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Supply chain planning of harvest operations and transportation after the storm Gudrun

Author

Listed:
  • Broman, Håkan

    (Sveaskog AB, Sweden)

  • Frisk, Mikael

    (Skogforsk, Uppsala)

  • Rönnqvist, Mikael

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

Abstract

The storm Gudrun hit southern Sweden in January 2005 and approximately 70 million cubic meters of forest was wind felled. The existing logistic planning at forest companies in the damaged area had to be changed over night. There was a direct shortage of both harvest and transportation capacities. Key questions that arised were which terminals to use, where to harvest, where to store, which transportation modes (truck, train, ship) to use. In this paper we describe how the forest company Sveaskog made use of Operations Research (OR) as an important decision support in their supply chain planning in the aftermath of the storm.

Suggested Citation

  • Broman, Håkan & Frisk, Mikael & Rönnqvist, Mikael, 2006. "Supply chain planning of harvest operations and transportation after the storm Gudrun," Discussion Papers 2006/16, Norwegian School of Economics, Department of Business and Management Science.
  • Handle: RePEc:hhs:nhhfms:2006_016
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    File URL: http://hdl.handle.net/11250/163852
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    More about this item

    Keywords

    Operations Research in Practice; Forestry; Mathematical models; Linear programming; Transportation; Logistics Planning.;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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