[HTML][HTML] Enhancing supply chain management with deep learning and machine learning techniques: A review

AM Khedr - Journal of Open Innovation: Technology, Market, and …, 2024 - Elsevier
Supply chain management (SCM) is crucial in establishing long-term partnerships that are
pivotal for achieving sustained business success. Effective SCM demands rigorous criteria …

Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review

ZN Jawad, V Balázs - Beni-Suef University Journal of Basic and Applied …, 2024 - Springer
In the dynamic and changing realm of technology and business operations, staying abreast
of recent trends is paramount. This review evaluates the progress in the development of the …

[HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

H Li, H Jiao, Z Yang - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …

Public transport for smart cities: Recent innovations and future challenges

YH Kuo, JMY Leung, Y Yan - European Journal of Operational Research, 2023 - Elsevier
The idea of a smart city is one that utilises Internet-of-Things (IoT) technologies and data
analytics to optimise the efficiency of city operations and services, so as to provide a high …

[HTML][HTML] Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships

H Li, W **ng, H Jiao, Z Yang, Y Li - Transportation Research Part E …, 2024 - Elsevier
It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …

Vehicle routing problems with drones equipped with multi-package payload compartments

MA Masmoudi, S Mancini, R Baldacci… - … Research Part E: Logistics …, 2022 - Elsevier
The vehicle routing problem with drones (VRP-D) consists of designing combined truck-
drone routes and schedules to serve a set of customers with specific requests and time …

Technology-driven logistics and supply chain management for societal impacts

X Sun, YH Kuo, W Xue, Y Li - Transportation Research Part E: Logistics and …, 2024 - Elsevier
In recent years, there has been substantial growth in the utilization of technologies within the
logistics and transportation industries. This growth has resulted in the emergence of …

Towards efficient airline disruption recovery with reinforcement learning

Y Ding, S Wandelt, G Wu, Y Xu, X Sun - Transportation Research Part E …, 2023 - Elsevier
Disruptions to airline schedules precipitate flight delays/cancellations and significant losses
for airline operations. The goal of the integrated airline recovery problem is to develop an …

[HTML][HTML] Toward a modern last-mile delivery: Consequences and obstacles of intelligent technology

S Sorooshian, S Khademi Sharifabad… - Applied System …, 2022 - mdpi.com
Last-mile delivery (LMD) is essential in supply chains, and providers of logistics services are
aware that they must adapt to changing customer and society expectations, competition …

Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework

R Dubey, A Gunasekaran, T Papadopoulos - Transportation Research Part …, 2024 - Elsevier
Abstract Generative Artificial Intelligence (Gen AI) is an up-and-coming technological
innovation that has the potential to revolutionise businesses and create significant value …