Development of a novel material flow simulation model for the integration of spatial and process relevant information

Simulation techniques are almost indispensable in the analysis of complex systems. Materials- and related information flow processes in logistics often possess such complexity. Further problem arise as the processes change over time and pose a Big Data problem as well. To cope with these issues adaptive simulations are more and more frequently used. This paper presents a few relevant advanced simulation models and intro-duces a novel model structure, which unifies modelling of geometrical relations and time processes. This way the process structure and their geometric relations can be handled in a well understandable and transparent way. Capabilities and applicability of the model is also presented via a demonstrational example.

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Publication Details

Journal
Logistics Journal Proceedings
Published
2024-12-16
DOI
https://doi.org/10.2195/lj_notrev_bohacs_en_201604_01
Citations
5
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a novel material flow simulation model for the integration of spatial and process relevant information

Gábor Bohács, Angéla Rinkács
5 citations
Logistics Journal Proceedings
Advanced Manufacturing and Logistics Optimization
article

Development of a novel material flow simulation model for the integration of spatial and process relevant information

Gábor Bohács, Angéla Rinkács
article en
5 citations

Abstract

Simulation techniques are almost indispensable in the analysis of complex systems. Materials- and related information flow processes in logistics often possess such complexity. Further problem arise as the processes change over time and pose a Big Data problem as well. To cope with these issues adaptive simulations are more and more frequently used. This paper presents a few relevant advanced simulation models and intro-duces a novel model structure, which unifies modelling of geometrical relations and time processes. This way the process structure and their geometric relations can be handled in a well understandable and transparent way. Capabilities and applicability of the model is also presented via a demonstrational example.

Logistics Journal ProceedingsVol. 2016(04)
Budapest University of Technology and Economics (HU)
Openalex Percentile: Top 100%
Advanced Manufacturing and Logistics Optimization
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