Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries are focusing on improving product consistency, productivity and reducing operating costs …
With the arrival of new technologies in modern smart factories, automated predictive maintenance is also related to production robotisation. Intelligent sensors make it possible to …
The technological development eg in terms of Industry 4.0 is moving rapidly enabling manufacturing companies with new possibilities for digital transformations to offer products …
Industry 4.0 leads to the digitalization era. Everything is digital; business models, environments, production systems, machines, operators, products and services. It's all …
I de la Peña Zarzuelo, MJF Soeane… - Journal of Industrial …, 2020 - Elsevier
Ports and terminals have evolved and from the 2010s have entered into a fifth stage of evolution characterized by their digital transformation and alignment with Industry 4.0 …
D Zouari, S Ruel, L Viale - … Journal of Physical Distribution & Logistics …, 2021 - emerald.com
Purpose Supply chain resilience (SCR) is a key concept for managers who wish to develop the capacity to enhance their supply chain's (SC's) ability to cope with unexpected …
M Ghobakhloo - Journal of manufacturing technology management, 2018 - emerald.com
Purpose The purpose of this paper is to conduct a state-of-the-art review of the ongoing research on the Industry 4.0 phenomenon, highlight its key design principles and technology …
The European Foundation for Quality Management (EFQM) 2020 model is a comprehensive and updated business model that encompasses sustainability and shares features with …
Abstract Total Productive Maintenance (TPM), an important maintenance management approach grounded on lean principles, has found widespread applicability in the …