Digital twin-based sustainable intelligent manufacturing: a review

B He, KJ Bai - Advances in Manufacturing, 2021 - Springer
As the next-generation manufacturing system, intelligent manufacturing enables better
quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept …

Human–robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017

A Hentout, M Aouache, A Maoudj, I Akli - Advanced Robotics, 2019 - Taylor & Francis
Currently, a large number of industrial robots have been deployed to replace or assist
humans to perform various repetitive and dangerous manufacturing tasks. However, based …

Designing and develo** smart production planning and control systems in the industry 4.0 era: a methodology and case study

OE Oluyisola, S Bhalla, F Sgarbossa… - Journal of Intelligent …, 2022 - Springer
In furtherance of emerging research within smart production planning and control (PPC), this
paper prescribes a methodology for the design and development of a smart PPC system. A …

Industry 4.0: contributions of holonic manufacturing control architectures and future challenges

W Derigent, O Cardin, D Trentesaux - Journal of Intelligent Manufacturing, 2021 - Springer
The flexibility claimed by the next generation production systems induces a deep
modification of the behaviour and the core itself of the control systems. Over-connectivity and …

Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system

YG Kim, S Lee, J Son, H Bae, B Do Chung - Journal of Manufacturing …, 2020 - Elsevier
Personalized production has emerged as a result of the increasing customer demand for
more personalized products. Personalized production systems carry a greater amount of …

[HTML][HTML] A review of optimization models and applications in robotic manufacturing systems: Industry 4.0 and beyond

B Vaisi - Decision analytics journal, 2022 - Elsevier
In this review paper, recent developments in robotic problems are cited. A robotic
manufacturing system includes at least a robot-as a material handling device-, a co-worker …

Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling

X **g, X Yao, M Liu, J Zhou - Journal of Intelligent Manufacturing, 2024 - Springer
With the development of Internet of manufacturing things, decentralized scheduling in
flexible job shop is arousing great attention. To deal with the challenges confronted by …

The capacitated multi-AGV scheduling problem with conflicting products: Model and a decentralized multi-agent approach

A Maoudj, A Kouider, AL Christensen - Robotics and Computer-Integrated …, 2023 - Elsevier
Automated guided vehicles (AGVs) are a key technology to facilitate flexible production
systems in the context of Industry 4.0. This paper investigates an optimization model and a …

[HTML][HTML] Decentralized learning multi-agent system for online machine shop scheduling problem

JBHC Didden, QV Dang, IJBF Adan - Journal of Manufacturing Systems, 2023 - Elsevier
Customer profiles have rapidly changed over the past few years, with products being
requested with more customization and with lower demand. In addition to the advances in …

Hypergraphical real-time multirobot task allocation in a smart factory

Z Nie, KC Chen - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
To facilitate Industry 4.0 and smart manufacturing, smart factories shall flexibly achieve mass
manufacture of on-demand individualized products. Reconfigurable multirobot system …