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Data-Driven Optimization of Forestry and Wood Procurement toward Carbon-Neutral Logistics of Forest Industry

Faculty of Science and Forestry, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland
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Academic Editor: Raffaele Cavalli
Forests 2022, 13(5), 759; https://doi.org/10.3390/f13050759
Received: 23 April 2022 / Revised: 11 May 2022 / Accepted: 12 May 2022 / Published: 14 May 2022
Investments toward a carbon-neutral forest industry will change forestry and wood procurement in Northern Finland. The changing market situation requires data-driven DSSs for the strategic management of logistics. Using this software, logistics were described by a continuing wood flow model and optimized by a dynamic method. Three logistics scenarios described wood flows in the present and in the future. The optimization minimized the economic and environmental costs, which decreased by 4.9%. However, synchronized multimodal transportation costs increased by 23.3%. Therefore, maximum logistics efficiency necessitates increases in railway transport capacity. The change would also decrease CO2 emission costs. Under scenario-specific circumstances, logistics operations could be focused on four profitable regions, increasing market shares at municipalities. To guarantee environmental sustainability of these municipalities, optimization of timber markets between forest owners and forest industry must be developed further by driving data from the EU’s emission allowance price compensation mechanism to the optimization process. View Full-Text
Keywords: CO2; carbon neutrality; supply chain management; wood procurement CO2; carbon neutrality; supply chain management; wood procurement
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MDPI and ACS Style

Palander, T.; Vesa, L. Data-Driven Optimization of Forestry and Wood Procurement toward Carbon-Neutral Logistics of Forest Industry. Forests 2022, 13, 759. https://doi.org/10.3390/f13050759

AMA Style

Palander T, Vesa L. Data-Driven Optimization of Forestry and Wood Procurement toward Carbon-Neutral Logistics of Forest Industry. Forests. 2022; 13(5):759. https://doi.org/10.3390/f13050759

Chicago/Turabian Style

Palander, Teijo, and Lauri Vesa. 2022. "Data-Driven Optimization of Forestry and Wood Procurement toward Carbon-Neutral Logistics of Forest Industry" Forests 13, no. 5: 759. https://doi.org/10.3390/f13050759

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