Colab to run Python code. Installation of the Gurobipy library provides a license for the use of the powerful Gurobi solver to optimally solve the problem.