TY - GEN
T1 - Production Process Modelling Architecture to Support Improved Cyber-Physical Production Systems
AU - Seixas-Lopes, Fabio
AU - Ferreira, José
AU - Agostinho, Carlos
AU - Jardim-Gonçalves, Ricardo
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
PY - 2020
Y1 - 2020
N2 - With the proliferation of intelligent networks in industrial environments, manufacturing SME’s have been in a continuous search for integrating and retrofitting existing assets with modern technologies that could provide low-cost solutions for optimizations in their production processes. Their willingness to support a technological evolution is firmly based on the perception that, in the future, better tools will guarantee process control, surveillance and maintenance. For this to happen, the digitalization of valuable and extractable information must be held in a cost-effective manner, through contemporary approaches such as IoT, creating the required fluidity between hardware and software, for implementing Cyber-Physical modules in the manufacturing process. The goal of this work is to develop an architecture that will support companies to digitize their machines and processes through an MDA approach, by modeling their production processes and physical resources, and transforming into an implementation model, using contemporary CPS and IoT concepts, to be continuously improved using forecasting/predictive algorithms and analytics.
AB - With the proliferation of intelligent networks in industrial environments, manufacturing SME’s have been in a continuous search for integrating and retrofitting existing assets with modern technologies that could provide low-cost solutions for optimizations in their production processes. Their willingness to support a technological evolution is firmly based on the perception that, in the future, better tools will guarantee process control, surveillance and maintenance. For this to happen, the digitalization of valuable and extractable information must be held in a cost-effective manner, through contemporary approaches such as IoT, creating the required fluidity between hardware and software, for implementing Cyber-Physical modules in the manufacturing process. The goal of this work is to develop an architecture that will support companies to digitize their machines and processes through an MDA approach, by modeling their production processes and physical resources, and transforming into an implementation model, using contemporary CPS and IoT concepts, to be continuously improved using forecasting/predictive algorithms and analytics.
KW - Artificial Intelligence
KW - Cyber-physical systems
KW - Internet of Things
KW - Interoperability
KW - Model driven architecture
KW - Process modelling
UR - http://www.scopus.com/inward/record.url?scp=85084792766&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45124-0_19
DO - 10.1007/978-3-030-45124-0_19
M3 - Conference contribution
AN - SCOPUS:85084792766
SN - 978-3-030-45123-3
T3 - IFIP Advances in Information and Communication Technology
SP - 206
EP - 213
BT - Technological Innovation for Life Improvement - 11th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Farhadi, Nastaran
A2 - Lopes, Fábio
A2 - Pereira, Helena
PB - Springer
CY - Cham
T2 - 11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020
Y2 - 1 July 2020 through 3 July 2020
ER -