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A simulation-based sizing approach for automated log yards

机译:一种基于仿真的自动日志码尺寸方法

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摘要

Log yards store huge volumes of roundwood to provide raw material for the production process at sawmills. In order to achieve that, considerable transport efforts, usually done by wheel loaders and log stackers, are required. The automation of a log yard using automated storage components (ASCs) might be a promising way to simplify log yard processes and reduce costs. To address the related automated log yard configuration problem, a discrete event simulation model was developed in order to evaluate the alignment of various numbers and lengths of ASCs. We denote this model as a compact model as it is derived from a detailed one, in order to calculate a high number of eligible solutions. The approach was applied to a real-life case using data from an actual log yard of an Austrian sawmill. In order to test the model for various raw material distribution patterns and cost parameters, twelve scenarios were defined and compared. 6768 eligible combinations of ASC lengths were evaluated. The simulation model supports finding a configuration providing the required storage capacity at minimum cost for each scenario showing that the use of different ASC lengths is crucial. For the optimal solutions found never more than two different ASC lengths were used.
机译:日志码S储存大量的圆木,为锯木厂提供生产过程的原料。为了实现这一目标,需要相当大的运输工程,通常由轮式装载机和日志堆叠器完成。使用自动存储组件(ASCS)的日志码自动化可能是一种有希望的方式来简化日志码进程并降低成本。为了解决相关的自动日志围场配置问题,开发了一种离散事件仿真模型,以便评估各种数量和长度的ASC的对齐。我们将该模型表示为紧凑的模型,因为它来自详细的模型,以便计算大量符合条件的解决方案。使用来自奥地利锯木厂的实际日志码的数据应用该方法。为了测试各种原料分布模式和成本参数的模型,定义了12个场景并进行了比较。 6768评估了ASC长度的合格组合。仿真模型支持找到为每个场景的最小成本提供所需存储容量的配置,显示不同ASC长度是至关重要的。对于发现从未使用过两种不同的ASC长度的最佳解决方案。

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