Smart manufacturing powered by recent technological advancements: A review

S Sahoo, CY Lo - Journal of Manufacturing Systems, 2022‏ - Elsevier
Smart manufacturing has attracted significant attention from both researchers and
manufacturing experts owing to its capability of accomplish the goals of Industry 4.0. It …

[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

F Psarommatis, G May, V Azamfirei - Journal of Manufacturing Systems, 2023‏ - Elsevier
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …

A literature review and design methodology for digital twins in the era of zero defect manufacturing

F Psarommatis, G May - International Journal of Production …, 2023‏ - Taylor & Francis
In this paper, we analyze the literature concerning the implementation of digital twins (DTs)
for zero-defect manufacturing (ZDM) following a systematic method and, guided by a …

Leveraging digital twin into dynamic production scheduling: A review

N Ouahabi, A Chebak, O Kamach, O Laayati… - Robotics and Computer …, 2024‏ - Elsevier
The digital twin is an emerging technology that enhances industrial digitalization, as it
establishes a dynamic virtual model that emulates a specific phenomenon of the …

[HTML][HTML] A review of deep reinforcement learning approaches for smart manufacturing in industry 4.0 and 5.0 framework

A del Real Torres, DS Andreiana, Á Ojeda Roldán… - Applied Sciences, 2022‏ - mdpi.com
In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …

[HTML][HTML] The adoption of digital technologies in the manufacturing world and their evaluation: A systematic review of real-life case studies and future research agenda

L Maretto, M Faccio, D Battini - Journal of Manufacturing Systems, 2023‏ - Elsevier
In the last decade, digitalization has transformed industrial systems worldwide and digital
technologies have increasingly been implemented in many different ways in the …

[HTML][HTML] Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions

RX Gao, J Krüger, M Merklein, HC Möhring, J Váncza - CIRP Annals, 2024‏ - Elsevier
Inspired by the natural intelligence of humans and bio-evolution, Artificial Intelligence (AI)
has seen accelerated growth since the beginning of the 21st century. Successful AI …

[HTML][HTML] Job shop smart manufacturing scheduling by deep reinforcement learning

JC Serrano-Ruiz, J Mula, R Poler - Journal of Industrial Information …, 2024‏ - Elsevier
Smart manufacturing scheduling (SMS) requires a high degree of flexibility to successfully
cope with changes in operational decision level planning processes in today's production …

[HTML][HTML] Artificial intelligence to solve production scheduling problems in real industrial settings: Systematic Literature Review

M Del Gallo, G Mazzuto, FE Ciarapica, M Bevilacqua - Electronics, 2023‏ - mdpi.com
This literature review examines the increasing use of artificial intelligence (AI) in
manufacturing systems, in line with the principles of Industry 4.0 and the growth of smart …

[HTML][HTML] Development of a multidimensional conceptual model for job shop smart manufacturing scheduling from the Industry 4.0 perspective

JC Serrano-Ruiz, J Mula, R Poler - Journal of Manufacturing Systems, 2022‏ - Elsevier
Based on a scientific literature review in the conceptual domain defined by smart
manufacturing scheduling (SMS), this article identifies the benefits and limitations of the …