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[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 …
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 …
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
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …
environment caused by large-scale and high-speed ships, particularly with the introduction …
Public transport for smart cities: Recent innovations and future challenges
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 …
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
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 …
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …
Vehicle routing problems with drones equipped with multi-package payload compartments
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 …
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
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 …
logistics and transportation industries. This growth has resulted in the emergence of …
Towards efficient airline disruption recovery with reinforcement learning
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 …
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 …
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
Abstract Generative Artificial Intelligence (Gen AI) is an up-and-coming technological
innovation that has the potential to revolutionise businesses and create significant value …
innovation that has the potential to revolutionise businesses and create significant value …