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<p>As additive manufacturing (AM) technologies, particularly stereolithography (SLA), gain popularity for producing complex geometries and enabling high-volume production, optimizing workflows becomes essential for efficiency and cost-effectiveness. Traditional trial-and-error approaches to process optimization are time-consuming and costly. To address this, simulation technology provides a powerful tool for analyzing and improving manufacturing systems before real-world implementation. This study explores the optimization of a hypothetical SLA-based production line using FlexSim. The research identifies optimal machine configurations, operator allocations, post-curing machines, and quality control strategies for an initial layout. The comparison is based on layout cost, SLA machine utilization, bottleneck reduction, and total production output.</p>

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Discrete Event Simulation of a Stereolithography Production Line

  • 期刊论文

  • 发表日期：

    2025年12月4日

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  • Zahra Isania,
  • Giuseppe Casalino

摘要

As additive manufacturing (AM) technologies, particularly stereolithography (SLA), gain popularity for producing complex geometries and enabling high-volume production, optimizing workflows becomes essential for efficiency and cost-effectiveness. Traditional trial-and-error approaches to process optimization are time-consuming and costly. To address this, simulation technology provides a powerful tool for analyzing and improving manufacturing systems before real-world implementation. This study explores the optimization of a hypothetical SLA-based production line using FlexSim. The research identifies optimal machine configurations, operator allocations, post-curing machines, and quality control strategies for an initial layout. The comparison is based on layout cost, SLA machine utilization, bottleneck reduction, and total production output.