期刊论文详细信息
CERNE
Methodology for planning log stacking using geotechnology and operations research
Mariana Peres De Lima2  Luis Marcelo Tavares De Carvalho1  Adriana Zanella Martinhago1  Luciano Teixeira De Oliveira1  Samuel De Pádua Chaves E Carvalho1  Gleyce Campos Dutra1  Thomaz Chaves De Andrade Oliveira1 
[1],Universidade Federal de Mato Grosso Instituto de Ciências Agrária e Ambientais Sinop MT ,Brasil
关键词: Geographic information system;    linear programming;    log stacking;    Sistema de informação geográfica;    programação linear;    empilhamento;   
DOI  :  10.1590/S0104-77602011000300004
来源: SciELO
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【 摘 要 】
In view of the need to improve the planning of timber harvest and transportation, with both activities being the most influential in determining the final 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 amountof 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 difficulty in operating forestry equipment, degree of difficulty 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 filtered and inserted into an operations research environment for maximizationof 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 wasdetermined to be allocated to each one of them.
【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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