Objective validation for short-term material flow simulation

Material flow simulation, by means of discrete event simulation (DES), is utilized in various industries to support production planning and control. This is due to the fact that changes to manufacturing systems and production strategies can be virtually examined before actual implementation. Since the manual development and repeated adjustment of simulation models is time-consuming and error-prone, numerous studies suggest computerized model generation and synchronization. However, validation of such generated or synchronized models is rarely considered. Here, we present an extendible objective validation technique for the repeated short-term simulation of a generated model. To illustrate this, the technique is applied to a high-volume automotive production line and a series of simulation cycles.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.02.170
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

Objective validation for short-term material flow simulation

Roman Arnold, Heiner Reinhardt, Philipp Klimant, Steffen Ihlenfeldt et al.
Procedia CIRP
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article

Objective validation for short-term material flow simulation

Roman Arnold, Heiner Reinhardt, Philipp Klimant, Steffen Ihlenfeldt, Bastian Prell, Mahtab Mahdaviasl, F. Seifert, Boran Bogdanow
article en

Abstract

Material flow simulation, by means of discrete event simulation (DES), is utilized in various industries to support production planning and control. This is due to the fact that changes to manufacturing systems and production strategies can be virtually examined before actual implementation. Since the manual development and repeated adjustment of simulation models is time-consuming and error-prone, numerous studies suggest computerized model generation and synchronization. However, validation of such generated or synchronized models is rarely considered. Here, we present an extendible objective validation technique for the repeated short-term simulation of a generated model. To illustrate this, the technique is applied to a high-volume automotive production line and a series of simulation cycles.

Procedia CIRPVol. 134
Hochschule Mittweida (DE), Volkswagen Group (Germany) (DE), Chemnitz University of Technology (DE), Technical University of Applied Sciences Wildau (DE), Fraunhofer Institute for Machine Tools and Forming Technology (DE), Technische Universität Dresden (DE)
Climate action
Openalex Percentile: Top 81%
Manufacturing Process and Optimization
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