2012INFOR Information Systems and Operational ResearchRequires access

Discrete Event Simulation to Improve Log Yard Operations

Daniel Beaudoin, Luc LeBel, Mohamed Amine Soussi

Open publisher page 27 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 27 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Truck, Loader, Yard, Discrete event simulation, Transport engineering, Engineering, Event (particle physics), Computer science

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