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Cost allocation in collaborative forest transportation

Mikael Frisk (), Maud Göthe-Lundgren (), Kurt Jörnsten and Mikael Rönnqvist ()
Additional contact information
Mikael Frisk: Skogforsk, Uppsala, Postal: Skogforsk , Uppsala Science Park, S-751 83 UPPSALA, Sweden
Maud Göthe-Lundgren: Department of Mathematics, Linköpings universitet, Postal: Department of Mathematics, Linköpings universitet, SE-581 83 Linköping, Sweden
Mikael Rönnqvist: Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration, Postal: NHH , Department of Finance and Management Science, Helleveien 30, N-5045 Bergen, Norway

No 2006/15, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science

Abstract: Transportation planning is an important part of the wood flow chain in forestry. There are often several forest companies operating in the same region and co-ordination between two or more companies is rare. However, there is an increasing interest in collaborative planning as the potential savings are large, often in the range 5-15%. A key question is how savings should be distributed among the participants. In this paper we investigate a number of possibilities based on economic models including Shapley value, the nucleolus, separable and non-separable costs, shadow prices and volume weights. We also propose a new allocation method based on finding as equal relative profits as possible among the participants. A case study including eight forest companies is described and analyzed.

Keywords: Transportation; OR in natural resources; Supply chain management; Economics; Group decisions and negotiations; Linear programming (search for similar items in EconPapers)
JEL-codes: L91 Q21 Q23 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2006-11-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Journal Article: Cost allocation in collaborative forest transportation (2010) Downloads
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