Optimizing cable harvesting layout when using variable-length cable roads in central Europe

Author:

Bont Leo1,Heinimann Hans Rudolf1,Church Richard L.2

Affiliation:

1. ETH Zurich, Institute of Terrestrial Ecosystems, Universitaetstrasse 16, CHN K 75.1, CH-8092 Zurich, Switzlerland.

2. Department of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106-4060, USA.

Abstract

One of the classic operations problems in forest management is the layout of a harvesting system. This paper addresses the design of a harvesting system in areas characterized by steep slopes requiring cable-based harvesting. Layout optimization often involves numerous potential cable alignments and a small number of potential landings. In this paper we develop a model that addresses steep slope conditions found in central Europe that involve a large number of potential landings and cable alignments. In addition we extend existing work by considering variable-length alternatives for each feasible cable alignment. We construct three models, one for single-length cable options and two for variable-length alternatives and test their efficacy in solving 18 different harvesting area problems. We show that one of the variable-length alternative models can be solved in computer times that are competitive with the single-length option model. Overall, the savings that can be attributed to variable-length options are modest, but the alignments found by the variable-length options models are more realistic from forest engineers’ points of view, which will aid in its use and adoption.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

Reference30 articles.

1. A Problem of Forest Harvesting and Road Building Solved Through Model Strengthening and Lagrangean Relaxation

2. Optimum geometric layout of a single cable road

3. Concurrent optimization of harvesting and road network layouts under steep terrain

4. Chung, W. 2002. Optimization of cable logging layout using a heuristic algorithm for network programming. Ph.D. dissertation, Oregon State University, Corvallis, OR. p. 209.

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