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Optimizing capacitated electric vehicle route in logistic operations

As the use of eco-friendly practices in logistics grows, optimizing routes for CEVs remains challenging due to their limited energy and load capacities. This project aims to develop an efficient route optimization algorithm for Capacitated Electric Vehicles (CEVs) in logistics, focusing on minimizin...

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Bibliographic Details
Main Author: Tiong, Samuel Fu Wei
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
Q Science (General)
T Technology (General)
Online Access:http://eprints.utar.edu.my/6858/1/Samuel_Tiong_Fu_Wei_2004885_Full_Report_(1).pdf
http://eprints.utar.edu.my/6858/
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spelling my-utar-eprints.68582025-02-27T06:45:31Z Optimizing capacitated electric vehicle route in logistic operations Tiong, Samuel Fu Wei Q Science (General) T Technology (General) As the use of eco-friendly practices in logistics grows, optimizing routes for CEVs remains challenging due to their limited energy and load capacities. This project aims to develop an efficient route optimization algorithm for Capacitated Electric Vehicles (CEVs) in logistics, focusing on minimizing travel distance while adhering to vehicle capacity and battery limitations. To address this, the Ant Colony Optimization (ACO) technique was chosen for its ability to efficiently explore large solution spaces and identify optimal routes. The algorithm’s performance was further enhanced by applying the Taguchi method to fine-tune key parameters to solve the Capacitated Electric Vehicle Routing Problem (CEVRP). Key parameters, such as the number of ants, pheromone influence, heuristic information, and evaporation rate, were optimized using the Taguchi method. The analysis showed that these parameters significantly impacted the route optimization, leading to a reduction in total travel distance. The results demonstrated that the optimized algorithm effectively minimized the distance traveled by CEVs while meeting operational constraints. This approach not only improves the efficiency of logistics operations but also contributes to sustainable transportation, making it applicable across various logistics and supply chain scenarios. 2024-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6858/1/Samuel_Tiong_Fu_Wei_2004885_Full_Report_(1).pdf Tiong, Samuel Fu Wei (2024) Optimizing capacitated electric vehicle route in logistic operations. Final Year Project, UTAR. http://eprints.utar.edu.my/6858/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic Q Science (General)
T Technology (General)
spellingShingle Q Science (General)
T Technology (General)
Tiong, Samuel Fu Wei
Optimizing capacitated electric vehicle route in logistic operations
description As the use of eco-friendly practices in logistics grows, optimizing routes for CEVs remains challenging due to their limited energy and load capacities. This project aims to develop an efficient route optimization algorithm for Capacitated Electric Vehicles (CEVs) in logistics, focusing on minimizing travel distance while adhering to vehicle capacity and battery limitations. To address this, the Ant Colony Optimization (ACO) technique was chosen for its ability to efficiently explore large solution spaces and identify optimal routes. The algorithm’s performance was further enhanced by applying the Taguchi method to fine-tune key parameters to solve the Capacitated Electric Vehicle Routing Problem (CEVRP). Key parameters, such as the number of ants, pheromone influence, heuristic information, and evaporation rate, were optimized using the Taguchi method. The analysis showed that these parameters significantly impacted the route optimization, leading to a reduction in total travel distance. The results demonstrated that the optimized algorithm effectively minimized the distance traveled by CEVs while meeting operational constraints. This approach not only improves the efficiency of logistics operations but also contributes to sustainable transportation, making it applicable across various logistics and supply chain scenarios.
format Final Year Project / Dissertation / Thesis
author Tiong, Samuel Fu Wei
author_facet Tiong, Samuel Fu Wei
author_sort Tiong, Samuel Fu Wei
title Optimizing capacitated electric vehicle route in logistic operations
title_short Optimizing capacitated electric vehicle route in logistic operations
title_full Optimizing capacitated electric vehicle route in logistic operations
title_fullStr Optimizing capacitated electric vehicle route in logistic operations
title_full_unstemmed Optimizing capacitated electric vehicle route in logistic operations
title_sort optimizing capacitated electric vehicle route in logistic operations
publishDate 2024
url http://eprints.utar.edu.my/6858/1/Samuel_Tiong_Fu_Wei_2004885_Full_Report_(1).pdf
http://eprints.utar.edu.my/6858/
_version_ 1825817817377669120
score 13.244413

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