Optimization of Wood Supply: The Forestry Routing Optimization Model

Monti, Cássio Augusto Ussi; Gomide, Lucas Rezende; Oliveira, Rafael José de; França, Luciano Cavalcante de Jesus

doi:10.1590/0001-3765202020200263

Cited by 5 publications

(3 citation statements)

References 45 publications

(28 reference statements)

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“…Hybrid algorithms have also been tested in recent decades, and several gaps are still open in forest science (DONG et al, 2016;FALCÃO et al, 2020). Many published papers deal with single algorithms or exact methods for solving the vehicle routing problem associated with forest transportation (MONTI et al, 2020), and numerous studies have been carried out within various application domains (LI et al, 2010;MALIK et al, 2015;DONG et al, 2016;FERREIRA et al, 2017). Furthermore, the vehicle routing problem derives from the traveling salesman problem, which is one of the most studied optimization problems (ZUNIC et al, 2020).…”

Section: Stochastic Algorithmsmentioning

confidence: 99%

“…Generally, these goals are solved under the vehicular routing problem models, which have been widely studied in recent years (ALVAREZ & MUNARI 2016). These models may provide a reduction in transportation costs and truck fleet size (MONTI et al, 2020). On the other hand, it is consensus that optimization systems support decision-making for better strategies and low risks.…”

Section: Introductionmentioning

confidence: 99%

“…Operational research techniques have been applied to seek better operational procedures and strategic advantages. Surely, due to the large size of Brazil's forest companies, the use of these methods is strongly suggested to avoid risks, and several business cases are dedicated to this theme (WALTERS et al, 2001;MONTI et al, 2020). Epstein et al (2007) suggest the use of optimization models for forest transportation to reduce accident risks, traffic jams, inefficiency, greenhouse gas emissions, and noise pollution.…”

Section: Introductionmentioning

confidence: 99%

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Vehicle Sequencing Strategies in Optimization of Forestry Logistics

Oliveira

MONTI²,

GOMIDE³

et al. 2022

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Timber transportation is a hard task for any forest company. There are several efforts to reduce and control these costs, considering efficient equipment and optimization frameworks. Due to the pattern of combinatorial problems, the deterministic methods have a high computational effort of processing time, which generally makes their use unfeasible. An alternative procedure is applying approximation algorithms, which have efficient searches for finding feasible solutions. The present study evaluated algorithms for solving the forest transport sequencing problem. The Simulated instances were designed to highlight three instances for 10, 20, and 30 stands with a realistic pattern. According to the operational set, four solving strategies were proposed, considering three algorithms (Simulated Annealing, Greedy, and Greedy-Simulated Annealing). The computational code, processing, and analysis of the data were performed using RStudio software. The results show feasible solutions from all tested algorithms, highlighting the hybrid Greedy-Simulated Annealing algorithm. With proven normality and homogeneity of variance, the algorithms were tested with the Tukey test at a level of 5%. The blocks, stand random selection, and multiple flow strategies produced the best results of the tested instances. As a conclusion, the proposed algorithms are efficient for solving the forest transportation problem and may be helpful at the operational planning level.

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Section: Stochastic Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vehicle Sequencing Strategies in Optimization of Forestry Logistics

Oliveira

MONTI²,

GOMIDE³

et al. 2022

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Operational harvest planning under forest road maintenance uncertainty

Gomes

Monti

Silva

et al. 2021

Forest Policy and Economics

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Modelling the forest harvesting tour problem

Viana,

Cancela,

Pradenas

2023

RAIRO-Oper. Res.

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In a globalized market, forest management plans play an important role in the sustainability of forest enterprises. Several optimization processes have therefore been developed to support decision-making in forestry operations. However, important issues remain to be addressed, such as planning the allocation of harvesting areas and scheduling the harvesting teams that are contracted for these purposes. Harvesting schedules include different time scales and natural constraints, so that finding optimal or even good quality ones constitutes a highly complex combinatorial optimization problem. Efficient planning of harvesting operations can significantly reduce the costs associated with logistics and improve the economic performance of companies in the sector. In Uruguay, almost 75\% of total forest harvesting operations for pulp production are carried out by contractor companies, so they are an important player in the supply chain. This study aims to optimize the allocation and routing of the harvesting equipment of forest contractors, which must be located at the sites to be harvested during the year. Numerical experiments over a case study based on realistic data have shown that realistic-sized instances can be resolved by standard mathematical programming software in a reasonable time. The mathematical programming model can also be useful to evaluate potential gains in joint planning by several contractors with respect to the costs incurred by separate planning; as illustrated also with numerical examples over the same case study. This model can be used to support annual forest harvest scheduling and equipment allocation for corporate contractors, leading to better quality plans and improvement opportunities.

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Optimization of Wood Supply: The Forestry Routing Optimization Model

Cited by 5 publications

References 45 publications

Vehicle Sequencing Strategies in Optimization of Forestry Logistics

Vehicle Sequencing Strategies in Optimization of Forestry Logistics

Operational harvest planning under forest road maintenance uncertainty

Modelling the forest harvesting tour problem

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