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Linking strategic and tactical forestry planning decisions

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  • Christian Cea
  • Alejandro Jofré

Abstract

In this paper a two-level model and optimization algorithms areintroduced to assist forestry companies in simultaneously considering strategicinvestment and tactical planning decisions. A procedure to reduce thediscrepancy produced in the aggregation and disaggregation process used to linkthese two-level decisions is also presented. This procedure is based onboth cluster analysis over economic parameters defined on “the standmacro-units to be harvested” and on the information transmittedbottom-up and top-down between the strategic and tactical models. Wealso show a new approach for solving the tactical mixed integer model. Copyright Kluwer Academic Publishers 2000

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  • Christian Cea & Alejandro Jofré, 2000. "Linking strategic and tactical forestry planning decisions," Annals of Operations Research, Springer, vol. 95(1), pages 131-158, January.
    • Handle: RePEc:spr:annopr:v:95:y:2000:i:1:p:131-158:10.1023/a:1018978813833
    DOI: 10.1023/A:1018978813833
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    Cited by:

    1. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    2. Andersson, Daniel & Eriksson, Ljusk Ola, 2007. "Effects of temporal aggregation in integrated strategic/tactical and strategic forest planning," Forest Policy and Economics, Elsevier, vol. 9(8), pages 965-981, May.
    3. Mikael Rönnqvist & Sophie D’Amours & Andres Weintraub & Alejandro Jofre & Eldon Gunn & Robert Haight & David Martell & Alan Murray & Carlos Romero, 2015. "Operations Research challenges in forestry: 33 open problems," Annals of Operations Research, Springer, vol. 232(1), pages 11-40, September.
    4. Kong, Jiehong & Rönnqvist, Mikael & Frisk, Mikael, 2011. "Modeling an integrated market for sawlogs, pulpwood and forest bioenergy," Discussion Papers 2011/11, Norwegian School of Economics, Department of Business and Management Science.

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