TY - GEN
T1 - A simulation of an end-of-life reverse supply chain for electric vehicle batteries
AU - Venegas, Melissa
AU - Greasley, Andrew
AU - Matopoulos, Aristides
N1 - Copyright © 2021 The Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license (https://creativecommons.org/licenses/by-nc-nd/4.0/).
PY - 2021/9/17
Y1 - 2021/9/17
N2 - The purpose of this study is to investigate the operation of an integrated end-of-life supply chain network in which authorised treatment facilities (ATFs), remanufacturers, and recyclers offer to Electric Vehicle (EV) manufacturers the end of life (EOL) management of batteries within the UK. A simulation model has been constructed in order to measure the process efficiency, labour costs and transport costs of this reverse supply chain network for different resource (capacity) configurations. Although current demand for the management of the end-of-life (EOL) for the batteries is low there is a prediction of a rapid increase in demand as Electric Vehicle sales increase and the EV batteries within these vehicles reach their end of life. It is intended that the simulation will provide an indication of the potential capacity requirements through the supply chain that are required to deal with this future demand.
AB - The purpose of this study is to investigate the operation of an integrated end-of-life supply chain network in which authorised treatment facilities (ATFs), remanufacturers, and recyclers offer to Electric Vehicle (EV) manufacturers the end of life (EOL) management of batteries within the UK. A simulation model has been constructed in order to measure the process efficiency, labour costs and transport costs of this reverse supply chain network for different resource (capacity) configurations. Although current demand for the management of the end-of-life (EOL) for the batteries is low there is a prediction of a rapid increase in demand as Electric Vehicle sales increase and the EV batteries within these vehicles reach their end of life. It is intended that the simulation will provide an indication of the potential capacity requirements through the supply chain that are required to deal with this future demand.
KW - discrete-event simulation
KW - electric vehicle batteries
KW - reverse supply chain
UR - https://www.cal-tek.eu/proceedings/i3m/2021/emss/043/
UR - http://www.scopus.com/inward/record.url?scp=85143172217&partnerID=8YFLogxK
U2 - 10.46354/i3m.2021.emss.043
DO - 10.46354/i3m.2021.emss.043
M3 - Conference publication
AN - SCOPUS:85143172217
T3 - The European Modeling and Simulation Symposium
SP - 315
EP - 319
BT - Proceedings of the 33rd European Modeling & Simulation Symposium, EMSS 2021
A2 - Affenzeller, Michael
A2 - Bruzzone, Agostino G.
A2 - Jimenez, Emilio
A2 - Longo, Francesco
A2 - Petrillo, Antonella
T2 - 33rd European Modeling and Simulation Symposium
Y2 - 15 September 2021 through 17 September 2021
ER -