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.

原木场存储大量的圆木，为锯木厂的生产过程提供原材料。为了实现这一点，需要通常由轮式装载机和原木堆垛机进行的大量运输工作。使用自动存储组件（ASC）来实现木料场的自动化可能是一种简化木料场流程并降低成本的有前途的方法。为了解决相关的自动木料场配置问题，开发了离散事件仿真模型，以评估各种数量和长度的ASC的对齐方式。我们将此模型表示为紧凑模型，因为它是从详细模型中派生而来的，以便计算大量合格的解决方案。该方法使用来自奥地利锯木厂实际伐木场的数据应用于实际案例。为了测试各种原材料分配模式和成本参数的模型，定义并比较了十二种情况。评估了6768个符合条件的ASC长度组合。仿真模型支持找到一种配置，以最低的成本为每种情况提供所需的存储容量，这表明使用不同的ASC长度至关重要。对于最佳解决方案，使用了不超过两个不同的ASC长度。