Simulation of container discharge dynamics using modified cellular automata

In the field of physical logistics, efficient and precise control of material flow during the emptying of containers such as silos and wagons is crucial. This study introduces a not conventional cellular automaton model to simulate spillage from containers. The model is implemented using Excel macros, providing a user-friendly and accessible platform for logistics professionals. By modifying the traditional cellular automaton framework, the simulation can accurately represents the dynamics of material flow during container emptying processes. The proposed method allows for fine-tuned control over the spillage by integrating specific constraints and parameters, enhancing operational efficiency and reducing material loss. The versatility of the model makes it applicable to a wide range of logistical scenarios, demonstrating its potential as a valuable tool in physical logistics management.

Authors

Publication Details

Journal
Advanced Logistic Systems - Theory and Practice
Published
2024-10-11
DOI
https://doi.org/10.32971/als.2024.029
Primary Topic
Cellular Automata and Applications
Type
article
Field-Weighted Citation Impact
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article

Simulation of container discharge dynamics using modified cellular automata

P. Vereš
Advanced Logistic Systems - Theory and Practice
Cellular Automata and Applications
article

Simulation of container discharge dynamics using modified cellular automata

P. Vereš
article en

Abstract

In the field of physical logistics, efficient and precise control of material flow during the emptying of containers such as silos and wagons is crucial. This study introduces a not conventional cellular automaton model to simulate spillage from containers. The model is implemented using Excel macros, providing a user-friendly and accessible platform for logistics professionals. By modifying the traditional cellular automaton framework, the simulation can accurately represents the dynamics of material flow during container emptying processes. The proposed method allows for fine-tuned control over the spillage by integrating specific constraints and parameters, enhancing operational efficiency and reducing material loss. The versatility of the model makes it applicable to a wide range of logistical scenarios, demonstrating its potential as a valuable tool in physical logistics management.

Advanced Logistic Systems - Theory and PracticeVol. 18(3)
Openalex Percentile: Top 79%
Cellular Automata and Applications
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