A critical survey of optimization methods in industrial forest plantations management
| Autor: | Carlos Romero, Pedro Belavenutti, Luis Diaz-Balteiro |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science Process (engineering) Forest management forest management 01 natural sciences timber harvest scheduling Software Goods and services Goal programming Component (UML) mathematical programming industrial plantations lcsh:Agriculture (General) Integer programming 0105 earth and related environmental sciences 040101 forestry Management science business.industry 04 agricultural and veterinary sciences 15. Life on land lcsh:S1-972 Optimization methods 0401 agriculture forestry and fisheries Animal Science and Zoology business Agronomy and Crop Science |
| Zdroj: | Scientia Agricola Scientia Agricola, Vol 75, Iss 3, Pp 239-245 Scientia Agricola, Volume: 75, Issue: 3, Pages: 239-245, Published: MAY 2018 Scientia Agricola v.75 n.3 2018 Scientia Agrícola Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 1678-992X 0103-9016 |
| DOI: | 10.1590/1678-992x-2016-0479 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|