An Innovative Urban Delivery System Based on Customer-Selected Addresses and Cost-Effective Driver Rates

Oualid Benbrik, Rachid Benmansour, Rachid Benmansour, Raca Todosijević

2025

Abstract

Last-mile delivery is undergoing rapid transformation due to the surge in home delivery services and the increasing demand for convenience, driven by the digitalization of businesses. In response to this evolving landscape, businesses are exploring innovative delivery methods, including the use of parcel lockers and drone delivery. This study investigates a novel approach to last-mile delivery, utilizing non-professional delivery personnel (crowd-shippers) to fulfill customer orders at designated addresses. By leveraging crowd-shippers and considering service locations alongside a comprehensive set of drivers’ preferences—including familiarity with the delivery area, traffic conditions, and ease of access— our aim is to minimize unsuccessful delivery attempts, reduce costs, and align with environmental and societal sustainability goals. The main objective is to minimize the total cost of delivery, accounting for both the total distance traveled and the drivers’ preferences regarding delivery points. We develop and solve a mixed-integer programming model that represents this scenario, providing insights into the advantages of integrating drivers’ preferences into last-mile delivery optimization strategies.

Paper Citation

in Harvard Style

Benbrik O., Benmansour R. and Todosijević R. (2025). An Innovative Urban Delivery System Based on Customer-Selected Addresses and Cost-Effective Driver Rates. In Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES; ISBN 978-989-758-732-0, SciTePress, pages 229-238. DOI: 10.5220/0013120700003893

in Bibtex Style

@conference{icores25,
author={Oualid Benbrik and Rachid Benmansour and Raca Todosijević},
title={An Innovative Urban Delivery System Based on Customer-Selected Addresses and Cost-Effective Driver Rates},
booktitle={Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES},
year={2025},
pages={229-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013120700003893},
isbn={978-989-758-732-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES
TI - An Innovative Urban Delivery System Based on Customer-Selected Addresses and Cost-Effective Driver Rates
SN - 978-989-758-732-0
AU - Benbrik O.
AU - Benmansour R.
AU - Todosijević R.
PY - 2025
SP - 229
EP - 238
DO - 10.5220/0013120700003893
PB - SciTePress