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Harvest Operational Models in Forestry

  • Rafael Epstein
  • Jenny Karlsson
  • Mikael Rönnqvist
  • Andres Weintraub
Part of the International Series In Operations Research amp; Mana book series (ISOR, volume 99)

Harvest operations have provided many important operations research (OR) applications. The harvesting process incorporates decisions on areas to harvest, how to buck (or cross cut) trees to obtain demanded products by length and diameter, how to locate harvesting machinery, how to build and maintain roads to haul away logs, and how to distribute and stock logs. We discuss how OR has impacted successfully on these decision processes.

Keywords

Supply Chain Tabu Search Planning Horizon Column Generation Forest Road 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Andalaft, N., Andalaft, P., Guignard, M., Magendzo, A., Wainer, A. and Weintraub, A. 2003. A problem of forest harvesting and road building solved through model strengthening and Lagrangean relaxation. Operations Research 51(4), 613–628.CrossRefGoogle Scholar
  2. Briggs, D.G., 1989. Tree value system: Description and assumptions, USDA Forest Service, General Technical Reprot PNW-239, Portland, Oregon.Google Scholar
  3. Bredström, D., Carlsson, D., Lundgren, J.T., Mason, A. and Rönnqvist, M. 2004. Supply chain optimization in the pulp mill industry - IP models, column generation and novel constraint branches, European Journal of Operational Research 156, 2–22.CrossRefGoogle Scholar
  4. Burger, D. and Jamnick, M.S. 1991. Analysis of wood procurement strategies: Supplying multiple mills from multiple sources. Proceedings of 1991 Symposium on System Analysis in Forest Resources, Charleston, South Carolina, 3–6 March 1991, USDA Forest Service, General Technical Report PNW-239, Portland, Oregon.Google Scholar
  5. Cossens, P. 1992. Planning and control of short-term log allocation in New Zealand, Integrated decision-making in planning and control of forest operations. Proceedings of IUFRO Conference, 27–31 January 1992. Christuchurch, New Zealand, New Zealand School oof Forestry University of Canterbury, Christchur, New Zealand, 46–56.Google Scholar
  6. Carlsson, D. and Rönnqvist, M. 2005, Supply chain management in forestry - case studies at Södra Cell AB, European Journal of Operational Research 163, 589–616.CrossRefGoogle Scholar
  7. Cea, C. and Jofre, A. 2000. Linking strategic and tactical forestry planning decisions. Annals of Operations Research 95(1–4), 131–158.CrossRefGoogle Scholar
  8. Diaz, A., Ferland, J., Ribeiro, C., Vera, J. and Weintraub, A. 2005. A tabu search approach for solving a difficult forest harvesting machine location problem. European Journal of Operational Research, Available online 20 December 2005.Google Scholar
  9. Eng, G., Daellenbranch, H.G. and Whyte, A.G.D. 1986. Bucking tree-length stems optimally. Canadian Journal of Forest Research 16, 1030–1035.CrossRefGoogle Scholar
  10. Epstein, R., Nieto, E., Weintraub, A., Chevalier, P. and Gabarró, J. 1999, A System for Short Term Harvesting. European Journal of Operations Research 119, 427–439.CrossRefGoogle Scholar
  11. Epstein, R., Sapunar, P., Nieto, J., Sessions, B., Sessions, J., Bustamante, F., Musante, H. and Weintraub, A., 2006. A Combinatorial Heuristic Approach for Solving Real Size Machinery Location and Road Design Problems in Forestry Planning. Operations Research. 54(6): 1017–1027.CrossRefGoogle Scholar
  12. Frisk, M., Karlsson, J. and Rönnqvist, M. 2006, RoadOpt - a decision support system for road upgrading in forestry. To appear in Scandinavian Journal of Forest Research. 21(7): 5–15.Google Scholar
  13. Garcia, O. 1990. Linear programming and related approaches in forest planning. New Zealand Journal of Forest Science 20(31), 307–331.Google Scholar
  14. Guignard, M., Ryu, C. and Spielberg, K. 1998. Model tightening for integrated timber harvest and transportion planning. European Journal of Operations Research 111, 448–460.CrossRefGoogle Scholar
  15. Gunn, E.A. and Richards, E. 1997. Optimizing stand level forest harvesting using a tradeoff objective function. In: Freid, J., Vasievich, J.M., Leefers, L. (eds.). Proceeding of the Seventh Symposium On Systems Analysis in Forest Resources, 28–31 May 1997, Bellaire, Michigan.Google Scholar
