Bahadori, R., Saad, S.M., Badakhshan, E. et al. (2 more authors) (2023) A new eco-friendly initiative for last food mile delivery in urban areas. In: Bruzzone, A.G., Janosy, J.S., Nicoletti, L. and Zacharewicz, G., (eds.) Proceedings of the 11th International Workshop on Simulation for Energy, Sustainable Development & Environment, SESDE. SESDE 2023 International Workshop on Simulation for Energy, Sustainable Development & Environment, 18-20 Sep 2023, Athens, Greece. CAL-TEK srl ISBN 9788885741997
Abstract
The last food mile delivery involves the final step of delivering food products to the end customers. By developing e-commerce channels, home delivery is considered the final mile of food delivery. However, although home food delivery has received much welcome from consumers, it is still one of the costliest and most polluting segments in the food supply chain, and its optimisation is highly felt. Thus, this paper proposes a new initiative to reduce the environmental impacts of home food deliveries from retailers in urban areas. Last food mile models for both the conventional approach in which each retailer has its own dark store and for a proposed approach in which all retailers have only one common dark store for home food delivery are developed. A Vehicle Route Problem with Time Window (VRPTW) and heterogeneous fleet are developed to minimise both CO2 emission and transportation cost simultaneously and implemented using a simulated annealing algorithm that is programmed in MATLAB software. The obtained results revealed that the proposed initiative's application can significantly impact the reduction of both CO2 emission and transportation costs.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. The articles are open access and 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/). |
Keywords: | Last food mile; Vehicle Route Problem with Time Window (VRPTW); simulated annealing algorithm; food retail supply chain; modelling and simulation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Oct 2023 10:00 |
Last Modified: | 31 Oct 2023 10:44 |
Published Version: | https://www.cal-tek.eu/proceedings/i3m/2023/sesde/ |
Status: | Published |
Publisher: | CAL-TEK srl |
Refereed: | Yes |
Identification Number: | 10.46354/i3m.2023.sesde.005 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:204534 |