[HTML][HTML] A brief survey of machine learning and deep learning techniques for e-commerce research

X Zhang, F Guo, T Chen, L Pan, G Beliakov… - Journal of Theoretical …, 2023 - mdpi.com
The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

Crowdsourced last-mile delivery with parcel lockers

H Ghaderi, L Zhang, PW Tsai, J Woo - International Journal of Production …, 2022 - Elsevier
Crowdship** is increasingly known as a sustainable solution to address the challenges of
last mile delivery (LMD) in urban areas. While employing the crowd to perform LMD appears …

A cost-based comparative analysis of different last-mile strategies for e-commerce delivery

A Pahwa, M Jaller - Transportation Research Part E: Logistics and …, 2022 - Elsevier
The growth of e-commerce has bridged the gap between the consumer and the retailer,
bringing prosperity for both. However, in a quest to achieve even larger profits and market …

[HTML][HTML] Contextualizing alternative delivery points in last mile delivery

SS Mohri, H Ghaderi, T Van Woensel… - … Research Part E …, 2024 - Elsevier
This study presents a comprehensive literature analysis to explore the role of Alternative
Delivery Points (ADPs), such as parcel lockers (PLs), within logistics and transportation …

[HTML][HTML] A machine learning optimization approach for last-mile delivery and third-party logistics

ME Bruni, E Fadda, S Fedorov, G Perboli - Computers & Operations …, 2023 - Elsevier
Third-party logistics is now an essential component of efficient delivery systems, enabling
companies to purchase carrier services instead of an expensive fleet of vehicles. However …

Van-based robot hybrid pickup and delivery routing problem

S Yu, J Puchinger, S Sun - European Journal of Operational Research, 2022 - Elsevier
We present a two-echelon van-based robot last-mile pickup and delivery system in urban
settings. Robots can visit areas with van access restrictions, such as pedestrianized areas or …

[HTML][HTML] Assessing last-mile distribution resilience under demand disruptions

A Pahwa, M Jaller - Transportation Research Part E: Logistics and …, 2023 - Elsevier
The COVID-19 pandemic led to a significant breakdown of the traditional retail sector
resulting in an unprecedented surge in e-commerce demand for the delivery of essential …

[HTML][HTML] The drone latency location routing problem under uncertainty

ME Bruni, S Khodaparasti, G Perboli - Transportation Research Part C …, 2023 - Elsevier
This paper addresses a location routing problem arising in the last-mile drone delivery
context, where drones are used to deliver small packages to a set of customers. Each drone …

[HTML][HTML] Last-Mile logistics with on-premises parcel Lockers: Who are the real Beneficiaries?

SS Mohri, N Nassir, RG Thompson… - … Research Part E: Logistics …, 2024 - Elsevier
Researchers have investigated various planning aspects of public Parcel Lockers (PLs), but
little is known about the wider benefits of on-premises parcel lockers (OPLs). More recently …

Point-to-point drone-based delivery network design with intermediate charging stations

R Pinto, A Lagorio - Transportation Research Part C: Emerging …, 2022 - Elsevier
Drone-based delivery represents a possible way of performing last-mile logistics activities
with potential benefits on process efficiency, traffic congestion, and pollution emissions …