Abstract
Linear programming is the most widely utilised optimisation method in forestry. Linear programming can be used to deal with many sustainability issues, such as the requirement of even flow of timber over time. It can also be used to deal with multiple goals, by using a constraint approach and Pareto front or by using a goal programming approach. Integer or mixed integer programming can also be used to deal with many spatial goals and constraints, like adjacency and green-up constraints or those of clustering timber harvests. In this chapter, we present different formulations of linear programming and their effect on the resulting harvest schedule with numerical examples. We also present different formulations of goal programming and the interpretation of the results in different cases. Furthermore, we present some more complicated planning cases involving hierarchical and spatial planning.
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Kangas, A., Kurttila, M., Hujala, T., Eyvindson, K., Kangas, J. (2015). Optimisation. In: Decision Support for Forest Management. Managing Forest Ecosystems, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-319-23522-6_6
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DOI: https://doi.org/10.1007/978-3-319-23522-6_6
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