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Reducing Trucks on the Road through Optimal Route Scheduling and Shared Log Transport Services

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A concern for public safety on the roads, cost pressures from global competition and a need to find more energy efficient forestry practices are driving forest companies to develop new transport management systems and novel approaches to using trucking resources. A 0/1 integer linear programming truck route-scheduling model was developed and tested in two medium-sized New Zealand forest companies. One company indicated that truck fleet size could be reduced by 25 to 30%. The other company indicated that a reduction in fleet size of 50% was possible. Substantial cost savings were also identified. In practice, it is expected that the reductions in fleet size and cost savings would not be quite as large as those indicated because of a number of simplifying assumptions included in the models. Results and solution times would be suitable for using the model as a tactical planning tool for small to medium sized problems. It would not be suitable as an aid for dispatching log trucks or for use with large and complex transport operations. South. J. Appl. For. 27(3):198–205.
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Keywords: Mixed integer linear programming; environmental management; fleet management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; route scheduling; wood supply

Document Type: Miscellaneous

Publication date: 2003-08-01

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  • Each regional journal of applied forestry focuses on research, practice, and techniques targeted to foresters and allied professionals in specific regions of the United States and Canada. The Southern Journal of Applied Forestry covers an area from Virginia and Kentucky south to as far west as Oklahoma and east Texas.
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