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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidade Federal de Lavras
2011
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| Online Access: | https://www.redalyc.org/articulo.oa?id=74419332004 |
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Table of Contents:
- Methodology for planning log stacking using geotechnology and operations research Mariana Peres de Lima Luis Marcelo Tavares de Carvalho Adriana Zanella Martinhago Luciano Teixeira de Oliveira Samuel de Pádua Chaves e Carvalho Gleyce Campos Dutra Thomaz Chaves de Andrade Oliveira Agrociencias log stacking linear programming Geographic information system In view of the need to improve the planning of timber harvest and transportation, with both activities being the most infl uential in determining the fi nal cost of timber delivered to the mill yard, this work aims to develop a new methodological proposal using operations research and geotechnology tools in order to determine optimal locations for log stacking and also the amount of timber to be allocated to each selected stack. Analysis was performed using two software applications, geographic information system (GIS) and operations research (OR). GIS spatial analyses were based on layers of the study site, which is a property owned by Votorantim Celulose e Papel, located in the municipality of São José dos Campos, in order to obtain three variables: degree of diffi culty in operating forestry equipment, degree of diffi culty in log stacking, and distance between log stacks and existing roadways. To obtain these variables, layers containing information on terrain inclination and existing roadways were combined in another analysis named weighted overlay. Results were then fi ltered and inserted into an operations research environment for maximization of the timber volume in each selected stack. With results obtained from the geographic information system, 80 potential sites were selected for log stacking. By using operations research, 59 of these sites were ruled out, a 73% reduction in the number of potential sites, with only 21 sites remaining as potentially optimal for log storage. For each of these 21 sites, an optimal amount of timber was determined to be allocated to each one of them. 2011 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74419332004 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.3 Vol.17