Despite the hype surrounding Industry 5.0 and its importance for sustainability, the micro- mechanisms through which this agenda can lead to socio-environmental values are largely …
Purpose The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4. 0) in achieving manufacturing …
Digitalization through Industry 4.0 technologies is one of the essential steps for the complete collaboration, communication, and integration of heterogeneous resources in a …
J Wu, K Lin, J Sun - Computers & Industrial Engineering, 2023 - Elsevier
In the pursuit of carbon neutrality goals, the manufacturing industry is compelled to adopt smart manufacturing practices to comply with environmental regulations. Smart …
Production firms are increasingly rushing to develop digital-technology-enabled capabilities. However, little is known whether companies show consistent capability development …
With the emergence of Industry 5.0 and an increasing focus on human-centric approaches in manufacturing, the analysis of workers in production systems has gathered significant …
Data-driven simulation (DDS) is fundamental to analytical and decision-support technologies in Industry 4.0 and smart manufacturing. This study investigates the potential of …
ER Zúñiga, N Yasue, T Hirose, H Nomoto… - Decision Analytics …, 2023 - Elsevier
Abstract In the Industry 4.0 era, advanced analytical tools are essential for progressing with digital transformation, especially within complex socio-technical systems. However, the …
This paper introduces the Theory of AI-driven scheduling (TAIS), an innovative framework designed to revolutionise service-oriented scheduling (In the context of this paper,'service …