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Supply network planning in the forest supply chain with bucking decisions anticipation

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  • Satyaveer Chauhan
  • J.-M. Frayret
  • Luc LeBel

Abstract

We consider a two-echelon timber supply chain in which the first echelon consists of several stands to be harvested and the second echelon consists of mills to be supplied with logs of different length. This problem aims at minimizing harvesting and transportation costs for one production period, while satisfying demand expressed as a mix of volumes of specific log types. Harvesting cost, which includes felling, bucking and hauling to roadside, depends upon the number of log type to be produced and sorted. Each stand to be harvested is modeled individually with a limited number of trees of various classes of diameter and total length, which affects the productivity factors of the bucking patterns to be used. To take these characteristics into account, we propose heuristics based on columns generation to solve the supply network problem at the forest level with an anticipation of bucking operations at the stand level. Copyright Springer Science+Business Media, LLC 2011

Suggested Citation

  • Satyaveer Chauhan & J.-M. Frayret & Luc LeBel, 2011. "Supply network planning in the forest supply chain with bucking decisions anticipation," Annals of Operations Research, Springer, vol. 190(1), pages 93-115, October.
    • Handle: RePEc:spr:annopr:v:190:y:2011:i:1:p:93-115:10.1007/s10479-009-0621-5
    DOI: 10.1007/s10479-009-0621-5
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    References listed on IDEAS

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    1. Bruce Faaland & David Briggs, 1984. "Log Bucking and Lumber Manufacturing Using Dynamic Programming," Management Science, INFORMS, vol. 30(2), pages 245-257, February.
    2. Epstein, R. & Nieto, E. & Weintraub, A. & Chevalier, P. & Gabarro, J., 1999. "A system for the design of short term harvesting strategy," European Journal of Operational Research, Elsevier, vol. 119(2), pages 427-439, December.
    3. Carlsson, Dick & Ronnqvist, Mikael, 2005. "Supply chain management in forestry--case studies at Sodra Cell AB," European Journal of Operational Research, Elsevier, vol. 163(3), pages 589-616, June.
    4. G. Eng & H. G. Daellenbach, 1985. "Technical Note—Forest Outturn Optimization by Dantzig-Wolfe Decomposition and Dynamic Programming Column Generation," Operations Research, INFORMS, vol. 33(2), pages 459-464, April.
    5. Chauhan, Satyaveer S. & Frayret, Jean-Marc & LeBel, Luc, 2009. "Multi-commodity supply network planning in the forest supply chain," European Journal of Operational Research, Elsevier, vol. 196(2), pages 688-696, July.
    6. Martell, David L. & Gunn, Eldon A. & Weintraub, Andres, 1998. "Forest management challenges for operational researchers," European Journal of Operational Research, Elsevier, vol. 104(1), pages 1-17, January.
    7. Gunnarsson, Helene & Ronnqvist, Mikael & Lundgren, Jan T., 2004. "Supply chain modelling of forest fuel," European Journal of Operational Research, Elsevier, vol. 158(1), pages 103-123, October.
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    Cited by:

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    2. Sanei Bajgiran, Omid & Kazemi Zanjani, Masoumeh & Nourelfath, Mustapha, 2016. "The value of integrated tactical planning optimization in the lumber supply chain," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 22-33.

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