Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review

MW Ahmed, SJ Hossainy… - … Reviews in Food …, 2023 - Wiley Online Library
The egg is considered one of the best sources of dietary protein, and has an important role
in human growth and development. With the increase in the world's population, per capita …

[HTML][HTML] Industry 5.0 implications for inclusive sustainable manufacturing: An evidence-knowledge-based strategic roadmap

M Ghobakhloo, M Iranmanesh, B Foroughi… - Journal of Cleaner …, 2023 - Elsevier
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 …

Are metaverse applications in quality 4.0 enablers of manufacturing resiliency? An exploratory review under disruption impressions and future research

A El Jaouhari, J Arif, A Samadhiya, A Kumar, V Jain… - The TQM …, 2024 - emerald.com
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 …

[HTML][HTML] A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks

M Kumbhar, AHC Ng, S Bandaru - Journal of manufacturing systems, 2023 - Elsevier
Digitalization through Industry 4.0 technologies is one of the essential steps for the complete
collaboration, communication, and integration of heterogeneous resources in a …

Pressure or motivation? The effects of low-carbon city pilot policy on China's smart manufacturing

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 …

Digital technology-enabled capability development pathways

M Vilkas, A Stefanini, M Ghobakhloo… - Computers & Industrial …, 2024 - Elsevier
Production firms are increasingly rushing to develop digital-technology-enabled capabilities.
However, little is known whether companies show consistent capability development …

[HTML][HTML] Analyzing resilient performance of workers with multiple disturbances in production systems

N Yasue, E Mahmoodi, ER Zúñiga, M Fathi - Applied Ergonomics, 2025 - Elsevier
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 …

[HTML][HTML] Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing

E Mahmoodi, M Fathi, M Tavana, M Ghobakhloo… - Journal of manufacturing …, 2024 - Elsevier
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 …

[HTML][HTML] An integrated discrete-event simulation with functional resonance analysis and work domain analysis methods for industry 4.0 implementation

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 …

Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI

M Khakifirooz, M Fathi, A Dolgui - International Journal of …, 2024 - Taylor & Francis
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 …