  16. Gunnarsson, H., Lundgren, J.T. and Rönnqvist, M. 2004, Supply chain modelling of forest fuel, European Journal of Operational Research 158, 101–123.CrossRefGoogle Scholar
  17. Henningsson, M., Karlsson, J. and Rönnqvist, M. 2007. Optimization for forest road upgrade planning, To appear in Journal of Mathematical Models and Algorithms. 6(1): 3–23.CrossRefGoogle Scholar
  18. Jarmer, C. and Session, J. 1992. Logger PC-for improved logging planning. In: Schiess, P. Sessions, J. (eds). Proceeding of the Planning and Implementing Future Forest Operations, International Mountain Logging and 8th Pacific Northwest Skyline Symposium, 14–16 December 1992. Bellevue, Washington, USDA, Published by University of Washington, Forestry Continuing Education Department, 241–247.Google Scholar
  19. Karlsson, J., Rönnqvist, M. and Bergström, J. 2004. An optimization model for annual harvest planning, Canadian Journal of Forest Research 34(8), 1747–1754.CrossRefGoogle Scholar
  20. Karlsson, J., Rönnqvist, M. and Bergström, J. 2003. Short-term harvest planning including scheduling of harvest crews, International Transactions of Operations Research 10, 413–431.CrossRefGoogle Scholar
  21. Kirby, M.W., Hager, W.A., Wong, P. 1986. Simultaneous planning of wildland management and transportation alterations. TIMS Studies in the Management Sciences 21, 371–387, Elsevier Science Publisher B. V. (North Holland).Google Scholar
  22. Laroze, A. and Greber, B.J. 1997. Using Tabu search to generate stand-level, rule-based bucking patterns. Forest Science 43(2), 157–169.Google Scholar
  23. Mc Guigan, B.N. 1984. A log resource allocation model to assit the forest industry manganer in process selection and location, wood allocation and transportation, and production planning. APPITTA 37(4), 289–296.Google Scholar
  24. Mendoza, G.A. and Bare, B.B. 1986. A two-stage decision model for bucking and allocation. Forest Products Journal 36(10), 70–74.Google Scholar
  25. Murray, A.T. and Church, R.L. 1995. Measuring the efficacy of adjacency constraint structure in forest planning models. Canadian Journal of Forest Research 25, 1416–1424.CrossRefGoogle Scholar
  26. Newham, R.M. 1991. LOGPLAN II: A model for planning logging and regeneration activities. Petawawa National Forestry Institute, Information Report PI-X-102, Forestry Canada, Chalk River, Ontario, 1–39.Google Scholar
  27. Olsson, L. 2004. Optimization of forest road investments and the roundwood supply chain. Ph.D. Thesis, The Swedish University of Agricultural Sciences, Sweden.Google Scholar
  28. Richards, E.W., Gunn, E.A., 2003. Tabu Search Design for Difficult Forest Management Optimization Problems. Can. J. For. Res. 33: 1126–1133.CrossRefGoogle Scholar
  29. Sessions, J., Olsen, E. and Garland, J. 1989. Tree bucking for optimal stand value with log allocation constraints. Forest Science 35, 271–276.Google Scholar
  30. Twito, R., Reutebuch, S., McGaurghey, R. and Mann, C. 1987. Preliminary Logging Analysis Systems (PLANS), Overview, USDA. Forest Service. General Techincal Report PNW-199, Portland OR.Google Scholar
  31. Vera, J., Weintraub, A., Koening, M., Bravo, G., Guignard, M. and Barahona, F. 2003. A lagrangian relaxation approach for a machinery location problem in forest harvesting. Pesquisa Operacional 23(1), 111–128.CrossRefGoogle Scholar
  32. Weintraub, A. and Epstein, R. 2002. The supply chain in the forest industry: Models and linkages. In: Joseph, G., Pardalos, P.M. and Romeijn, H.E. (eds.) Applied Optimization, Supply Chain Management Models, Applications, and Research Directions, Kluwer Academic Publishers, 343–362.Google Scholar
  33. Weintraub, A. and Navon, D. 1976. A forest management planning model integrating silvicultural and transportaion activities. Management Science, 22(12), 1299–1309.CrossRefGoogle Scholar
  34. Weintraub, A., Jones, G., Magendzo, A. Meacham, M. and Kirby, M. 1994. Heuristic system to solve mixed integer forest planning models. Operations Research 42(6), 1010–1024.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Rafael Epstein
    • 1
  • Jenny Karlsson
    • 2
  • Mikael Rönnqvist
    • 3
  • Andres Weintraub
    • 1
  1. 1.Department of Industrial EngineeringUniversity of ChileChile
  2. 2.Division of OptimizationLinköping UniversitySweden
  3. 3.The Norwegian School of Economics and Business AdministrationNorway

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