Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review

A Jimeno-Morenilla, P Azariadis, R Molina-Carmona… - Computers in …, 2021 - Elsevier
The traditional manufacturing sectors (footwear, textiles and clothing, furniture and toys,
among others) are based on small and medium enterprises with limited capacity on …

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

MK Thompson, G Moroni, T Vaneker, G Fadel… - CIRP annals, 2016 - Elsevier
The past few decades have seen substantial growth in Additive Manufacturing (AM)
technologies. However, this growth has mainly been process-driven. The evolution of …

Cloud manufacturing architectures: State-of-art, research challenges and platforms description

S Chiappa, E Videla, V Viana-Céspedes… - Journal of Industrial …, 2023 - Elsevier
The increasing incorporation of digital technologies in industrial systems in recent years,
and their corresponding connection to the Internet of Things, has made it possible to offer …

Mass personalisation as a service in industry 4.0: A resilient response case study

S Aheleroff, N Mostashiri, X Xu, RY Zhong - Advanced Engineering …, 2021 - Elsevier
Abstract The Fourth Industrial Revolution (Industry 4.0) leads to mass personalisation as an
emerging manufacturing paradigm. Mass personalisation focuses on uniquely made …

Cloud-based cyber-physical systems and quality of services

D Mourtzis, E Vlachou - The TQM Journal, 2016 - emerald.com
Purpose–The purpose of this paper is to review and explore the evolution, advances and
future trends of cloud manufacturing, placing the focus on the quality of services. Moreover …

Cloud manufacturing: latest advancements and future trends

Y Liu, L Wang, XV Wang - Procedia Manufacturing, 2018 - Elsevier
Cloud manufacturing as a new manufacturing paradigm has been attracted a large amount
of research interest. More than eight hundred papers have been published on cloud …

The future of factories: different trends

G Salierno, L Leonardi, G Cabri - Applied Sciences, 2021 - mdpi.com
The technological advancements promote the rise of the fourth industrial revolution, where
key terms are efficiency, innovation, and enterprises' digitalization. Market globalization …

Concurrent local search for process planning and scheduling in the industrial Internet-of-Things environment

Y Laili, C Peng, Z Chen, F Ye, L Zhang - Journal of Industrial Information …, 2022 - Elsevier
Process planning and scheduling is one of the key factors to influence manufacturing quality
and efficiency. The Industrial Internet-of-Things is built up to enable intelligent sharing of …

Urgent task-aware cloud manufacturing service composition using two-stage biogeography-based optimisation

Y Wang, Z Dai, W Zhang, S Zhang, Y Xu… - International Journal of …, 2018 - Taylor & Francis
Optimal service composition is a critical issue in cloud manufacturing systems. However,
unpredictable dynamic factors, such as urgent task request occurring during the production …

Intelligent production planning and control in the cloud–towards a scalable software architecture

S Erol, W Sihn - Procedia Cirp, 2017 - Elsevier
Today's manufacturing companies are undergoing a transformation towards increased
digitalization, automation of manufacturing processes and as well new forms of …