TY - GEN
T1 - Predictive Manufacturing
T2 - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
AU - Pulikottil, Terrin
AU - Estrada-Jimenez, Luis Alberto
AU - Nikghadam-Hojjati, Sanaz
AU - Barata, Jose
N1 - Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant No. 814078. Partial support also comes from Fundação para a Ciência e Tecnologia through the program UIDB/00066/2020 (CTS-Center of Technology and Systems).
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021
Y1 - 2021
N2 - The impact of globalization and the recent advancements in Information and Communication Technologies has pushed the manufacturing sector towards a new transformation. Current manufacturers with the help of recent advances in Cloud Computing, Artificial Intelligence, and Internet of Things are moving towards a new intelligent system called Predictive Manufacturing Systems (PMS). These systems can be used in a wide array of applications, including proactive maintenance, improved quality control and higher performance. This paper provides an overview of the current trends in Predictive Manufacturing Systems in recent years. The paper discusses the developed frameworks, enabling technologies and various applications of Predictive Manufacturing Systems.
AB - The impact of globalization and the recent advancements in Information and Communication Technologies has pushed the manufacturing sector towards a new transformation. Current manufacturers with the help of recent advances in Cloud Computing, Artificial Intelligence, and Internet of Things are moving towards a new intelligent system called Predictive Manufacturing Systems (PMS). These systems can be used in a wide array of applications, including proactive maintenance, improved quality control and higher performance. This paper provides an overview of the current trends in Predictive Manufacturing Systems in recent years. The paper discusses the developed frameworks, enabling technologies and various applications of Predictive Manufacturing Systems.
KW - Artificial intelligence
KW - Cloud computing
KW - Data analytics
KW - Internet of Things
KW - Predictive manufacturing systems
KW - Smart manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85111991928&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78288-7_5
DO - 10.1007/978-3-030-78288-7_5
M3 - Conference contribution
AN - SCOPUS:85111991928
SN - 9783030782870
T3 - IFIP Advances in Information and Communication Technology
SP - 51
EP - 61
BT - Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Ferreira, Pedro
A2 - Brito, Guilherme
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 7 July 2021 through 9 July 2021
ER -