A MILP Decision Support Approach for the Optimal Forest Planning Management
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36121-0_61
Reference10 articles.
1. Campanella, S., Corsano, G., Montagna, J.M.: A modeling framework for the optimal forest supply chain design considering residues reuse. Sustain. Prod. Consum. 16, 13–24 (2018)
2. Cantegril, P., Paradis, G., LeBel, L., Raulier, F.: Bioenergy production to improve value-creation potential of strategic forest management plans in mixed-wood forests of Eastern Canada. Appl. Energy. 247, 171–181 (2019)
3. Bouchard, M., D’Amours, S., Rönnqvist, M., et al.: Integrated optimization of strategic and tactical planning decisions in forestry. Eur. J. Oper. Res. 25, 1132–1143 (2017)
4. Troncoso, J., D’Amours, S., Flisberg, P., et al.: A mixed integer programming model to evaluate integrating strategies in the forest value chain — a case study in the Chilean forest industry. Can. J. For. Res. 45, 937–949 (2011)
5. Alonso-Ayuso, A., Escudero, L.F., Guignard, M., Weintraub, A.: On dealing with strategic and tactical decision levels in forestry planning under uncertainty. Comput. Oper. Res. 115, 104836 (2020)
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