Producción CyT
Memorias de las JAIIO - Optimization of forest management strategies using clustering method and mathematical programming: a case study in Misiones, Argentina
Congreso
Autoría:
Dussel, Maria Emilia ; Piedra Jimenez, Frank Cecilio ; Novas, J. Matias ; RODRIGUEZ, MARIA ANALIAFecha:
2024Editorial y Lugar de Edición:
SADIOResumen *
In this study, a novel decision-making approach is proposedfor the forest management planning process. Even in small-scale casesof study, the relationship between the dataset size and the complexity ofmathematical optimization models (in terms of constraints and variables)is factorial, resulting in exponential increases in computational complexity.Thus, while acknowledging large size and realistic data is crucial toaccount for reasonable conclusions, it is also a challenge itself. Hence, aprocedure is proposed to approach this strategic problem. First, randomdata is generated to assume an ongoing forest inventory. Second, data isprocessed applying three successive grouping steps to enhance the utilizationof large datasets. Within this stage, clustering techniques are appliedusing the Scikit-learn library for a large group of stands with severalcharacteristics. Last, a mathematical framework is presented, rootedin Generalized Disjunctive Programming (GDP) and reformulated as aMixed Integer Linear Programming (MILP) model, to address optimalforest management strategy to maximize the net present value (NPV). TheMILP model is implemented in Pyomo library in Python and solved usingGAMS-CPlex. The feasibility of the proposed model is assessed usingdata obtained from the Desarrollo Foresto Industrial web page of the Secretaríade Agricultura, Ganadería y Pesca (Ministerio de Economía de laRepública Argentina). Computational analysis demonstrates the versatilityof the framework as a decision-making tool, highlighting its ability togenerate diverse and viable solutions for forest management. Información suministrada por el agente en SIGEVAPalabras Clave
FORESTRY PLANNINGCLUSTERING METHODGENERALIZED DISJUNCTIVE PROGRAMMING