Data/hora: 01/06/2024 01:25:12

Provedor de dados: 	Scientia Agricola	
País: 	Brazil	
Título: 	A critical survey of optimization methods in industrial forest plantations management	
Autores: 	Belavenutti,Pedro; Romero,Carlos; Diaz-Balteiro,Luis.	
Data: 	2018-05-01	
Ano: 	2018	
Palavras-chave: 	Mathematical programming; Forest management; Industrial plantations; Timber harvest scheduling.	
Resumo: 	ABSTRACT: The application of optimization methods to forest management has given rise to a successful line of investigation in recent decades. However, there have been few publications associated with the application of these techniques to the management of industrial forest plantations (those with short or medium rotations, always less than 50 years), which consider the important role played by these forest systems in the supply of diverse goods and services. This study presents an overview of this literature which, by analyzing 67 articles published in journals contained in the ISI Web of Science, highlight, among other aspects, the techniques employed, their evolution, their planning type (strategic, tactical or operational), the functional objectives and constraints considered, or the type of software deployed in these studies. The results show how Model I has been the one most frequently used in these studies, and how the spatial component is increasing in importance. However, classic optimization methods, such as mixed integer programming, have been those most commonly resorted to, although the employment of multi-criteria techniques such as goal programming and analytic hierarchical process have strongly emerged in recent years.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000300239	
Editor: 	São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"	
Relação: 	10.1590/1678-992x-2016-0479	
Formato: 	text/html	
Fonte: 	Scientia Agricola  v.75 n.3 2018	
Fonte: 	info:eu-repo/semantics/openAccess