[HTML][HTML] A review of industrial big data for decision making in intelligent manufacturing

C Li, Y Chen, Y Shang - … Science and Technology, an International Journal, 2022 - Elsevier
Under the trend of economic globalization, intelligent manufacturing has attracted a lot of
attention from academic and industry. Related enabling technologies make manufacturing …

[HTML][HTML] Internet of Things is a revolutionary approach for future technology enhancement: a review

S Kumar, P Tiwari, M Zymbler - Journal of Big data, 2019 - Springer
Internet of Things (IoT) is a new paradigm that has changed the traditional way of living into
a high tech life style. Smart city, smart homes, pollution control, energy saving, smart …

Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: a position paper

F Psarommatis, J Sousa, JP Mendonça… - International Journal of …, 2022 - Taylor & Francis
For manufacturing companies, quality management is a key feature for increasing the
competitiveness, productivity, profitability, and sustainability of their systems. Quality …

Design of a smart factory based on cyber-physical systems and Internet of Things towards Industry 4.0

M Ryalat, H ElMoaqet, M AlFaouri - Applied Sciences, 2023 - mdpi.com
The rise of Industry 4.0, which employs emerging powerful and intelligent technologies and
represents the digital transformation of manufacturing, has a significant impact on society …

Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection

L Sun, Z Shang, Y Xia, S Bhowmick… - Journal of Structural …, 2020 - ascelibrary.org
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

[HTML][HTML] Scanning the industry 4.0: A literature review on technologies for manufacturing systems

V Alcácer, V Cruz-Machado - Engineering science and technology, an …, 2019 - Elsevier
Industry 4.0 leads to the digitalization era. Everything is digital; business models,
environments, production systems, machines, operators, products and services. It's all …

Prerequisites for the adoption of AI technologies in manufacturing–Evidence from a worldwide sample of manufacturing companies

S Kinkel, M Baumgartner, E Cherubini - Technovation, 2022 - Elsevier
Abstract In current discussions, Artificial Intelligence (AI) is ascribed great influence on
production processes. Research on AI has seen tremendous growth in recent years …

Recent advances on industrial data-driven energy savings: Digital twins and infrastructures

SY Teng, M Touš, WD Leong, BS How, HL Lam… - … and Sustainable Energy …, 2021 - Elsevier
Data-driven models for industrial energy savings heavily rely on sensor data,
experimentation data and knowledge-based data. This work reveals that too much research …

Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison

Q Qi, F Tao - Ieee Access, 2018 - ieeexplore.ieee.org
With the advances in new-generation information technologies, especially big data and
digital twin, smart manufacturing is becoming the focus of global manufacturing …

Data-driven smart manufacturing

F Tao, Q Qi, A Liu, A Kusiak - Journal of Manufacturing Systems, 2018 - Elsevier
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …