Harvesting is a key component of the industrial forestry supply chain. One of the key decisions made during harvesting is how to cut the trees into logs. A number of mathematical models have been developed to optimally solve this problem. Increasingly around the world, harvesting of timber is becoming mechanized. This mechanization provides a platform for the use of state-ofthe- art measurement and monitoring technologies and the application of increasingly powerful on-board computers. These technologies are now allowing these log merchandizing models to increasingly be implemented in the forest during harvesting.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andersson, B. and Dyson, P. 2002. Evaluating the measuring accuracy of harvesters and processors. Forest Engineering Research Institute of Canada, Advantage 3(4), 19.
Anon. 2003. The Standard of Forest Data (StanForD). Running updates from Skogforsk at www.skogforsk.se.
Berglund, H. and Sondell, J. 1985. Computerized bucking - one way to increase value of the wood in mechanized logging systems. Skogsarbeten Report. NR6. 51 p.
Briggs, D.G. 1980. A dynamic programming approach to optimizing stem conversion. Ph.D. Thesis, University of Washington, 409 p.
Brown, N.C. 1950. Logging: The Principles and Methods of Harvesting Timber in the United States and Canada. John Wiley & Sons, New York, 418 p.
Bryant, B.C. 1913. Logging. Stanhope Press, Boston, MA, 590 p.
Clemmons, J.W. 1966. New techniques in individual tree description for the basis of economic decision making. Proceedings Society of American Foresters, Annual Meeting. Seattle, Washington: 197–200.
Conway, S. 1979. Logging Practices: Principles of Timber Harvesting Systems. Miller Freeman Publications, USA, 416 p.
Coyner, B. 2004. Moving from cut-to-length to cut-to-diameter. Journal of Logging & Sawmills: Timber West. www.forestnet.com/timberwest/archives/May_Jun_04. [Accessed on 10/04/2004]
Drushka, K. and Konttinen, H. 1997. Tracks in the Forest. Timberjack Group Oy, Helsinki, Finland, 254 p.
Duffner, W.W. 1980. Decision making from market to stump. Proceedings of Weyerhaeuser Science Symposium. Tacoma, Washington, USA, 81–95.
Eng, G.; Daellenbach, H. and Whyte, A.G.D. 1986. Bucking tree-length stems optimally. Canadian Journal of Forest Research 16:1030–1035.
Geerts, J.M.P. and Twaddle, A.A. 1984. A method to assess log value loss caused by cross-cutting practice on the skidsite. New Zealand Journal of Forestry Science 29(2):173–184.
Gellerstedt, S. 2002. Operation of the single-grip harvester: motor-sensory and cognitive work. International Journal of Forest Engineering 13(2):35–47.
Kivinen, V. and Uusitalo, J. 2002. Applying fuzzy logic to tree bucking control. Forest Science 48(4):673–684.
Laroze, A.J. 1993. Development and Comparison of Stand-Level Bucking Optimization Methods. PhD Thesis. Oregon State University, 95 p.
Laroze, A.J. and Greber, B. 1997. Using tabu search to generate stand-level, rule-based bucking patterns. Forest Science 43(2):157–169.
Lembersky, M.R. and Chi, U.H. 1986. Weyerhaeuser decision simulator improves timber profits. Interface 16(1):6–15.
Makkonen, I. 2001. Factors affecting measurement accuracy on processing heads. Forest Engineering Research Institute of Canada Advantage 2(24):10.
Marshall, H.D. and Murphy, G.E. 2004. Economic evaluation of implementing improved stem scanning systems on mechanical harvesters/processors. New Zealand Journal of Forestry Science 34(2):158–174.
Mendoza, G. and Bare, B. 1986. A two-stage decision model for bucking and allocation. Forest Products Journal 36(10):70–74.
Möller, J.J., Wilhelmsson, L., Arlinger, J., Moberg, L. and Sondell, J. 2003. Automatic characterization of wood properties by harvesters to improve customer orientated bucking and processing. Skogforsk. Arbetsrapport. Nr 537 12 May 2003: 64–76.
Murphy, G.E. 2003. Procedures for scanning radiata pine stems dimensions and quality on mechanized processors. International Journal of Forest Engineering 14(2):11–21.
Murphy, G.E. and Twaddle, A.A. 1986. Techniques for the assessment and control of log value recovery in the New Zealand forest harvesting industry. Improving Productivity through Forest Engineering, Proceedings of the Council on Forest Engineering, September, Mobile, AL., USA, 43–47.
Murphy, G.E., Marshall, H.D. and Bolding, M.C. 2004. Adaptive control of bucking on harvesters to meet order book constraints. Forest Products Journal 54(12):114–121
Murphy, G.E., Wilson, I., Barr, K., 2006. Developing methods for pre-harvest inventories which use the harvester as the sampling tool. Australian Journal of Forestry. 69(1):9–15.
Nasberg, M. 1985. Mathematical Programming Model for Optimal Log Bucking. Dissertation No. 132. Linköping University, Sweden, 200 p.
Nordlund S. 1996. Logging technology and methods: trends in large-scale forestry. Results No. 2. P. 4 Skogforsk Uppsala, Sweden.
Pickens, J.B., Lee, A. and Lyon, G.W. 1992. Optimal bucking of hardwoods. Northern Journal of Applied Forestry 9(4):149–152.
Pnevmaticos, S.M. and Mann, S.H. 1972. Dynamic programming in tree bucking. Forest Products Journal 22(2):26–30.
Sessions, J. 1988. Making better tree-bucking decisions in the woods. Journal of Forestry 86(10):43–45.
Sessions, J., Olsen, E.D. and Garland, J.J. 1989. Tree bucking for optimal stand value with log allocation constraints. Forest Science 35(1):271–276.
Smith G.W. and Harrell, C. 1961. Linear programming in log production. Forest Products Journal 11(1):8–11.
Sondell, J.1987: Computerised bucking: techniques and systems. Skogsarbeten Results, Forskningsstiftelsen No. 3. 4 p.
Sondell, J., Möller, J.J. and Arlinder, J. 2002. Third-generation merchandising computers. Skogforsk Results No 2. 6 p.
Uusitalo, J. and Kivinen, V.P. 2001. Factors affecting the output distribution of logs with modern tree bucking optimizing. In: K. Sjöström and L. Rask (eds.) Proceedings from 2nd World Symposium on Logistics in Forest Sector. Timber Logistics 2001 “Supply Chain Management for Paper and Timber Industries”. 133–141.
Uusitalo, J., Kokko, S. and Vivinen, V.P. 2003. Comparison of various tree-bucking principles for Scots pine. Proceedings of the Wood for Africa Forest Engineering Conference. July 2002 Pietermanitzbury, South Africa. Forest Engineering Department, Corvallis, Oregon. 141–148.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Marshall, H. (2007). Log Merchandizing Model Used in Mechanical Harvesting. In: Weintraub, A., Romero, C., Bjørndal, T., Epstein, R., Miranda, J. (eds) Handbook Of Operations Research In Natural Resources. International Series In Operations Research amp; Mana, vol 99. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-71815-6_19
Download citation
DOI: https://doi.org/10.1007/978-0-387-71815-6_19
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-71814-9
Online ISBN: 978-0-387-71815-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)