A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research …
Smart manufacturing has received increased attention from academia and industry in recent
years, as it provides competitive advantage for manufacturing companies making industry …
years, as it provides competitive advantage for manufacturing companies making industry …
Digitalisation and servitisation of machine tools in the era of Industry 4.0: a review
Machine tools play a pivotal role in the manufacturing world since their performance
significantly affects the product quality and production efficiency. In the era of Industry 4.0 …
significantly affects the product quality and production efficiency. In the era of Industry 4.0 …
[HTML][HTML] Energy prediction for CNC machining with machine learning
M Brillinger, M Wuwer, MA Hadi, F Haas - CIRP Journal of Manufacturing …, 2021 - Elsevier
Nowadays, the reduction of CO 2 emissions by moving from fossil to renewable energy
sources is on the policy of many governments. At the same time, these governments are …
sources is on the policy of many governments. At the same time, these governments are …
Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research
Purpose The role of data analytics is significantly important in manufacturing industries as it
holds the key to address sustainability challenges and handle the large amount of data …
holds the key to address sustainability challenges and handle the large amount of data …
A systematic literature review on machine tool energy consumption
N Sihag, KS Sangwan - Journal of Cleaner Production, 2020 - Elsevier
Energy efficiency has become an integral part of the metal manufacturing industries as a
means to improve economic and environmental performance, and increase …
means to improve economic and environmental performance, and increase …
Data-driven energy prediction modeling for both energy efficiency and maintenance in smart manufacturing systems
The optimization and monitoring of the energy consumption of machinery lead to a
sustainable and efficient industry. For this reason and following a digital twin strategy, an …
sustainable and efficient industry. For this reason and following a digital twin strategy, an …
Machine learning based very short term load forecasting of machine tools
B Dietrich, J Walther, M Weigold, E Abele - Applied Energy, 2020 - Elsevier
With the ongoing integration of renewable energies into the electrical power grid, industrial
energy flexibility gains importance. To enable demand response applications, knowledge …
energy flexibility gains importance. To enable demand response applications, knowledge …
A generic energy prediction model of machine tools using deep learning algorithms
Energy prediction of machine tools plays an irreplaceable role in energy planning,
management, and conservation in the manufacturing industry. In the era of big machinery …
management, and conservation in the manufacturing industry. In the era of big machinery …
Prediction of the remaining useful life of cutting tool using the Hurst exponent and CNN-LSTM
To enhance production quality, productivity and energy consumption, it is paramount to
predict the remaining useful life (RUL) of a cutting tool accurately and efficiently. Deep …
predict the remaining useful life (RUL) of a cutting tool accurately and efficiently. Deep …
Modeling product carbon footprint for manufacturing process
B He, S Qian, T Li - Journal of Cleaner Production, 2023 - Elsevier
To reduce carbon intensity and improve energy efficiency in product manufacturing, a
comprehensive carbon emission model is essential. Most of the existing researches focus …
comprehensive carbon emission model is essential. Most of the existing researches focus …