Skip to main content
Log in

Linking strategic and tactical forestry planning decisions

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. R. Cheng and G.W. Milligan, Measuring the influence of individual data points in a cluster analysis, Journal of Classification, to appear.

  2. Ph. Chevalier, A. Jofré and R. Morales, Simultaneous planning of industrial structure and forest plantation management in wood based companies, in: Proc. 6th Symposium on System Analysis in Forest Resources Management Systems for a Global Economy with Global Resources Concerns, eds. J. Sessions and J.D. Brodie, ASILOMAR, California (1994) pp. 44–50.

    Google Scholar 

  3. J. Hartigan, Clustering Algorithms (Wiley, New York, 1975).

    Google Scholar 

  4. T. Hastie and R. Tibshirani, Discriminant analysis by Gaussian mixtures, J. Roy. Statist. Soc. Ser. B.

  5. A.L. Ingber, Simulated annealing: Practice versus theory, Math. Comput. Modelling 18(11) (1993) 29–57.

    Google Scholar 

  6. G. Nemhauser, A. Rinooy Kan and M.J. Todd, Optimization (North-Holland, Amsterdam, 1993).

  7. D. Rogers, R. Plante, R. Wong and J. Evans, Aggregation and disaggregation techniques and methodology in optimization, Operations Research 39(4) 553–580.

  8. A. Weintraub and A. Cholaky, A hierarchical approach to forest planning, Forest Science 37(2) 439–460.

  9. A. Weintraub, Sáez Guillermo and M. Yadlin, Aggregation procedures in forest management planning using cluster analysis, Forest Science 43(2) 274–285.

  10. P.H. Zipkin, Bounds on the effect of aggregating variables in linear programs, Operations Research 28 (1980) 403–418.

    Google Scholar 

  11. P.H. Zipkin, Bounds for row aggregation in linear programming, Operations Research 28 (1980) 903–918.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cea, C., Jofré, A. Linking strategic and tactical forestry planning decisions. Annals of Operations Research 95, 131–158 (2000). https://doi.org/10.1023/A:1018978813833

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1018978813833

Keywords

Navigation