Conversão de árvores em multiprodutos da madeira utilizando programação inteira

Campos, Bráulio Pizziôlo Furtado; Binoti, Daniel Henrique Breda; Silva, Márcio Lopes da; Leite, Hélio Garcia; Binoti, Mayra Luiza Marques da Silva

doi:10.1590/s0100-67622013000500010

Cited by 12 publications

(12 citation statements)

References 4 publications

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“…Forest operational planning is a fundamental task for any company in a competitive environment, as it allows establishing priorities and defining actual strategies to achieve satisfactory results in the future (CAMPOS et al, 2013). The efficient production planning has great potential to reduce uncertainties involved in the decision-making process and to increase possibilities of achieving objectives and goals established by the company (REBOUÇAS, 2002).…”

Section: Introductionmentioning

confidence: 99%

Strategies for regulating timber volume in forest stands

Fiorentin¹,

Arce²,

Pelissari³

et al. 2017

Sci. For.

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ResumoOs objetivos desta pesquisa foram: 1) avaliar duas estratégias de otimização para minimizar a diferença entre a máxima e mínima produção anual e minimizar os desvios de produção entre anos consecutivos; 2) comparar a sua performance com dois modelos tradicionais para regular o fluxo de volume de madeira. O problema deste estudo representou a situação real de uma empresa localizada no estado de Santa Catarina, Brasil, onde a estrutura da floresta estava altamente irregular, devido ao predomínio de povoamentos em idades avançadas. Alternativas de manejo foram propostas para cada povoamento e a programação linear foi usada para otimizar a estrutura da floresta. As estratégias alcançaram a demanda industrial de madeira em todos os períodos do horizonte de planejamento. O modelo que maximizou a produção (Estratégia 1) e o valor presente líquido (Estratégia 2) resultou na maior produção de volume e no maior retorno financeiro, respectivamente. No entanto, produção homogêneas de madeira foram obtidas usando as funções objetivo que minimiza a oscilação entre a máxima e mínima produção anual (Estratégia 3) e o desvio da produção entre anos consecutivos (Estratégia 4), quando comparadas com modelos tradicionais (Estratégia 1 e 2). A Estratégia 4 foi a mais apropriada, pois proporcionou retorno financeiro e volume de sortimentos satisfatório a longo prazo, reduzindo possíveis problemas operacionais que podem ocorrer. Palavras-chave: AbstractThe objectives of this research were: 1) evaluating two optimization strategies for minimizing the difference between maximum and minimum annual production and minimizing the production deviation between consecutive years; 2) comparing their performance with two traditional models to regulate the flow of timber volume. The problem given in this study represented a real situation of a forest company located in the state of Santa Catarina, Brazil, where the forest structure had become highly irregular due to predominance of trees with advanced ages. We proposed management alternatives for each stand, and linear programming was used to optimize the forest structure. The strategies achieved the industrial timber demand in all periods of the planning horizon. The models that maximized the production (Strategy 1) and the net present value (Strategy 2) resulted in the highest timber volume production and the highest financial return, respectively. However, we obtained homogeneous timber production by using the objective functions that minimize the maximum and minimum annual production oscillation (Strategy 3) and deviation production between consecutive years (Strategy 4), when we compared to traditional models (Strategy 1 and 2). The Strategy 4 was the most appropriate for providing satisfactory financial return and timber volume in the long-term, reducing possible operational problems that could occur.

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Section: Introductionmentioning

confidence: 99%

Strategies for regulating timber volume in forest stands

Fiorentin¹,

Arce²,

Pelissari³

et al. 2017

Sci. For.

