Backhauling in forest transportation - models, methods and practical usage

Dick Carlsson and Mikael Rönnqvist ()
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Dick Carlsson: Södra Cell International AB, Postal: Södra Cell International AB, S-351 89 Växjö, 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 2006/5, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science

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.

Keywords: Transportation; Modelling; Decision Support System; Linear programming; Optimization; Forestry (search for similar items in EconPapers)
JEL-codes: C52 C61 Q23 R40 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2006-04-27
New Economics Papers: this item is included in nep-env
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Published in Canadian Journal of Forest Research, 2007, pages 2612-2623.

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