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Results: 12
Product-service systems evolution in the era of Industry 4.0
Paolo Gaiardelli, Giuditta Pezzotta, Alice Rondini, David Romero, Farnaz Jarrahi, Marco Bertoni, Stefan Wiesner, Thorsten Wuest, Tobias Larsson, Mohamed Zaki, Philipp Jussen, Xavier Boucher, Ali Z. Bigdeli, Sergio Cavalieri
Feb 23, 2021
Software-defined cloud manufacturing for industry 4.0
Many of the world’s leading industrial nations have invested in national initiatives to foster advanced manufacturing, innovation,and design for the globalized world. Much of this investment has been driven by visions such as...
Harnessing the Power of Digital Twins for Enhanced Material Behavior Prediction and Manufacturing Process Optimization in Materials Engineering
Erkan Tur
Dec 31, 2023
The advent of Industry 4.0 and the digital revolution have brought forth innovative technologies such as digital twins, which have the potential to redefine the landscape of materials engineering. Digital twins, virtual...
On Servitization of the Manufacturing Industry in the UK
For a number of years, an increase in manufacturing-related service activities being provided by third parties rather than “in-house”
departments has been observed. This trend appears to be strengthening in the context of...
departments has been observed. This trend appears to be strengthening in the context of...
Software-defined cloud manufacturing for industry 4.0
Many of the world’s leading industrial nations have invested in national initiatives to foster advanced manufacturing, innovation,and design for the globalized world. Much of this investment has been driven by visions such as...
Supply Chain Operations Management in Pandemics
Pandemics cause chaotic situations in supply chains (SC) around the globe, which can lead towards survivability challenges. The ongoing COVID-19 pandemic is an unprecedented humanitarian crisis that has severely affected...
Energy reduction with super-resolution convolutional neural network for ultrasound tomography
Daruisz Wójcik, Tomasz Rymarczyk, Bartosz Przysucha, Michal Golabek, Dariusz Majerek, Tomasz Warowny, Manuchehr Soleimani
Feb 01, 2023
This study addresses the issue of energy optimization by investigating solutions for the reduction of energy consumption in the diagnostics and monitoring of technological processes. The implementation of advanced process...
Deep learning Energy consumption energy optimization Industry 4.0 inverse problems Machine Learning Tomography /dk/atira/pure/subjectarea/asjc/2600/2606 name=Control and Optimization /dk/atira/pure/subjectarea/asjc/2100/2101 name=Energy (miscellaneous) /dk/atira/pure/subjectarea/asjc/2200/2201 name=Engineering (miscellaneous) /dk/atira/pure/subjectarea/asjc/2100/2102 name=Energy Engineering and Power Technology /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/2200/2215 name=Building and Construction /dk/atira/pure/subjectarea/asjc/2100/2103 name=Fuel Technology /dk/atira/pure/subjectarea/asjc/2100/2105 name=Renewable Energy, Sustainability and the Environment /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
Impeding challenges on industry 4.0 in circular economy
This study contributes to identifying valid barriers and proposes a model to understand the challenges to Industry 4.0 in circular economy to obtain social, economic and environmental benefits in practice. Industry 4.0 and...
On Servitization of the Manufacturing Industry in the UK
For a number of years, an increase in manufacturing-related service activities being provided by third parties rather than “in-house”
departments has been observed. This trend appears to be strengthening in the context of...
departments has been observed. This trend appears to be strengthening in the context of...
Harnessing the Power of Digital Twins for Enhanced Material Behavior Prediction and Manufacturing Process Optimization in Materials Engineering
Erkan Tur
Dec 31, 2023
The advent of Industry 4.0 and the digital revolution have brought forth innovative technologies such as digital twins, which have the potential to redefine the landscape of materials engineering. Digital twins, virtual...
Energy reduction with super-resolution convolutional neural network for ultrasound tomography
Daruisz Wójcik, Tomasz Rymarczyk, Bartosz Przysucha, Michal Golabek, Dariusz Majerek, Tomasz Warowny, Manuchehr Soleimani
Feb 01, 2023
This study addresses the issue of energy optimization by investigating solutions for the reduction of energy consumption in the diagnostics and monitoring of technological processes. The implementation of advanced process...
Deep learning Energy consumption energy optimization Industry 4.0 inverse problems Machine Learning Tomography /dk/atira/pure/subjectarea/asjc/2600/2606 name=Control and Optimization /dk/atira/pure/subjectarea/asjc/2100/2101 name=Energy (miscellaneous) /dk/atira/pure/subjectarea/asjc/2200/2201 name=Engineering (miscellaneous) /dk/atira/pure/subjectarea/asjc/2100/2102 name=Energy Engineering and Power Technology /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/2200/2215 name=Building and Construction /dk/atira/pure/subjectarea/asjc/2100/2103 name=Fuel Technology /dk/atira/pure/subjectarea/asjc/2100/2105 name=Renewable Energy, Sustainability and the Environment /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
6G Opportunities Arising from Internet of Things Use Cases
Basel Barakat, Ahmad Taha, Ryan Samson, Aiste Steponenaite, Shuja Ansari, Patrick M. Langdon, Ian J. Wassell, Qammer H. Abbasi, Muhammad Ali Imran, Simeon Keates
Jun 19, 2021
The race for the 6th generation of wireless networks (6G) has begun. Researchers around the world have started to explore the best solutions for the challenges that the previous generations have experienced. To provide the...