6533b861fe1ef96bd12c4f14

RESEARCH PRODUCT

Simultaneous optimization of harvest schedule and measurement strategy

Annika KangasKaisa MiettinenMarkus Hartikainen

subject

ta113040101 forestryForest inventory010504 meteorology & atmospheric sciencesOperations researchpäätöksentekota111Scheduling (production processes)ForestryTime horizon04 agricultural and veterinary sciencesstochastic optimization15. Life on landta411201 natural sciencesInformation economicsinformation economics0401 agriculture forestry and fisheriesProfitability indexStochastic optimizationforest inventorySimultaneous optimizationconstraints0105 earth and related environmental sciencesMathematics

description

In many recent studies, the value of forest inventory information in the harvest scheduling has been examined. Usually only the profitability of measuring simultaneously all the stands in the area is examined. Yet, it may be more profitable to concentrate the measurement efforts to some subset of them. In this paper, the authors demonstrate that stochastic optimization can be used for defining the optimal measurement strategy simultaneously with the harvest decisions. The results show that without end-inventory constraints, it was most profitable to measure the stands that were just below the medium age. Measuring the oldest stands was not profitable at all. It turned out to be profitable to postpone the measurements until just before the potential harvests. Introducing a strict end-inventory constraint increased the number of stands that could be profitably measured. In this case, also the length of the planning horizon had a clear effect on what stands were profitable to measure. With a 15-year planning horizon, measuring the oldest stands was profitable while with longer planning horizons it was not. The interest rate did not affect the number of stands measured much, but it had a clear effect on the timing of the measurements. peerReviewed

https://doi.org/10.1080/02827581.2013.823237