Methodology for planning log stacking using geotechnology and operations research

Lima, Mariana Peres de; Carvalho, Luís Marcelo Tavares de; Martinhago, Adriana Zanella; Oliveira, Luciano Teixeira de; Dutra, Gleyce Campos; Oliveira, Thomaz

doi:10.1590/s0104-77602011000300004

Cited by 3 publications

(7 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nas quais, destas áreas, foram reclassificadas considerando a inclinação máxima de: 50% (27º) para movimentação de maquinários florestais mais utilizados na colheita florestal, como harvester e forwarder; 10% (6,35º) para empilhamento das toras nos pátios de estocagem (LIMA et al, 2011); e 8 a 10% para estradas florestas (ROCHA et al, 2007).…”

Section: Etapa 1) Classificação Do Uso Do Solounclassified

“…Em seguida, as classes foram ponderadas com valores variando de 1 a 10, considerando 1 à melhor área e 10 à pior área para movimentação de maquinários de colheita e transporte florestal (LIMA et al, 2011;ROCHA et al, 2007), ou seja, para implantação florestal (Tabela 2). Enquanto que o ponto de origem foi uma fábrica hipotética, com a localização determinada de forma aleatória pela ferramenta Create Randon points.…”

Section: Etapa 1) Classificação Do Uso Do Solounclassified

“…Para auxiliar nesta problemática, a utilização de geotecnologias tem papel fundamental para viabilizar a tomada de decisão florestal (EMMERT et al, 2010;LIMA et al, 2011;AKGUL et al, 2017). O uso de um Sistema de Informação Geográfica (SIG) pode ser muito eficiente por possuir algoritmos capazes de efetuar análises de custos com relação às distâncias de um determinado ponto de interesse, como por exemplo uma fábrica para as áreas de plantio.…”

Section: Introductionunclassified

See 2 more Smart Citations

Análise Espacial Para Seleção De Área Ideal À Implantação De Povoamentos Florestais No Estado Do Paraná

Kazama¹,

Côrte²,

Rex³

et al. 2018

Enci Bio

View full text Add to dashboard Cite

RESUMOO objetivo deste trabalho foi determinar as áreas ideias para a implantação de povoamentos florestais no Estado do Paraná, conforme os critérios de restrição do uso do solo, declividade e distância da fábrica, utilizando ambiente SIG. A área de estudo foi a microbacia do Rio Miringuava e os dados utilizados desta área foram adquiridos por instituições do estado, AGUASPARANÁ e ITCG. A análise e o processamento dos dados foram realizados no ArcGis versão 10.4. A partir da informação do uso do solo, foi analisado que 71,85% da área de estudo é considerada restrita aos plantios florestais e 2% (107,74 ha) à inclinação. Foram obtidas quatro classes de custo de distância, nas quais, foram cruzadas com as classes de uso do solo e declividade ideais para plantio e resultaram em 10 classes distintos. Dessas classes, observa-se que 18% (793,23 ha) está nas classes de melhores condições para implantação de povoamentos florestais: baixa declividade e baixo custo de distância. Conclui-se que a metodologia do presente estudo permitiu identificar as áreas aptas para implantação de povoamentos florestais de forma ágil. O ganho no processamento e na obtenção dos resultados se deu por meio da obtenção de dados pré-processados. PALAVRAS-CHAVE: atributos do solo; geoprocessamento, plantios florestais. SPACE ANALYSIS FOR THE SELECTION OF AN IDEAL AREA FOR ESTABLISHMENT OF FOREST PLANTATIONS IN PARANÁ STATE ABSTRACTThe objective of this search was to determine the ideal areas for implantation of forest in the State of Paraná, according to the criteria of restriction of land use, declivity and distance from the factory, using GIS environment. The study area was the Miringuava River basin and data from this area were acquired by state institutions, AGUASPARANÁ and ITCG. Data analysis and processing were accomplished in ArcGis version 10.4. From the soil use information, it was analyzed that 71.85% of the study area is considered restricted to forest plantations and 2% (107.74 ha) to the slope. Four classes of distance were obtained, in which they were crossed with classes of soil use and slope ideal for forest plantation and resulted in 10 different classes. Of these classes, it is observed that 18% (793,23 ha) is in the best conditions for the implantation of forest stands: low slope and low cost of ENCICLOPÉDIA BIOSFERA, Centro Científico Conhecer -Goiânia, v.15 n.27; p. 2018 1 distance. It is concluded that the methodology of the present study allowed the identification of suitable areas for the implantation of forest plantations in an agile way. The gain in processing and in obtaining the results was obtained through the obtaining of pre-processed data.

