Savings in distance driven from optimization of coordinated trucking

McDonald, T. P., K. Haridass, J. Valenzuela, T. V. Gallagher, and M. F. Smidt. 2013. International Journal of Forest Engineering 24 (1): 31–41. doi:10.1080/14942119.2013.798133.

Author T. P. McDonald
Author K. Haridass
Author J. Valenzuela
Author T. V. Gallagher
Author M. F. Smidt
Volume 24
Issue 1
Pages 31-41
Publication International Journal of Forest Engineering
ISSN 1494-2119
Date April 1, 2013
DOI 10.1080/14942119.2013.798133
Abstract Data on distance driven and loads delivered from five loggers to nine consuming mills were collected from a log-trucking firm. Routes were assigned by a supervisory person and were not optimized. On average, over the week of testing, the schedule achieved a loaded-distance driven proportion of 57%. A route-optimization system was also used to assign delivery schedules, and it achieved a loaded-distance driven proportion of 66%, significantly higher than the human-assigned routes (p < .02) and potentially saving the firm up to 24,000 km per year. Feasibility of the generated optimal schedules was a concern, but could not be directly evaluated. Instead, specific characteristics of routes that might be considered optimal and feasible were selected, and the generated solutions were evaluated for whether or not they had those traits. Optimal solutions tended to (a) deliver loads from multiple loggers on single days, and (b) replicate a few, shorter routes between trucks ? both of which were considered traits of feasible schedules. It was concluded that the optimization system was of potential benefit in reducing the transport costs of coordinated trucking systems.


  • Efficiency
  • Logging
  • Logistics
  • Optimization
  • Simulations
  • Transportation

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