Integrated Location-Arc Routing Optimization for Waste Logistics with Battery Swapping Stations

Jun Li; Yuchen Zhang; Zhao Yang Dong

doi:10.1109/AUPEC62273.2024.10807514

Integrated Location-Arc Routing Optimization for Waste Logistics with Battery Swapping Stations

Jun Li
, Yuchen Zhang
, Zhao Yang Dong

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

This paper discusses the incorporation of Battery Swapping Stations (BSS) into the waste logistics system with the goal of reducing overall system costs. A new location-arc routing problem (LARP) model is designed to optimize the locations of BSS and waste collection centers, as well as the routes of Electric Garbage Trucks (EGT). To address the computational difficulties of this NP-hard problem, a modified Simulated Annealing (SA) algorithm is created. The effectiveness of the proposed method is verified through numerical simulations using benchmark scenarios, showing notable improvements in cost efficiency and operational viability. The results highlight the potential of the combined BSS and EGT system in cutting emissions and lowering operational costs in municipal waste management logistics. © 2024 IEEE.

Original language	English
Title of host publication	2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)
Publisher	IEEE
Pages	6
ISBN (Electronic)	9798350377941
ISBN (Print)	979-8-3503-7795-8
DOIs	https://doi.org/10.1109/AUPEC62273.2024.10807514
Publication status	Published - 2024
Event	34th IEEE Australasian Universities Power Engineering Conference (AUPEC 2024): "Driving towards a sustainable energy transition" - Mercure Hotel, Sydney, Australia Duration: 20 Nov 2024 → 22 Nov 2024 https://academiceventservices.com/conferences/aupec2024/

Publication series

Name	IEEE Australasian Universities Power Engineering Conference, AUPEC
ISSN (Print)	2474-1493
ISSN (Electronic)	2474-1507

Conference

Conference	34th IEEE Australasian Universities Power Engineering Conference (AUPEC 2024)
Place	Australia
City	Sydney
Period	20/11/24 → 22/11/24
Internet address	https://academiceventservices.com/conferences/aupec2024/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Research Keywords

battery swapping stations planning
electric garbage truck
joint optimization
location-arc routing problem
waste logistics

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10.1109/AUPEC62273.2024.10807514

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Cite this

@inproceedings{315d7d7ed8e3415b921fda59e8063e5d,

title = "Integrated Location-Arc Routing Optimization for Waste Logistics with Battery Swapping Stations",

abstract = "This paper discusses the incorporation of Battery Swapping Stations (BSS) into the waste logistics system with the goal of reducing overall system costs. A new location-arc routing problem (LARP) model is designed to optimize the locations of BSS and waste collection centers, as well as the routes of Electric Garbage Trucks (EGT). To address the computational difficulties of this NP-hard problem, a modified Simulated Annealing (SA) algorithm is created. The effectiveness of the proposed method is verified through numerical simulations using benchmark scenarios, showing notable improvements in cost efficiency and operational viability. The results highlight the potential of the combined BSS and EGT system in cutting emissions and lowering operational costs in municipal waste management logistics. {\textcopyright} 2024 IEEE.",

keywords = "battery swapping stations planning, electric garbage truck, joint optimization, location-arc routing problem, waste logistics",

author = "Jun Li and Yuchen Zhang and Dong, \{Zhao Yang\}",

year = "2024",

doi = "10.1109/AUPEC62273.2024.10807514",

language = "English",

isbn = "979-8-3503-7795-8",

series = "IEEE Australasian Universities Power Engineering Conference, AUPEC",

publisher = "IEEE",

pages = "6",

booktitle = "2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)",

address = "United States",

note = "34th IEEE Australasian Universities Power Engineering Conference (AUPEC 2024) : {"}Driving towards a sustainable energy transition{"} ; Conference date: 20-11-2024 Through 22-11-2024",

url = "https://academiceventservices.com/conferences/aupec2024/",

}

Li, J, Zhang, Y & Dong, ZY 2024, Integrated Location-Arc Routing Optimization for Waste Logistics with Battery Swapping Stations. in 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC). IEEE Australasian Universities Power Engineering Conference, AUPEC, IEEE, pp. 6, 34th IEEE Australasian Universities Power Engineering Conference (AUPEC 2024), Sydney, Australia, 20/11/24. https://doi.org/10.1109/AUPEC62273.2024.10807514

Integrated Location-Arc Routing Optimization for Waste Logistics with Battery Swapping Stations. / Li, Jun; Zhang, Yuchen; Dong, Zhao Yang.
2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC). IEEE, 2024. p. 6 (IEEE Australasian Universities Power Engineering Conference, AUPEC).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Integrated Location-Arc Routing Optimization for Waste Logistics with Battery Swapping Stations

AU - Li, Jun

AU - Zhang, Yuchen

AU - Dong, Zhao Yang

PY - 2024

Y1 - 2024

N2 - This paper discusses the incorporation of Battery Swapping Stations (BSS) into the waste logistics system with the goal of reducing overall system costs. A new location-arc routing problem (LARP) model is designed to optimize the locations of BSS and waste collection centers, as well as the routes of Electric Garbage Trucks (EGT). To address the computational difficulties of this NP-hard problem, a modified Simulated Annealing (SA) algorithm is created. The effectiveness of the proposed method is verified through numerical simulations using benchmark scenarios, showing notable improvements in cost efficiency and operational viability. The results highlight the potential of the combined BSS and EGT system in cutting emissions and lowering operational costs in municipal waste management logistics. © 2024 IEEE.

AB - This paper discusses the incorporation of Battery Swapping Stations (BSS) into the waste logistics system with the goal of reducing overall system costs. A new location-arc routing problem (LARP) model is designed to optimize the locations of BSS and waste collection centers, as well as the routes of Electric Garbage Trucks (EGT). To address the computational difficulties of this NP-hard problem, a modified Simulated Annealing (SA) algorithm is created. The effectiveness of the proposed method is verified through numerical simulations using benchmark scenarios, showing notable improvements in cost efficiency and operational viability. The results highlight the potential of the combined BSS and EGT system in cutting emissions and lowering operational costs in municipal waste management logistics. © 2024 IEEE.

KW - battery swapping stations planning

KW - electric garbage truck

KW - joint optimization

KW - location-arc routing problem

KW - waste logistics

UR - https://www.scopus.com/pages/publications/85215627458

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85215627458&origin=recordpage

U2 - 10.1109/AUPEC62273.2024.10807514

DO - 10.1109/AUPEC62273.2024.10807514

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 979-8-3503-7795-8

T3 - IEEE Australasian Universities Power Engineering Conference, AUPEC

SP - 6

BT - 2024 IEEE 34th Australasian Universities Power Engineering Conference (AUPEC)

PB - IEEE

T2 - 34th IEEE Australasian Universities Power Engineering Conference (AUPEC 2024)

Y2 - 20 November 2024 through 22 November 2024

ER -

Integrated Location-Arc Routing Optimization for Waste Logistics with Battery Swapping Stations

Abstract

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UN SDGs

Research Keywords

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