A simulation-based approach: Optimizing printed circuit board assembly lines with ARENA

We present a simulation-based method to enhance throughput and resource utilization in printed circuit board assembly lines using ARENA. This approach optimizes production by evaluating alternatives, leading to reduced costs and improved efficiency. Time simulations provide insights into supply chain dynamics and production parameters, addressing issues such as downtime and bottlenecks. The methodology allows for better resource allocation, production line reconfigurations, and long-term analysis, facilitating continuous improvement in the semiconductor industry. Ultimately, this simulation model aids in redesigning production schedules to increase availability, throughput, and reduce defect rates. This study develops a discrete-event simulation model using Rockwell Automation’s ARENA to analyze a printed circuit board assembly line. Our model allows us to investigate performance and analyze the impact of adding a second oven, as well as reducing machine preparation times by 30%.

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Publication Details

Journal
SIMULATION
Published
2026-11-08
DOI
https://doi.org/10.1177/00375497261503568
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
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article

A simulation-based approach: Optimizing printed circuit board assembly lines with ARENA

E. El Haber, Roger Achkar, Wissam Nakhle, Gilbert El Mir et al.
SIMULATION
Simulation and Modeling Applications
article

A simulation-based approach: Optimizing printed circuit board assembly lines with ARENA

E. El Haber, Roger Achkar, Wissam Nakhle, Gilbert El Mir, Gaby A. Haidar
article en

Abstract

We present a simulation-based method to enhance throughput and resource utilization in printed circuit board assembly lines using ARENA. This approach optimizes production by evaluating alternatives, leading to reduced costs and improved efficiency. Time simulations provide insights into supply chain dynamics and production parameters, addressing issues such as downtime and bottlenecks. The methodology allows for better resource allocation, production line reconfigurations, and long-term analysis, facilitating continuous improvement in the semiconductor industry. Ultimately, this simulation model aids in redesigning production schedules to increase availability, throughput, and reduce defect rates. This study develops a discrete-event simulation model using Rockwell Automation’s ARENA to analyze a printed circuit board assembly line. Our model allows us to investigate performance and analyze the impact of adding a second oven, as well as reducing machine preparation times by 30%.

SIMULATION
Holy Spirit University of Kaslik (LB), Antonine University (LB), American University of Science and Technology (LB)
Simulation and Modeling Applications
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