IDEAS home Printed from https://ideas.repec.org/p/hhs/nhhfms/2006_005.html
   My bibliography  Save this paper

Backhauling in forest transportation - models, methods and practical usage

Author

Listed:
  • Carlsson, Dick

    (Södra Cell International AB)

  • Rönnqvist, Mikael

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

Abstract

Transportation planning in forestry is divided into strategic, tactical and operational depending on the length of the planning horizon. We consider a tactical problem of finding efficient backhauling routes. Given a set of supply and demand points the backhauling problem is to identify a set of efficient routes which is a combination of direct tours between supply and demand points such that the unloaded distance is minimized. Given these routes we formulate a linear programming problem where the solution is the actual flows in the routes. The problem normally has a time horizon ranging from one to five weeks. However, in some cases it can be included in strategic planning for more than one year and as a basis for daily operative route planning. The size of the problem increases rapidly with the number of supplies and demands and we describe a column generation approach for its solution. Models and methods have been used with success in a number of case studies and in decision support systems. We describe the model and solution method and report on case studies and systems where the approach has been used.

Suggested Citation

  • Carlsson, Dick & Rönnqvist, Mikael, 2006. "Backhauling in forest transportation - models, methods and practical usage," Discussion Papers 2006/5, Norwegian School of Economics, Department of Business and Management Science.
  • Handle: RePEc:hhs:nhhfms:2006_005
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11250/163608
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.
    2. Özceylan, Eren & Paksoy, Turan & Bektaş, Tolga, 2014. "Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 142-164.
    3. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
    4. Niknejad, A. & Petrovic, D., 2014. "Optimisation of integrated reverse logistics networks with different product recovery routes," European Journal of Operational Research, Elsevier, vol. 238(1), pages 143-154.
    5. Metin Türkay & Öztürk Saraçoğlu & Mehmet Can Arslan, 2016. "Sustainability in Supply Chain Management: Aggregate Planning from Sustainability Perspective," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-18, January.
    6. Timo Hilger & Florian Sahling & Horst Tempelmeier, 2016. "Capacitated dynamic production and remanufacturing planning under demand and return uncertainty," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 849-876, October.
    7. Teunter, Ruud H. & Vlachos, Dimitrios, 2002. "On the necessity of a disposal option for returned items that can be remanufactured," International Journal of Production Economics, Elsevier, vol. 75(3), pages 257-266, February.
    8. Inderfurth, Karl, 2004. "Optimal policies in hybrid manufacturing/remanufacturing systems with product substitution," International Journal of Production Economics, Elsevier, vol. 90(3), pages 325-343, August.
    9. De Giovanni, Pietro & Zaccour, Georges, 2014. "A two-period game of a closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 232(1), pages 22-40.
    10. de Brito, Marisa P. & Dekker, Rommert, 2003. "Modelling product returns in inventory control--exploring the validity of general assumptions," International Journal of Production Economics, Elsevier, vol. 81(1), pages 225-241, January.
    11. Gregory A. DeCroix & Jing-Sheng Song & Paul H. Zipkin, 2009. "Managing an Assemble-to-Order System with Returns," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 144-159, October.
    12. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    13. Roland Geyer & Luk N. Van Wassenhove & Atalay Atasu, 2007. "The Economics of Remanufacturing Under Limited Component Durability and Finite Product Life Cycles," Management Science, INFORMS, vol. 53(1), pages 88-100, January.
    14. Shenle Pan & Chao Chen & Ray Y. Zhong, 2015. "A crowdsourcing solution to collect e-commerce reverse flows in metropolitan areas," Post-Print hal-01148227, HAL.
    15. Deishin Lee, 2012. "Turning Waste into By-Product," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 115-127, January.
    16. Long He & Ying Rong & Zuo‐Jun Max Shen, 2020. "Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 9-23, January.
    17. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    18. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    19. Konstantaras, I. & Papachristos, S., 2007. "Optimal policy and holding cost stability regions in a periodic review inventory system with manufacturing and remanufacturing options," European Journal of Operational Research, Elsevier, vol. 178(2), pages 433-448, April.
    20. Feng, Yan & Viswanathan, S., 2014. "Heuristics with guaranteed performance bounds for a manufacturing system with product recovery," European Journal of Operational Research, Elsevier, vol. 232(2), pages 322-329.

    More about this item

    Keywords

    Transportation; Modelling; Decision Support System; Linear programming; Optimization; Forestry;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:nhhfms:2006_005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stein Fossen (email available below). General contact details of provider: https://edirc.repec.org/data/dfnhhno.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.