Developing a Vans-and-Drones System for Last-Mile Delivery
The e-commerce industry is experiencing rapid growth, and growing customer expectations and demand challenges the industry to find more cost-efficient ways of performing the last-mile deliveries. Drones have in recent years been a hot topic, and with high versatility and several application areas it...
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Format: | Master Thesis |
Language: | English |
Published: |
UiT Norges arktiske universitet
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10037/23277 |
_version_ | 1829313700268343296 |
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author | Aasen, Kristina Charlotte Pedersen |
author_facet | Aasen, Kristina Charlotte Pedersen |
author_sort | Aasen, Kristina Charlotte Pedersen |
collection | University of Tromsø: Munin Open Research Archive |
description | The e-commerce industry is experiencing rapid growth, and growing customer expectations and demand challenges the industry to find more cost-efficient ways of performing the last-mile deliveries. Drones have in recent years been a hot topic, and with high versatility and several application areas it may be the answer to the challenge. In this project a Vans-and-Drones System for Last-Mile Delivery have been developed considering effective task allocation and route scheduling. A literature review is presented on the topic of drone technology and application areas, especially emphasizing utilization of drones in logistic operations and routing problems. A mathematical model for the Vehicle Routing Problem with Drones is derived based on the classical Capacitated Vehicle Routing Problem, and the formulation is modeled in Jupyter Notebook with Python programming language and solved with CPLEX solver. A case study is carried out to examine the effects of integrating drones into the delivery system for a vaccine distribution scenario in a sparsely populated area, Ofoten region, considering vehicle employment cost, delivery time and emission impact. Results show that the proposed vans-and-drones system outperforms a truck-only delivery system for this purpose. |
format | Master Thesis |
genre | Ofoten |
genre_facet | Ofoten |
geographic | Ofoten |
geographic_facet | Ofoten |
id | ftunivtroemsoe:oai:munin.uit.no:10037/23277 |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(16.378,16.378,68.029,68.029) |
op_collection_id | ftunivtroemsoe |
op_relation | https://hdl.handle.net/10037/23277 |
op_rights | Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Copyright 2021 The Author(s) https://creativecommons.org/licenses/by-nc-sa/4.0 |
publishDate | 2021 |
publisher | UiT Norges arktiske universitet |
record_format | openpolar |
spelling | ftunivtroemsoe:oai:munin.uit.no:10037/23277 2025-04-13T14:25:10+00:00 Developing a Vans-and-Drones System for Last-Mile Delivery Aasen, Kristina Charlotte Pedersen 2021-05-18 https://hdl.handle.net/10037/23277 eng eng UiT Norges arktiske universitet UiT The Arctic University of Norway https://hdl.handle.net/10037/23277 Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Copyright 2021 The Author(s) https://creativecommons.org/licenses/by-nc-sa/4.0 VDP::Teknologi: 500::Industri- og produktdesign: 640 VDP::Technology: 500::Industrial and product design: 640 INE-3900 Master thesis Mastergradsoppgave 2021 ftunivtroemsoe 2025-03-14T05:17:57Z The e-commerce industry is experiencing rapid growth, and growing customer expectations and demand challenges the industry to find more cost-efficient ways of performing the last-mile deliveries. Drones have in recent years been a hot topic, and with high versatility and several application areas it may be the answer to the challenge. In this project a Vans-and-Drones System for Last-Mile Delivery have been developed considering effective task allocation and route scheduling. A literature review is presented on the topic of drone technology and application areas, especially emphasizing utilization of drones in logistic operations and routing problems. A mathematical model for the Vehicle Routing Problem with Drones is derived based on the classical Capacitated Vehicle Routing Problem, and the formulation is modeled in Jupyter Notebook with Python programming language and solved with CPLEX solver. A case study is carried out to examine the effects of integrating drones into the delivery system for a vaccine distribution scenario in a sparsely populated area, Ofoten region, considering vehicle employment cost, delivery time and emission impact. Results show that the proposed vans-and-drones system outperforms a truck-only delivery system for this purpose. Master Thesis Ofoten University of Tromsø: Munin Open Research Archive Ofoten ENVELOPE(16.378,16.378,68.029,68.029) |
spellingShingle | VDP::Teknologi: 500::Industri- og produktdesign: 640 VDP::Technology: 500::Industrial and product design: 640 INE-3900 Aasen, Kristina Charlotte Pedersen Developing a Vans-and-Drones System for Last-Mile Delivery |
title | Developing a Vans-and-Drones System for Last-Mile Delivery |
title_full | Developing a Vans-and-Drones System for Last-Mile Delivery |
title_fullStr | Developing a Vans-and-Drones System for Last-Mile Delivery |
title_full_unstemmed | Developing a Vans-and-Drones System for Last-Mile Delivery |
title_short | Developing a Vans-and-Drones System for Last-Mile Delivery |
title_sort | developing a vans-and-drones system for last-mile delivery |
topic | VDP::Teknologi: 500::Industri- og produktdesign: 640 VDP::Technology: 500::Industrial and product design: 640 INE-3900 |
topic_facet | VDP::Teknologi: 500::Industri- og produktdesign: 640 VDP::Technology: 500::Industrial and product design: 640 INE-3900 |
url | https://hdl.handle.net/10037/23277 |