Smart logistics based on the internet of things technology: an overview

Y Ding, M **, S Li, D Feng - International Journal of Logistics …, 2021 - Taylor & Francis
Smart logistics is an effective way to meet the challenges of fast-changing customer
expectations, take opportunities brought by new technologies, and facilitate new business …

Applications of the Internet of Things (IoT) in smart logistics: A comprehensive survey

Y Song, FR Yu, L Zhou, X Yang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Logistics is a driver of countries' and firms' competitiveness and plays a vital role in
economic growth. However, the current logistics industry still faces high costs and low …

Big data analytics in supply chain management between 2010 and 2016: Insights to industries

S Tiwari, HM Wee, Y Daryanto - Computers & Industrial Engineering, 2018 - Elsevier
This paper investigates big data analytics research and application in supply chain
management between 2010 and 2016 and provides insights to industries. In recent years …

[HTML][HTML] Emerging technologies for smart cities' transportation: geo-information, data analytics and machine learning approaches

KLM Ang, JKP Seng, E Ngharamike… - … International Journal of …, 2022 - mdpi.com
With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

[HTML][HTML] Artificial intelligence in logistics optimization with sustainable criteria: A review

W Chen, Y Men, N Fuster, C Osorio, AA Juan - Sustainability, 2024 - mdpi.com
In recent years, the integration of artificial intelligence (AI) into logistics optimization has
gained significant attention, particularly concerning sustainability criteria. This article …

Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model

S Chehbi-Gamoura, R Derrouiche… - … Planning & Control, 2020 - Taylor & Francis
When supply chain management (SCM) intersects with Big Data Analytics (BDA),
uncountable opportunities for research emerge. Unfortunately, how analytics can be applied …

Enablers to supply chain performance on the basis of digitization technologies

H Gupta, S Kumar, S Kusi-Sarpong… - … Management & Data …, 2021 - emerald.com
Purpose The aim of this study is to identify and prioritize a list of key digitization enablers that
can improve supply chain management (SCM). SCM is an important driver for organization's …

Big data processing and analysis in internet of vehicles: architecture, taxonomy, and open research challenges

A Arooj, MS Farooq, A Akram, R Iqbal… - … Methods in Engineering, 2022 - Springer
The extensive progression in the Internet of Vehicles (IoV) and the exponential upsurge in
data consumption reflect the importance of big data in IoV. In general, big data has gained a …

Real-time predictive maintenance for wind turbines using Big Data frameworks

M Canizo, E Onieva, A Conde… - … on prognostics and …, 2017 - ieeexplore.ieee.org
This work presents the evolution of a solution for predictive maintenance to a Big Data
environment. The proposed adaptation aims for predicting failures on wind turbines using a …

A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018

Z Inamdar, R Raut, VS Narwane, B Gardas… - Journal of Enterprise …, 2021 - emerald.com
Purpose The volume of data being generated by various sectors in recent years has
increased exponentially. Consequently, professionals struggle to process essential data in …