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

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 fo...

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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
Harvest opportunities
Optimization
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/168288
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-168288
record_format dspace
spelling I19-R120-10915-1682882024-08-01T18:53:52Z http://sedici.unlp.edu.ar/handle/10915/168288 Forest harvest scheduling with Model II linear programming formulation: a Gurobi Python implementation Yapura, Pablo Fernando 2024-07-30 2024-08-01T18:53:50Z en Ciencias Agrarias Timber management Forest-level management planning Cutting schedule Harvest opportunities Optimization 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. 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
Harvest opportunities
Optimization
spellingShingle Ciencias Agrarias
Timber management
Forest-level management planning
Cutting schedule
Harvest opportunities
Optimization
Yapura, Pablo Fernando
Forest harvest scheduling with Model II linear programming formulation: a Gurobi Python implementation
topic_facet Ciencias Agrarias
Timber management
Forest-level management planning
Cutting schedule
Harvest opportunities
Optimization
description 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.
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 II linear programming formulation: a Gurobi Python implementation
title_short Forest harvest scheduling with Model II linear programming formulation: a Gurobi Python implementation
title_full Forest harvest scheduling with Model II linear programming formulation: a Gurobi Python implementation
title_fullStr Forest harvest scheduling with Model II linear programming formulation: a Gurobi Python implementation
title_full_unstemmed Forest harvest scheduling with Model II linear programming formulation: a Gurobi Python implementation
title_sort forest harvest scheduling with model ii linear programming formulation: a gurobi python implementation
publishDate 2024
url http://sedici.unlp.edu.ar/handle/10915/168288
work_keys_str_mv AT yapurapablofernando forestharvestschedulingwithmodeliilinearprogrammingformulationagurobipythonimplementation
_version_ 1807223671644749824

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