Manufacturing big data ecosystem: A systematic literature review

Y Cui, S Kara, KC Chan - Robotics and computer-integrated Manufacturing, 2020 - Elsevier
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

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 …

Big Data and cloud computing: innovation opportunities and challenges

C Yang, Q Huang, Z Li, K Liu, F Hu - International Journal of Digital …, 2017 - Taylor & Francis
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

Understanding cloud-native applications after 10 years of cloud computing-a systematic map** study

N Kratzke, PC Quint - Journal of Systems and Software, 2017 - Elsevier
It is common sense that cloud-native applications (CNA) are intentionally designed for the
cloud. Although this understanding can be broadly used it does not guide and explain what …

A review of cyber-physical system research relevant to the emerging IT trends: industry 4.0, IoT, big data, and cloud computing

JH Kim - Journal of industrial integration and management, 2017 - World Scientific
Recently, there has been an explosive growth in the development and implementation of
various Cyber-Physical Systems (CPS). Accordingly, CPS-related research and …

Leveraging the capabilities of industry 4.0 for improving energy efficiency in smart factories

N Mohamed, J Al-Jaroodi, S Lazarova-Molnar - Ieee Access, 2019 - ieeexplore.ieee.org
Factories use many manufacturing processes that consume a lot of energy and highly
contribute to greenhouse gas emissions. The introduction of the concept of Industrial Internet …

Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems

MA Bermeo-Ayerbe, C Ocampo-Martinez, J Diaz-Rozo - Energy, 2022 - Elsevier
The optimization and monitoring of the energy consumption of machinery lead to a
sustainable and efficient industry. For this reason and following a digital twin strategy, an …

Big data applications to take up major challenges across manufacturing industries: A brief review

M Azeem, A Haleem, S Bahl, M Javaid… - Materials Today …, 2022 - Elsevier
Growing population and depleting resources are forcing the manufacturers to become more
competent and sustainable. Customers are becoming more and more informed about the …

Delay mitigation in offloaded cloud controllers in industrial IoT

S Mubeen, P Nikolaidis, A Didic, H Pei-Breivold… - IEEE …, 2017 - ieeexplore.ieee.org
This paper investigates the interplay of cloud computing, fog computing, and Internet of
Things (IoT) in control applications targeting the automation industry. In this context, a …

Internet of Things (IoT) and the digital business environment: a standpoint inclusive cyber space, cyber crimes, and cybersecurity

A Nayyar, R Rameshwar, A Solanki - … of business in the cyber age, 2020 - taylorfrancis.com
Internet of Things (IoT) has a strong backbone support via enhanced developments in the
area of RFID, smart sensors, communication technologies, and internet protocols. The …