Smart manufacturing powered by recent technological advancements: A review

S Sahoo, CY Lo - Journal of Manufacturing Systems, 2022‏ - Elsevier
Smart manufacturing has attracted significant attention from both researchers and
manufacturing experts owing to its capability of accomplish the goals of Industry 4.0. It …

The smart factory as a key construct of industry 4.0: A systematic literature review

P Osterrieder, L Budde, T Friedli - International Journal of Production …, 2020‏ - Elsevier
Industry 4.0 is a ubiquitous term throughout general newspapers, on company websites or in
scientific journals. One of its key constructs is the smart factory, envisioned as a future state …

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 …

Logistics 4.0: a systematic review towards a new logistics system

S Winkelhaus, EH Grosse - International Journal of Production …, 2020‏ - Taylor & Francis
Enterprises are confronted with new customer requirements and challenged by global
competition leading to fundamental changes of today's industry. Against this background, at …

Big data driven supply chain design and applications for blockchain: An action research using case study approach

B Sundarakani, A Ajaykumar, A Gunasekaran - Omega, 2021‏ - Elsevier
Blockchain appears to still be nascent in its growth and a relatively untapped asset. This
research investigates the need of blockchain in Industry 4.0 environment from Big Data …

Data science and big data analytics: A systematic review of methodologies used in the supply chain and logistics research

H Jahani, R Jain, D Ivanov - Annals of Operations Research, 2023‏ - Springer
Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

Big data and predictive analytics and manufacturing performance: integrating institutional theory, resource‐based view and big data culture

R Dubey, A Gunasekaran, SJ Childe… - British Journal of …, 2019‏ - Wiley Online Library
The importance of big data and predictive analytics has been at the forefront of research for
operations and manufacturing management. The literature has reported the influence of big …

Impacts of Industry 4.0 technologies on Lean principles

F Rosin, P Forget, S Lamouri… - International Journal of …, 2020‏ - Taylor & Francis
Industry 4.0 is increasingly being promoted as the key to improving productivity, promoting
economic growth and ensuring the sustainability of manufacturing companies. On the other …

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 …

[HTML][HTML] Intelligent manufacturing in the context of industry 4.0: a review

RY Zhong, X Xu, E Klotz, ST Newman - Engineering, 2017‏ - Elsevier
Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in
manufacturing, along with mass customization, better quality, and improved productivity. It …