TY - GEN
T1 - A Cloud-based Pluggable Manufacturing Service Scheme for Smart Factory
AU - Liu, Yu Yang
AU - Hung, Min Hsiung
AU - Lin, Yu Chuan
AU - Chen, Chao Chun
AU - Gao, Wei Lun
AU - Cheng, Fan Tien
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology (MOST), Taiwan, Republic of China, under contracts MOST 106-2221-E-034-014, 106-2221-E-006-005, and 106-2218-E-006-005. This work was also supported by the “Intelligent Manufacturing Research Center” (iMRC) from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education in Taiwan.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - Implementing intelligent manufacturing services on factory-wide edge devices connected with production equipment efficiently so that those manufacturing services are pluggable, plug-and-play, and manageable through the network is a challenging task and is highly beneficial for facilitating realizing a smart factory. This paper proposes a cloud-based pluggable manufacturing service scheme (called CPMSS) by leveraging cloud computing, edge computing, and RESTful Web Service to address this issue. By using a two-layer-RESTful-service mechanism, the manufacturing services can be built in the form of pluggable application module (PAM). The proposed CPMSS allows the engineers to deploy selected PAMs from the cloud to target edge devices efficiently and to run and manage the plugged PAMs remotely through the cloud platform using Web-based GUIs for supporting intelligent manufacturing activities on target production equipment. Thereby, CPMSS can facilitate fast and factory-wide deployment of intelligent manufacturing services on edge devices for supporting smart manufacturing. Finally, an industrial case study performing predictive maintenance (PdM) on PECVD equipment of a solar cell manufacturing factory is used to demonstrate the effectiveness of the CPMSS.
AB - Implementing intelligent manufacturing services on factory-wide edge devices connected with production equipment efficiently so that those manufacturing services are pluggable, plug-and-play, and manageable through the network is a challenging task and is highly beneficial for facilitating realizing a smart factory. This paper proposes a cloud-based pluggable manufacturing service scheme (called CPMSS) by leveraging cloud computing, edge computing, and RESTful Web Service to address this issue. By using a two-layer-RESTful-service mechanism, the manufacturing services can be built in the form of pluggable application module (PAM). The proposed CPMSS allows the engineers to deploy selected PAMs from the cloud to target edge devices efficiently and to run and manage the plugged PAMs remotely through the cloud platform using Web-based GUIs for supporting intelligent manufacturing activities on target production equipment. Thereby, CPMSS can facilitate fast and factory-wide deployment of intelligent manufacturing services on edge devices for supporting smart manufacturing. Finally, an industrial case study performing predictive maintenance (PdM) on PECVD equipment of a solar cell manufacturing factory is used to demonstrate the effectiveness of the CPMSS.
UR - http://www.scopus.com/inward/record.url?scp=85059972474&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059972474&partnerID=8YFLogxK
U2 - 10.1109/COASE.2018.8560401
DO - 10.1109/COASE.2018.8560401
M3 - Conference contribution
AN - SCOPUS:85059972474
T3 - IEEE International Conference on Automation Science and Engineering
SP - 1040
EP - 1045
BT - 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
PB - IEEE Computer Society
T2 - 14th IEEE International Conference on Automation Science and Engineering, CASE 2018
Y2 - 20 August 2018 through 24 August 2018
ER -