Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Full-Scale Discrete Event Simulation of an Automated Modular Conveyor System for Warehouse Logistics

Abstract : This paper presents the use of advanced simulation modeling to optimize the operation of a fully automated modular conveyor system in a large-scale warehouse. At its peak capacity, the smooth flow of material in the system was greatly impaired due to the appearance of bottlenecks. A full-scale 3D discrete event simulation (DES) model of the system was built and time-dependent statistical models were carefully designed and implemented in the model in order to capture the randomness and complex dynamics of the operation. The model was verified and validated, and several scenarios have been analyzed. The paper demonstrates a practical example of how data-driven simulation modeling provided a cost-effective solution to enhance efficiency. The paper highlights the crucial aspects that must be taken into account in the modeling of the system in order to create a reliable standalone decision support system. Moreover, the paper highlights the identified key steps that are yet to be taken from dynamical modelling towards a Digital Twin.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, January 30, 2020 - 10:14:48 AM
Last modification on : Tuesday, February 23, 2021 - 7:24:06 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Alireza Ashrafian, Ole-Gunnar Pettersen, Kristian N. Kuntze, Jacob Franke, Erlend Alfnes, et al.. Full-Scale Discrete Event Simulation of an Automated Modular Conveyor System for Warehouse Logistics. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.35-42, ⟨10.1007/978-3-030-29996-5_4⟩. ⟨hal-02460491⟩



Record views


Files downloads