Due to the complexity of steel logistics park systems and their distinct industry characteristics, the application of discrete event simulation in their planning and design remains limited. To address uncertainties in early-stage design evaluations and to mitigate the high costs of post-production modifications caused by design flaws, this study proposes a simulation-based approach for layout scheme selection and optimization in steel logistics parks. Two simulation model architectures are developed: one with independent system inputs and outputs, and another with interrelated inputs and outputs. The model comprises five submodules: element definition, steel entry, loading and unloading operations, steel exit, and data statistics. A case study of a steel logistics park in the planning phase validates the feasibility of the proposed modeling process and methodology. While both layout schemes demonstrate similar processing capabilities, the second scheme exhibits superior performance in terms of road system efficiency and overall operational effectiveness. The results confirm that discrete event simulation provides robust support for quantitative analysis and optimization during the planning stage of steel logistics parks.
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