DocumentCode :
2516549
Title :
Optimization model in timber harvest planning based on an incremental solution approach
Author :
Abdullah, Munaisyah ; Abdullah, Salwani ; Hamdan, Abdul Razak ; Ismail, Roslan
Author_Institution :
Fac. of Inf. Sci. & Technol., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear :
2009
fDate :
27-28 Oct. 2009
Firstpage :
60
Lastpage :
64
Abstract :
Timber harvest planning deals with selecting a forest area to harvest in a particular time period take into consideration both economic and environmental issues. The problem has been modelled using unit restriction approach and area restriction approach. An optimal or a feasible harvest schedules subject to adjacency constraints is generated using exact methods or meta-heuristic optimization techniques respectively. The adjacency constraints are used to prevent a large opening size in a forest area. However, at the same it also affects the timber productivity by limiting the size of an available area to harvest. This paper proposes a timber harvest planning model based on selective cutting and generates an optimal harvest schedule subject to harvest volume restriction. A priority and deviation optimization based technique is proposed to solve the problem in stages.
Keywords :
environmental economics; environmental management; forestry; optimisation; productivity; scheduling; timber; adjacency constraint; area restriction approach; deviation optimization; economic issue; environmental issue; forest area selection; incremental solution approach; meta-heuristics; optimal-feasible harvest schedule; priority optimization; selective cutting; timber harvest planning; timber productivity; unit restriction approach; Constraint optimization; Data mining; Decision making; Environmental economics; Information science; Information technology; Optimization methods; Process planning; Productivity; Technology planning; Timber harvest planning; area restriction model; constraint; optimization; selective cutting; unit restriction model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining and Optimization, 2009. DMO '09. 2nd Conference on
Conference_Location :
Kajand
Print_ISBN :
978-1-4244-4944-6
Type :
conf
DOI :
10.1109/DMO.2009.5341908
Filename :
5341908
Link To Document :
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