Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives

RY Zhong, ST Newman, GQ Huang, S Lan - Computers & Industrial …, 2016 - Elsevier
Data from service and manufacturing sectors is increasing sharply and lifts up a growing
enthusiasm for the notion of Big Data. This paper investigates representative Big Data …

A state of the art of predictive maintenance techniques

P Coandă, M Avram, V Constantin - IOP Conference Series …, 2020 - iopscience.iop.org
Nowadays in industry there is a great and increasing demand in resource management,
taking into consideration the ever-growing complexity of technical systems. The concept of …

[HTML][HTML] Review of dimension reduction methods

S Nanga, AT Bawah, BA Acquaye, MI Billa… - Journal of Data Analysis …, 2021 - scirp.org
Purpose: This study sought to review the characteristics, strengths, weaknesses variants,
applications areas and data types applied on the various Dimension Reduction techniques …

Maintenance 4.0: implementation challenges and its analysis

AT James, G Kumar, AQ Khan, M Asjad - International Journal of …, 2023 - emerald.com
Purpose The purpose of this paper is to identify and analyze the challenges associated with
the implementation of the concept of Maintenance 4.0 in industries. Design/methodology …

Geospatial big data: New paradigm of remote sensing applications

X Deng, P Liu, X Liu, R Wang, Y Zhang… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
The rapid development of information technology and location techniques not only leads to
an increasing growth of massive geospatial big data but also raises the attention of using …

[PDF][PDF] Cloud computing and big data is there a relation between the two: a study

N Zanoon, A Al-Haj, SM Khwaldeh - International Journal of Applied …, 2017 - academia.edu
Communicating by using information technology in various ways produces big amounts of
data. Such data requires processing and storage. The cloud is an online storage model …

Progress on artificial neural networks for big data analytics: a survey

H Chiroma, UA Abdullahi, AA Alarood… - IEEE …, 2018 - ieeexplore.ieee.org
Approximately 2.5 quintillion bytes of data are emitted on a daily basis, and this has brought
the world into the era of “big data.” Artificial neural networks (ANNs) are known for their …

How can big data analytics improve outbound logistics in the UK retail sector? A qualitative study

M Ali, A Essien - Journal of Enterprise Information Management, 2023 - emerald.com
Purpose The purpose of this study is to explore how big data analytics (BDA) as a potential
information technology (IT) innovation can facilitate the retail logistics supply chain (SC) from …

[PDF][PDF] Big data analysis and storage

KAI Hammad, MAI Fakharaldien, J Zain… - … excellence and service …, 2015 - researchgate.net
While technologies to build and run big data projects have started to mature and proliferate
over the last couple of years, exploiting all potentials of big data is still at a relatively early …

Data reduction in big data: a survey of methods, challenges and future directions

TT Khoei, A Singh - International Journal of Data Science and Analytics, 2024 - Springer
Data reduction plays a pivotal role in managing and analyzing big data, which is
characterized by its volume, velocity, variety, veracity, value, variability, and visibility …