TY - CHAP
T1 - Empowering SMEs with Cyber-Physical Production Systems: From Modelling a Polishing Process of Cutlery Production to CPPS Experimentation
AU - Ferreira, José
AU - Lopes, Fábio
AU - Doumeingts, Guy
AU - Sousa, João
AU - Mendonça, João P.
AU - Agostinho, Carlos
AU - Jardim-Gonçalves, Ricardo
N1 - Funding Information:
info:eu-repo/grantAgreement/EC/H2020/680633/EU#
The authors are also thankful to all CRISTEMA collaborators namely CEO João Fertuzinhos.
PY - 2020
Y1 - 2020
N2 - As technology evolves, the contemporary technological paradigm of manufacturing Small and Medium Enterprises (SME’s) has been changing and gaining traction to accommodate its ever-growing needs for adaptation to modern industrial processes and standards. Their willingness to integrate Cyber-Physical Systems (CPS) modules in their manufacturing processes and to implement Cyber-Physical Production Systems (CPPS) is firmly based on the perception that value added services result from the technological evolution and, in the future, better tools are expected to guarantee process control, surveillance and maintenance. These Intelligent Systems involve transdisciplinary approaches to guarantee interaction and behavioural fluidity between hardware and software components which often leads to complexity in the coordination of these components and processes. The main objective of this work is to study these aspects and to contribute with data regarding the applicability of CPS components in the current SME’s environment with the intent of improving the performance of manufacturing processes. To accomplish this, an architecture is proposed, which is based in the process modelling and process simulation of the different stages of an existing SME factory production, allowing real-time information, through IoT data collection, to feed different mechanisms of production improvement modules such as planning, scheduling and monitoring. Since SME’s are the most active and common company profile in the northern part of Portugal, it seemed beneficial to take part in this environment, by implementing the solution in a promising cutlery producing SME, with the objective of investigate and validate the applicability of the BEinCPPS components, within the proposed architecture, to improve the performance of the company industrial processes.
AB - As technology evolves, the contemporary technological paradigm of manufacturing Small and Medium Enterprises (SME’s) has been changing and gaining traction to accommodate its ever-growing needs for adaptation to modern industrial processes and standards. Their willingness to integrate Cyber-Physical Systems (CPS) modules in their manufacturing processes and to implement Cyber-Physical Production Systems (CPPS) is firmly based on the perception that value added services result from the technological evolution and, in the future, better tools are expected to guarantee process control, surveillance and maintenance. These Intelligent Systems involve transdisciplinary approaches to guarantee interaction and behavioural fluidity between hardware and software components which often leads to complexity in the coordination of these components and processes. The main objective of this work is to study these aspects and to contribute with data regarding the applicability of CPS components in the current SME’s environment with the intent of improving the performance of manufacturing processes. To accomplish this, an architecture is proposed, which is based in the process modelling and process simulation of the different stages of an existing SME factory production, allowing real-time information, through IoT data collection, to feed different mechanisms of production improvement modules such as planning, scheduling and monitoring. Since SME’s are the most active and common company profile in the northern part of Portugal, it seemed beneficial to take part in this environment, by implementing the solution in a promising cutlery producing SME, with the objective of investigate and validate the applicability of the BEinCPPS components, within the proposed architecture, to improve the performance of the company industrial processes.
KW - Cyber-physical systems
KW - Data acquisition
KW - Industry 4.0
KW - Interoperability
KW - Process modelling
KW - Process simulation
KW - Sensors
UR - http://www.scopus.com/inward/record.url?scp=85081545909&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-38704-4_7
DO - 10.1007/978-3-030-38704-4_7
M3 - Chapter
AN - SCOPUS:85081545909
SN - 978-3-030-38703-7
T3 - Studies in Computational Intelligence
SP - 139
EP - 177
BT - Intelligent Systems: Theory, Research and Innovation in Applications
A2 - Jardim-Gonçalves, R.
A2 - Sgurev, V.
A2 - Jotsov, V.
A2 - Kacprzyk, J.
PB - Springer
CY - Cham
ER -