show abstract

Section: Etapa 1) Classificação Do Uso Do Solounclassified

Section: Introductionunclassified

See 1 more Smart Citation

Análise Espacial Para Seleção De Área Ideal À Implantação De Povoamentos Florestais No Estado Do Paraná

Kazama¹,

Côrte²,

Rex³

et al. 2018

Enci Bio

View full text Add to dashboard Cite

show abstract

“…Moura and Scaraficci (2008), using a hybrid GRASP-Linear Programming Metaheuristic, scheduled the wood transportation from harvested areas to mills on a day-to-day basis on a 1-year horizon. De Lima et al (2011) proposed a log stacking allocation problem. The authors defined operational issues as the difficulty to move forestry equipment, the difficulty in log stacking, and To elaborate a production plan minimizing the variance of wood density at each cooker and period.…”

Section: Related Work In the Literaturementioning

confidence: 99%

A hybrid collaborative algorithm to solve an integrated wood transportation and paper pulp production problem

Pécora

Ruiz

Soriano

2016

Journal of the Operational Research Society

View full text Add to dashboard Cite

This paper proposes a hybrid algorithm to tackle a real-world problem arising in the context of pulp and paper production. This situation is modelled as a production problem where one has to decide which wood will be used by each available processing unit (wood cooker) in order to minimize the variance of wood densities within each cooker for each period of the planning horizon. The proposed hybrid algorithm is built around two distinct phases. The first phase uses two interacting heuristic methods to identify a promising reduced search space, which is then thoroughly explored in the second phase. This hybrid algorithm produces high-quality solutions in reasonable computation times, especially for the largest test instances. Extensive computational experiments demonstrated the robustness and efficiency of the method.

show abstract

“…They can generate alternatives to optimize the production process and reduce operational costs. They can also be applied to road transportation of logs, which has a big contribution to the costs of wood delivered to the consumers (LIMA et al, 2011). This forest operation is affected by factors, such as the simple definition of the place to locate pile logs around stands.…”

Section: Introductionmentioning

confidence: 99%

Influence of Wood Stacking Location on Forest Transport Costs

Fernandes

Matos

Magalhães

et al. 2019

View full text Add to dashboard Cite

Given the importance of forest transportation planning due to its high contribution in wood final cost, the distance between forest plantation stands and the wood final destination should be optimized in order to reduce process cost. The relation between distance and transportation cost is known, yet, it is still necessary to evaluate how much the location of the wood piles inside the stand interferes with its final cost. Thus, we try to evaluate the influence of the wood stacking location on forest transportation costs. The vectorization of the general map of a property located in Minas Gerais state was performed through the QGIS software, by representing the planting areas by polygons, internal and external access roads by lines, and the possible wood-stacking location to be transported by points. In each stand, four wood-stacking sites were considered, each on one side of the stand. Considering this, optimal route simulations were performed based on the criterion of the shortest distance between each pile of wood and a carbonization plant. The results showed a 32% reduction in the final cost of transportation when the wood is stacked in places closer to the carbonization plant. Therefore, the results evidence that the choice of the ideal stacking point, in the aspect of closer proximity to the destination of the wood transportation, can generate savings in this process.

show abstract

Methodology for planning log stacking using geotechnology and operations research

Cited by 3 publications

References 5 publications

Análise Espacial Para Seleção De Área Ideal À Implantação De Povoamentos Florestais No Estado Do Paraná

Análise Espacial Para Seleção De Área Ideal À Implantação De Povoamentos Florestais No Estado Do Paraná

A hybrid collaborative algorithm to solve an integrated wood transportation and paper pulp production problem

Influence of Wood Stacking Location on Forest Transport Costs

Contact Info

Product

Resources

About