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“…However, errors in the tracing can damage its use. Thus, the repair of this critical factor should allow the maximum financial yield, resulting in more profitable assortments (CAMPOS et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Quality Function Deployment (Qfd) Applied to the Variables That Influence Quality Costs in Mechanized Forest Harvest Operations

Oliveira

Soares

Sampietro

2020

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Globalization and client demands result in the need for investments for the survival of the companies. Forest harvest represents the highest costs and losses of wood production. Quality function deployment (QFD) is recommended to achieve quality by detecting customer needs. Thus, this study aimed to determine the variables that influence quality costs in the mechanized harvest to reach the quality control of forest activity. The research was developed in a company located in the State of Santa Catarina, Brazil. The variables that influence quality costs in four categories (evaluation, prevention, internal and external flaws) were identified. The QFD method was used to translate the needs of internal and external customers (critical success factors) of mechanized harvesting activities into measurable technical characteristics (variables that influence quality costs), determining the weight for each relationship and, consequently, the balance of the categories, besides the correlations of the variables evaluated as strong, medium, weak, and non-existent. Among the 29 variables identified, 18 consisted of evaluation and prevention, representing the relative weights of 37.17% and 26.49%, respectively, and 11 represented internal and external flaws, with values of 26.57% and 9.73%, respectively. The correlation matrix found 334 correlation of the 406 cells: 195 (58%) strong, 86 (26%) medium, and 53 (16%) weak. In conclusion, the company must improve process quality by investing in evaluation and prevention aimed at reducing non-conformities and expansion of revenues.

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“…Therefore, among the many models established in the literature, the fifth-degree polynomial is widely used to estimate the volume of logs based on taper functions. Amidst the researches that used this method we have: Yoshitani Junior et al 2012, Souza et al (2008), Campos et al (2013), Kohler et al (2013), andFigueiredo Filho et al (2015). Moreover, this technique contributes to the study of wood assortments that aim at higher productivity, efficiency, and quality in mechanized forest harvesting activities.…”

Section: Introductionmentioning

confidence: 99%

EVALUATION OF ASSORTMENTS CONSIDERING DIFFERENT STUMP AND PRE-BUCKING DISC HEIGHTS IN MECHANIZED HARVESTING OPERATIONS OF A Pinus taeda L. FOREST

Oliveira

Soares

Sampietro

et al. 2019

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This study aimed to evaluate assortments by adopting distinct stump heights and pre-bucking disc heights in the mechanized harvesting operations of a Pinus taeda L. forest, which is owned by a company located in Campo Belo do Sul (SC). To that end, the simulation of six scenarios was carried out after the forest’s clear-cutting. The scenario 1 includes the company's specifications. Scenario 2 includes the real situation, that is, the measurements made in sample units installed on the field and scenario 3 includes stump heights of 10 cm and pre-bucking disc heights of 5 cm. In the other scenarios, stump and pre-bucking disc heights with values higher than the ones specified by the company were included. Then, using a taper function, we calculated the assortments in tons per hectare (t ha-1) and monetary value per hectare (R$ ha-1), considering the price of wood with bark (R$ t-1) for each assortment. Results show that Scenario 1 presented a larger amount of wood, however, Scenario 3 represented higher revenue due to the higher wood quantity of the value-added assortments. On the other hand, Scenario 6 presented the lowest amount of wood comparing to the others, and Scenario 2 presented the lowest economic return. All things considered, the company performs its activities below what is planned, but with production higher than the other evaluated scenarios. Regarding the economic return, the other scenarios are more feasible than Scenario 2, which shows that the company needs to seek process improvements with the implementation of another scenario that could bring better results.

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Conversão de árvores em multiprodutos da madeira utilizando programação inteira

Cited by 12 publications

References 4 publications

Strategies for regulating timber volume in forest stands

Strategies for regulating timber volume in forest stands

Quality Function Deployment (Qfd) Applied to the Variables That Influence Quality Costs in Mechanized Forest Harvest Operations

EVALUATION OF ASSORTMENTS CONSIDERING DIFFERENT STUMP AND PRE-BUCKING DISC HEIGHTS IN MECHANIZED HARVESTING OPERATIONS OF A Pinus taeda L. FOREST

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