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A Forest-Level Bucking Optimization System that Considers Customer's Demand and Transportation Costs

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This article describes a system that deals with a forest-level bucking optimization problem considering customer's demand and transportation costs. The system was used to evaluate three scenarios: an observed medium-term forest harvesting scenario, with 32 stands harvested during one month, a simulated demand-oriented scenario and a simulated supply-oriented one. Data was obtained from Pinus taeda L. plantations located in southern Brazil. Various forest multiproducts with their respective local market prices were considered for modeling. The system has two main modules: the Cutting Pattern Generation (CPG) and the Global Bucking Optimization (GBO). In both modules, different algorithms are activated depending on the analyzed scenario (demand-oriented or supply-oriented). Additional biometric modules are also integrated into the system for height, taper, and volume calculations. In the demand-oriented scenario, the CPG exhaustively generates all possible cutting patterns for each diametric class in each stand, and the GBO, formulated as a Mixed Integer Linear Programming problem, optimizes the net revenue at forest level subject to constraints that consider bounds for timber volumes and maximum number of different multiproducts obtained in each stand. In the supply-oriented scenario, the CPG generates the Optimum Cutting Pattern through a heuristic algorithm that identifies the potential cuts to evaluate along the stem and a Dynamic Programming-based algorithm to determine the optimum combination of products that maximizes the stem profit, and the GBO calculates the net profit, summing up the profits per stem for each stand and sum of the stands. Illustrative examples and numerical results are given. FOR. SCI. 48(3):492–503.
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Keywords: Cutting patterns; Mathematical Programming; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; heuristics; multiproducts; natural resource management; natural resources; simulation

Document Type: Miscellaneous

Affiliations: 1: Forest Management and Operations Research Associate Professor Federal University of Paraná (UFPR), Av. Pref. Lothário Meissner, 3400, Curitiba, PR, BRAZIL, CEP: 80.210-170, Phone: +55 41 3 60 42 13; Fax: +55 41 3 60 42 31 [email protected] 2: Mathematics and Operations Research Professor UFPR, Cx.P. 19002, Curitiba, PR, BRAZIL, CEP: 81.531-990, Phone: +55 41 3 61 34 03 [email protected] 3: Forest Inventory and Forest Management Associate Professor UFPR, Av. Pref. Lothário Meissner, 3400, Curitiba, PR, BRAZIL, CEP: 80.210-170, Phone: +55 41 3 60 42 90 [email protected] 4: Forest Inventory and Forest Management Associate Professor UFPR, Av. Pref. Lothário Meissner, 3400, Curitiba, PR, BRAZIL, CEP: 80.210-170, Phone: +55 41 3 60 42 05 [email protected]

Publication date: 2002-08-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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