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

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 studie...

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Autor principal: Yapura, Pablo Fernando
Formato: Objeto de aprendizaje
Lenguaje:Inglés
Publicado: 2024
Materias:
Ciencias Agrarias
Timber management
Forest-level management planning
Cutting schedule
Management regimes
Optimization
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/163465
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-163465
record_format dspace
spelling I19-R120-10915-1634652024-03-05T17:27:53Z http://sedici.unlp.edu.ar/handle/10915/163465 Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation Yapura, Pablo Fernando 2024-03-05 2024-03-05T17:27:48Z en Ciencias Agrarias Timber management Forest-level management planning Cutting schedule Management regimes Optimization 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 Forestales Objeto de aprendizaje Objeto de aprendizaje http://creativecommons.org/licenses/by-sa/4.0/ Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) application/octet-stream
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Agrarias
Timber management
Forest-level management planning
Cutting schedule
Management regimes
Optimization
spellingShingle Ciencias Agrarias
Timber management
Forest-level management planning
Cutting schedule
Management regimes
Optimization
Yapura, Pablo Fernando
Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation
topic_facet Ciencias Agrarias
Timber management
Forest-level management planning
Cutting schedule
Management regimes
Optimization
description 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.
format Objeto de aprendizaje
Objeto de aprendizaje
author Yapura, Pablo Fernando
author_facet Yapura, Pablo Fernando
author_sort Yapura, Pablo Fernando
title Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation
title_short Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation
title_full Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation
title_fullStr Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation
title_full_unstemmed Forest harvest scheduling with Model I linear programming formulation: a Gurobi Python implementation
title_sort forest harvest scheduling with model i linear programming formulation: a gurobi python implementation
publishDate 2024
url http://sedici.unlp.edu.ar/handle/10915/163465
work_keys_str_mv AT yapurapablofernando forestharvestschedulingwithmodelilinearprogrammingformulationagurobipythonimplementation
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