Discrete Event Simulation of a Stereolithography Production Line

Zahra Isania () and Giuseppe Casalino ()
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Zahra Isania: Polytechnic University of Bari, Department of Mechanics, Mathematics and Management
Giuseppe Casalino: Polytechnic University of Bari, Department of Mechanics, Mathematics and Management

SN Operations Research Forum, 2025, vol. 6, issue 4, 1-19

Abstract: Abstract 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.

Keywords: Additive manufacturing; 3D printing; Discrete event simulation (DES); FlexSim; Stereolithography (SLA) (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s43069-025-00575-1

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