Discrete Event Simulation to Improve Log Yard Operations
Daniel Beaudoin, Luc LeBel, Mohamed Amine Soussi
Abstract
Daniel Beaudoin, Luc LeBel, Mohamed Amine Soussi
Abstract
Due to seasonal considerations, sawmills build up large inventories in their log yard to ensure continuous operation. Our industrial partner services up to 140 log trucks per day, which translates to yard congestion and long truck wait times. This project looks at the impact of different loader-to-truck allocation strategies on truck cycle time and loaders driving distance, using a discrete event simulation model. It was found that by changing the current loader-to-truck allocation strategy, average truck cycle time and loaders driving distance can be significantly reduced by 14.6% and 18.4% respectively.
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Due to seasonal considerations, sawmills build up large inventories in their log yard to ensure continuous operation. Our industrial partner services up to 140 log trucks per day, which translates to yard congestion and long truck wait times. This project looks at the impact of different loader-to-truck allocation strategies on truck cycle time and loaders driving distance, using a discrete event simulation model. It was found that by changing the current loader-to-truck allocation strategy, average truck cycle time and loaders driving distance can be significantly reduced by 14.6% and 18.4% respectively.
Key concepts: Truck, Loader, Yard, Discrete event simulation, Transport engineering, Engineering, Event (particle physics), Computer science