Upgrading models, evolutionary mechanisms and vertical cases of service-oriented manufacturing in SVC leading enterprises: Product-development and service …

H Liu, H Zhao - Humanities and Social Sciences Communications, 2022 - nature.com
Abstract To address Industry 4.0, service-oriented manufacturing unifies the development
track of product development and service innovation and constructs a high-quality …

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 …

Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns

C Luo, W Gong, C Lu - Expert Systems with Applications, 2024 - Elsevier
This paper focuses on the multi-objective energy-efficient flexible job shop scheduling
problem with machine breakdowns. To mitigate the impact of machine breakdowns, a …

[HTML][HTML] Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach

C Latsou, M Farsi, JA Erkoyuncu - Journal of Manufacturing Systems, 2023 - Elsevier
Digital twin (DT) models are increasingly being used to improve the performance of complex
manufacturing systems. In this context, DTs automatically enabling anomaly detection, such …

[HTML][HTML] A unified framework for digital twin development in manufacturing

C Latsou, D Ariansyah, L Salome, JA Erkoyuncu… - Advanced Engineering …, 2024 - Elsevier
The concept of digital twin (DT) is undergoing rapid transformation and attracting increased
attention across industries. It is recognised as an innovative technology offering real-time …

[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 …

Dynamic scheduling method for job-shop manufacturing systems by deep reinforcement learning with proximal policy optimization

M Zhang, Y Lu, Y Hu, N Amaitik, Y Xu - sustainability, 2022 - mdpi.com
With the rapid development of Industrial 4.0, the modern manufacturing system has been
experiencing profoundly digital transformation. The development of new technologies helps …

Machine learning-supported manufacturing: A review and directions for future research

B Ördek, Y Borgianni, E Coatanea - Production & Manufacturing …, 2024 - Taylor & Francis
The evolution of manufacturing systems toward Industry 4.0 and 5.0 paradigms has pushed
the diffusion of Machine Learning (ML) in this field. As the number of articles using ML to …

Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning

Z Wang, W Liao - Journal of Intelligent Manufacturing, 2024 - Springer
In the era of Industry 4.0, production scheduling as a critical part of manufacturing system
should be smarter. Smart scheduling agent is required to be real-time autonomous and …

Predictive models in digital manufacturing: research, applications, and future outlook

A Kusiak - International Journal of Production Research, 2023 - Taylor & Francis
Data has become a high-value commodity in manufacturing. There is a growing realisation
that the data-driven applications could become strong differentiators of manufacturing …