Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Agent Based Simulation Research on Battery Recycling Logistics System

Authors
Lingzhu Yang, Yukun Liu, Xueka Bian
Corresponding Author
Lingzhu Yang
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.79How to use a DOI?
Keywords
Battery recycling logistics system; Agent based simulation; Simio
Abstract
This paper discusses and designs the structure and operation mode of the battery recycling logistics network with recycling unit, recycling point, collection center and recycling factory as the key logistics nodes. Considering the complicated interaction between the entities, the Agent-based model architecture is established. Finally, conduct a simulation experiment taking city B as an example. It was found that a few policy adjustments of government and organizations could continuously improve system performance, and more quickly in certain circumstances. What’s more, in specific situations, the behavior of surrounding recycling units may hinder the system.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lingzhu Yang
AU  - Yukun Liu
AU  - Xueka Bian
PY  - 2018/12
DA  - 2018/12
TI  - Agent Based Simulation Research on Battery Recycling Logistics System
PB  - Atlantis Press
SP  - 489
EP  - 498
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.79
DO  - https://doi.org/10.2991/tlicsc-18.2018.79
ID  - Yang2018/12
ER  -