5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything

A Dolgui, D Ivanov - International Journal of Production Research, 2022 - Taylor & Francis
5G technology enables end-to-end connectivity in real time at a highly granular level along
with the associated end-to-end visibility through the Internet-of-Everything. While some …

From assistive technology to the backbone: the impact of blockchain in manufacturing

MR Nair, N Bindu, R Jose, K Satheesh Kumar - Evolutionary Intelligence, 2024 - Springer
Blockchain refers to a collection of digitally connected applications originated to enable
secure financial transactions but soon has evolved as a reliable tool for secure data …

The ASSISTANT project: AI for high level decisions in manufacturing

G Castañé, A Dolgui, N Kousi, B Meyers… - … Journal of Production …, 2023 - Taylor & Francis
This paper outlines the main idea and approach of the H2020 ASSISTANT (LeArning and
robuSt deciSIon SupporT systems for agile mANufacTuring environments) project …

Critical success factors for 5G technology adaptation in supply chains

S Biswas, A Sanyal, D Božanić, A Puška, D Marinković - Sustainability, 2023 - mdpi.com
The present age is moving through Industry 4.0 with massive technological developments.
Supply chains have become digital, keeping sync with consumer demands and preferences …

Manufacturing in the age of human-centric and sustainable industry 5.0: application to holonic, flexible, reconfigurable and smart manufacturing systems

C Turner, J Oyekan - Sustainability, 2023 - mdpi.com
This paper provides a classification of manufacturing types in terms of new technological
tools provided in the Industry 5.0 framework. The manufacturing types agile, holonic, flexible …

Digital twin empowering manufacturing paradigms: lean, agile, Just-in-Time (Jit), flexible, resilience, sustainable

Q Qu, SMH Bamakan, SM Zanjirchi - Procedia Computer Science, 2023 - Elsevier
Digital twin technology can be used to support various manufacturing approaches, including
Lean, Agile, just-in-time, Flexible, Resilience and Sustainable production. By providing a …

Towards a knowledge graph framework for ad hoc analysis in manufacturing

B Meyers, H Vangheluwe, P Lietaert… - Journal of Intelligent …, 2024 - Springer
The development of artificial intelligence models for data driven decision making has a lot of
potential for the manufacturing sector. Nevertheless, applications in industry are currently …

Knowledge graphs in digital twins for manufacturing-lessons learned from an industrial case at Atlas Copco Airpower

B Meyers, J Van Noten, P Lietaert, B Tielemans… - IFAC-PapersOnLine, 2022 - Elsevier
In this paper we introduce an architecture for a cognitive digital twin that uses an ontology-
based knowledge graph to improve the analysis of manufacturing systems. The architecture …

Predicting makespan in flexible job shop scheduling problem using machine learning

D Tremblet, S Thevenin, A Dolgui - IFAC-PapersOnLine, 2022 - Elsevier
Abstract Machine learning tools have experienced a growing interest in the early 2010s,
providing efficient predictive approaches for artificial intelligence and statistical analysis …

Digital Twins in the Manufacturing Industry

DR Gunasegaram - Handbook of Digital Twins, 2024 - taylorfrancis.com
The introduction of machines transformed the manufacturing industry, which achieved
further gains in productivity through the addition of electrification and automation [1]. It is now …