TY - GEN
T1 - IoT-based automatic non-conformity detection: A metalworking sme use case
AU - Marques, Maria
AU - Cunha, Adriana
AU - Mohammed, Wael M.
AU - Jardim-Gonçalves, Ricardo
AU - Agostinho, Carlos
N1 - info:eu-repo/grantAgreement/EC/H2020/636909/EU#
BOOST 4.0 (ICT-15-2017)
Sem PDF conforme despacho.
PY - 2019
Y1 - 2019
N2 - Industrial production’s main goal is to achieve adaptability, resource efficiency, as well as, to integrate the complete value and supply chains, including customers, in business and value processes. To this end, manufacturing systems need to be as generic as possible in order to answer the different needs of a variety of industries. Industry4.0 paradigm stands as the baseline to answer these requirements, and data collection capabilities represent a major pillar in this strategy. Moreover, the way companies interact and communicate, being able of sharing information among themselves as well as to take full advantage of the data and knowledge being generated (even within the same company) demand huge attention to solving interoperability issues. The C2NET project (Cloud Collaborative Manufacturing Networks project), intends to implement the Industry 4.0 vision aiming to provide a cloud-based platform for managing the company interactions and promoting enterprise interoperability. This paper presents how the Data Collection Framework (DCF) developed within C2NET project can be used to collect data and support an automatic non-conformity detection case in a Portuguese metalworking SME. The developed components are briefly described as well as the implemented use case. The results obtained are also presented and discussed.
AB - Industrial production’s main goal is to achieve adaptability, resource efficiency, as well as, to integrate the complete value and supply chains, including customers, in business and value processes. To this end, manufacturing systems need to be as generic as possible in order to answer the different needs of a variety of industries. Industry4.0 paradigm stands as the baseline to answer these requirements, and data collection capabilities represent a major pillar in this strategy. Moreover, the way companies interact and communicate, being able of sharing information among themselves as well as to take full advantage of the data and knowledge being generated (even within the same company) demand huge attention to solving interoperability issues. The C2NET project (Cloud Collaborative Manufacturing Networks project), intends to implement the Industry 4.0 vision aiming to provide a cloud-based platform for managing the company interactions and promoting enterprise interoperability. This paper presents how the Data Collection Framework (DCF) developed within C2NET project can be used to collect data and support an automatic non-conformity detection case in a Portuguese metalworking SME. The developed components are briefly described as well as the implemented use case. The results obtained are also presented and discussed.
KW - Data collection
KW - Enterprise interoperability
KW - Resource virtualization
UR - http://www.scopus.com/inward/record.url?scp=85065236452&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-13693-2_13
DO - 10.1007/978-3-030-13693-2_13
M3 - Conference contribution
AN - SCOPUS:85065236452
SN - 978-3-030-13692-5
T3 - Proceedings of the I-ESA Conferences
SP - 155
EP - 165
BT - Enterprise Interoperability VIII: Smart Services and Business Impact of Enterprise Interoperability
A2 - Popplewell, K.
A2 - Thoben, K. D.
A2 - Knothe, T.
A2 - Poler, R.
PB - Springer International Publishing AG
CY - Cham
T2 - 9th Conference on Interoperability for Enterprise Systems and Applications, I-ESA'18
Y2 - 19 March 2018 through 23 March 2018
ER -
