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RoadOpt: a decision support system for road upgrading in forestry
Linköping University, Department of Mathematics, Optimization . Linköping University, The Institute of Technology.
Department of Finance and Management Science, Norwegian School of Economics and Business Administration, Bergen, Norway and The Forestry Research Institute of Sweden (Skogforsk), Uppsala, Sweden.
The Forestry Research Institute of Sweden (Skogforsk), Uppsala, Sweden.
2006 (English)In: Scandinavian Journal of Forest Research, ISSN 0282-7581, Vol. 21, no S7. 7, 5-15 p.Article in journal (Refereed) Published
Abstract [en]

Road blocking due to thawing or heavy rains annually contributes to a considerable loss of profit in Swedish forestry. Companies have to build large stocks of sawlogs and pulplogs to secure a continuous supply during periods where the accessibility of the road network is uncertain. This storage leads to quality deterioration, which means loss in profit. One approach to reduce the losses due to blocked roads is to upgrade the road network to a standard that guarantees accessibility throughout the year. This article describes a decision support system called RoadOpt for the planning of forest road upgrading. The planning horizon is about one decade. The system uses a Geographical Information System (GIS)-based map user interface to present and analyse data and results. Two important modules are the Swedish road database, which provides detailed information about the road network, and an optimization module consisting of a mixed integer linear programming model. A case study from a major Swedish company is presented.

Place, publisher, year, edition, pages
2006. Vol. 21, no S7. 7, 5-15 p.
Keyword [en]
Decision support system, Forestry, GIS, Mixed integer, Operations research, Road upgrading, Tactical planning, Wood flow
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-50303DOI: 10.1080/14004080500487102OAI: diva2:271199
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2012-12-10
In thesis
1. Optimization models and methods for harvest planning and forest road upgrading
Open this publication in new window or tab >>Optimization models and methods for harvest planning and forest road upgrading
2005 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The purpose of this thesis is to contribute to the development and the use of optimization models and methods to support efficient decision making in Swedish forestry. The main problem areas concerned are forest road upgrade planning and operational harvest planning. Today much of the planning is done manually by experienced managers. Forest management has a natural hierarchical structure based on the wide range of planning periods and organisational structure. The hierarchical harvest planning and the subdivision into strategic, tactical and operational levels are described from an Operations Research perspective. The description of the hierarchical structure differs between countries and there is a focus on the Swedish situation.

Road upgrading is becoming an increasingly important planning problem to secure a continuous supply of wood. In Sweden, during the periods of thawing and periods of heavy rain there is an uncertain accessibility to parts of the road network due to unfirm ground. The thesis addresses the optimization problem to minimize the combined road upgrade and transportation costs while meeting requirements on road standard such that accessibility to harvest areas is secured during all weather conditions. In this work mixed integer linear programming (MILP) models including multiple assortments, several time periods and a set of road classes are developed. For a typical forest district, the road upgrade problem becomes large and techniques to improve solution performance through model reformulations are discussed. The models are tested in a case study for a major Swedish company. For practical usage of the models we present the development of a new decision support system called RoadOpt. The development has involved the Forestry Research Institute of Sweden, two software companies and several participating forest companies. The system uses a GIS-based map user-interface to present and analyse data and results. The recently developed Swedish road database is an important part. The system is tested on a case study from Stora Enso.

The harvest planning problems addressed cover planning periods ranging from one year down to one month. Annual plans are required for budgeting, contracting harvest teams, contracting transportation firms and assuring road access. The main decisions deal with which areas to harvest, and by which team, during an annual period so that the industries receive the required volume of assortments. Overall decisions about transportation and storage are included. The monthly planning problem includes detailed scheduling of harvest crews, that is, the sequencing of areas for each team. The thesis addresses these planning problems and provides MILP models for each problem. Methods based on both a commercial solver and developed LP based heuristics are used. Models and methods are tested on case studies from Holmen Skog.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2005. 6 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 956
National Category
urn:nbn:se:liu:diva-28705 (URN)13869 (Local ID)91-85299-72-3 (ISBN)13869 (Archive number)13869 (OAI)
Public defence
2005-06-10, Glashuset, Hus B, Campus Valla, Linköpings Universitet, Linköping, 10:15 (English)
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2012-12-10Bibliographically approved

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