A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems

C Renzi, F Leali, M Cavazzuti, AO Andrisano - The International Journal of …, 2014 - Springer
Reconfigurable manufacturing systems (RMS) are considered the future of manufacturing,
being able to overcome both dedicated (DMS) and flexible manufacturing systems (FMS). In …

Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems

J Leng, M Zhou, Y Xiao, H Zhang, Q Liu, W Shen… - Journal of Cleaner …, 2021 - Elsevier
The COVID-19 has become a global pandemic that dramatically impacted human lives and
economic activities. Due to the high risk of getting affected in high-density population areas …

A digital twin emulator of a modular production system using a data-driven hybrid modeling and simulation approach

K Mykoniatis, GA Harris - Journal of Intelligent Manufacturing, 2021 - Springer
Virtual commissioning is a key technology in Industry 4.0 that can address issues faced by
engineers during early design phases. The process of virtual commissioning involves the …

A framework to design a human-centred adaptive manufacturing system for aging workers

M Peruzzini, M Pellicciari - Advanced Engineering Informatics, 2017 - Elsevier
The so-called smart manufacturing systems (SMS) combine smart manufacturing
technologies, cyber-physical infrastructures, and data control to realize predictive and …

An online machine learning framework for early detection of product failures in an Industry 4.0 context

JA Carvajal Soto, F Tavakolizadeh… - International Journal of …, 2019 - Taylor & Francis
Current paradigms such as the Internet of Things (IoT) and cyber-physical systems are
transforming production environments, where related processes are not only faster and with …

Mechatronics: A Study on Its Scientific Constitution and Association with Innovative Products

AC Cintra Faria, SCM Barbalho - Applied System Innovation, 2023 - mdpi.com
Mechatronics as a science is a synergic combination of mechanical engineering, electronic
control, and software design in product development and manufacturing processes. To …

Modeling and optimization of energy consumption in cooperative multi-robot systems

A Vergnano, C Thorstensson… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Reduction of energy consumption is important for reaching a sustainable future. This paper
presents a novel method for optimizing the energy consumption of robotic manufacturing …

[HTML][HTML] Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing

A de Giorgio, A Maffei, M Onori, L Wang - Journal of manufacturing systems, 2021 - Elsevier
Literature shows that reinforcement learning (RL) and the well-known optimization
algorithms derived from it have been applied to assembly sequence planning (ASP); …

Deployment of Interpretive Structural Modeling in barriers to Industry 4.0: A case of small and medium enterprises

P Goel, R Kumar, HK Banga, S Kaur, R Kumar… - Journal of Risk and …, 2022 - mdpi.com
Small and medium enterprises (SMEs) are vital contributors and significant drivers of any
manufacturing sector. The Industry 4.0 (I 4.0) revolution has made the global economy …

A workcell calibration method for enhancing accuracy in robot machining of aerospace parts

F Leali, A Vergnano, F Pini, M Pellicciari… - The International Journal …, 2016 - Springer
Industrial robotics provides high flexibility and reconfigurability supported by a user-friendly
programming, but still lacks in accuracy. An effective workcell calibration reduces errors in …