Influência da dimensão e qualidade dos cavacos na polpação

Camargo, Sâmique Kyene de Carvalho Araújo; Silva, Tiago José da; Costa, Daiane de Moura

doi:10.5902/2236117018558

Cited by 3 publications

(2 citation statements)

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“…The literature mentions productivities from 3.5 to 5.1 m 3 per ton of dry pulp [13]. To sustain their high level of productivity, Brazilian pulp mills' main concerns regarding wood quality are (i) wood density [13], (ii) size uniformity of the chips [29], and (iii) chemical composition [30].…”

Section: Case Studymentioning

confidence: 99%

A Compromise Programming Application to Support Forest Industrial Plantation Decision-Makers

Nobre

Dı́az-Balteiro

Rodriguez

2021

Forests

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The conflicts that arise between natural resources consumption and the desire to preserve them make the multicriteria decision theory necessary. Brazil, one of the 10 largest timber producers globally, uses optimization models that represent the growth of forests integrated with decision support systems. Brazilian forest plantation managers often face conflicts when continuously seeking efficiency gains (higher productivity at lower costs) and efficacy (higher profits with minimum social and environmental impacts). Managers of leading producing countries on timber, pulp, and fiberboard constantly interact to fine-tune industry processing demands vis-a-vis the demands of highly productive fast-growing forest plantations. The decision process in such cases seeks a compromise that accommodates short-term industry productivity optimization and long-term forestry production capacity. This paper aims to apply a forest management decision support system (FMDSS) to a case study that represents the challenges that industrial plantations in Brazil usually face. A vertically integrated pulp company situation was simulated to provide a real scenario. In this scenario, forest managers tend to shorten the rotations due to Brazil’s usually high-interest rates; meanwhile, industrial managers tend to ask for longer ones due to the positive correlation between age and wood density. Romero®, a Forest Management Decision Support System, developed by following the multi-criteria decision theory, was used to process the case study. Expressly, the hypothesis that mill managers initially have, that older ages rotation could improve mill production, was not confirmed. Moreover, mill managers lean towards changes in the short term, while the case study shows that changes in rotation size and genetic material take time, and decisions have to be made involving both interests: forest and mill managers.

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Section: Case Studymentioning

confidence: 99%

A Compromise Programming Application to Support Forest Industrial Plantation Decision-Makers

Nobre

Dı́az-Balteiro

Rodriguez

2021

Forests

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“…While the literature mentions industrial productivities from 3.5 to 5.1 m 3 per ton of dry pulp (Mokfienski et al, 2008). To sustain their high level of industrial productivity, Brazilian pulp mills' main concerns in terms of wood quality are (i) the wood density (Mokfienski et al, 2008), (ii) the size uniformity of the chips (Camargo et al, 2015), and (iii)chemical composition (Alves et al, 2011).…”

Section: Technology Descriptionmentioning

confidence: 99%

Forest management decision support system for forest plantations in Brazil : a multicriterial approach

Nobre¹

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Forests have been the primary source of fibers, food, water, biodiversity, energy, recreation, scenic beauty, and environmental services. Forest management science encompasses the challenge of working with forests in a way that produces required benefits now without compromising future benefits and choices. The concept of optimized forest management has become broader in recent decades. Pressure toward social, economic, and environmental sustainability pushes up research to cover these demands by improving models, introducing new methods, and adding holistic planning approaches in forest management decision support systems (FMDSS). The conflicts that arise between the desire to consume natural resources and the desire to preserve them make the multicriteria decision theory necessary. Brazil, one of the ten largest timber producers in the world, has the second largest forest cover on the planet. It also uses optimization models that represent the growth of forests integrated with decision support systems that assist managers in their decisions. However, forest planning models and applied decision support systems are not uniformly developed and available for all types of problems encountered in the country. Brazilian forest plantation managers have to face many conflicts when continuously seeking gains regarding efficiency (higher productivity at lower costs) and efficacy (higher profits with minimum social and environmental impacts).Leading producing countries on timber, pulp, and fiberboard have their managers constantly interact to fine-tune industry processing demands vis-a-vis the demands of highly productive fast-growing forest plantations. The decision process in such cases seeks a compromise that accommodates frequently conflicting objectives. Therefore, this research work aims to develop a forest management decision support system (FMDSS) based on multicriteria decision-making (MCDM) techniques to support group decision-making (GDM) in the diversified context of forest plantations in Brazil. Explicitly, the objective is developing a set of models to optimize forest management embedded in a DDS to meet the needs of the decision-makers of the different types of forest plantation organizations that operate in Brazil. This set of models encompasses multicriteria mathematical programming models, processes, and data models structured in such a way to be versatile enough to support interactive group decision-making.

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Potencial da madeira de Pinus glabra para produção de polpa celulósica

Vivian

Modes

Caetano

2020

MYB

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Há mais de um século as espécies de Pinus estão presentes no Brasil, com destaque para o Pinus taeda, com aplicações em diversos setores. Entretanto o Pinus glabra, objeto deste estudo, não conta com muitas informações sobre o potencial tecnológico de sua madeira. Assim o objetivo do estudo é inferir sobre a qualidade da madeira do P. glabra para produção de polpa celulósica, comparando-a ao P. taeda, principal espécie empregada para fabricação de polpa celulósica de fibra longa no Brasil. Para isso foram abatidas quatro árvores, das quais retiraram-se discos visando a caracterização física, química e anatômica da madeira. Em relação a densidade básica (massa seca/volume verde), observaram-se os valores médio e ponderado de 0,421 g/cm-3 e 0,424 g/cm-3, respectivamente, o que a classifica como de baixa densidade. Na caracterização anatômica obtiveram-se os valores médios de comprimento de 3,14 mm, largura de 27,18 µm, diâmetro do lúmen de 15,39 µm e espessura da parede de 5,89 µm dos traqueídeos, que resultaram em 44,72%, 55,28%, 0,90 e 120,72 para os parâmetros de fração parede, coeficiente de flexibilidade, índice de Runkel e índice de enfeltramento, respectivamente. Para a composição química foram observados baixos teores de cinzas (0,25%) e extrativos (1,91%), e teores intermediários de lignina (29,93%) e holocelulose (67,91%). Desta forma a madeira de P. glabra apresenta potencial para produção de polpa celulósica, o qual deve ser comprovado por meio de ensaios de polpação.

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Influência da dimensão e qualidade dos cavacos na polpação

Cited by 3 publications

References 1 publication

A Compromise Programming Application to Support Forest Industrial Plantation Decision-Makers

A Compromise Programming Application to Support Forest Industrial Plantation Decision-Makers

Forest management decision support system for forest plantations in Brazil : a multicriterial approach

Potencial da madeira de Pinus glabra para produção de polpa celulósica

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