Fast-Track Your Decisions: Leveraging Low Code to Speed Up Simulation-Driven Insights in Semiconductor Industry

Low-code approaches can accelerate decision-making in the semiconductor industry by streamlining simulation-driven insights. This supports the paradigm shift to Industry 4.0 and Industry 5.0 by enabling rapid development and optimized workflows. However, existing simulation methods often require extensive coding expertise, limiting accessibility and slowing down model development. This paper presents a simulation template that streamlines the development of discrete event simulation models in semiconductor manufacturing. Thus, the simulation template implements reusable components to simplify model creation and reduce development time. The approach encourages collaboration between technical and nontechnical stakeholders. Combined with a low-code data farming framework, the simulation template increases agility, accelerates experimentation, and supports efficient, data-driven production planning decisions.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.03.066
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Fast-Track Your Decisions: Leveraging Low Code to Speed Up Simulation-Driven Insights in Semiconductor Industry

Christoph Laroque, Madlene Leißau, Adrian Rössl
Procedia CIRP
Simulation Techniques and Applications
article

Fast-Track Your Decisions: Leveraging Low Code to Speed Up Simulation-Driven Insights in Semiconductor Industry

Christoph Laroque, Madlene Leißau, Adrian Rössl
article en

Abstract

Low-code approaches can accelerate decision-making in the semiconductor industry by streamlining simulation-driven insights. This supports the paradigm shift to Industry 4.0 and Industry 5.0 by enabling rapid development and optimized workflows. However, existing simulation methods often require extensive coding expertise, limiting accessibility and slowing down model development. This paper presents a simulation template that streamlines the development of discrete event simulation models in semiconductor manufacturing. Thus, the simulation template implements reusable components to simplify model creation and reduce development time. The approach encourages collaboration between technical and nontechnical stakeholders. Combined with a low-code data farming framework, the simulation template increases agility, accelerates experimentation, and supports efficient, data-driven production planning decisions.

Procedia CIRPVol. 134
Westsächsische Hochschule Zwickau (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 84%
Simulation Techniques and Applications
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