A Cloud-based Pluggable Manufacturing Service Scheme for Smart Factory

Yu Yang Liu, Min Hsiung Hung, Yu Chuan Lin, Chao Chun Chen, Wei Lun Gao, Fan Tien Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
PublisherIEEE Computer Society
Pages1040-1045
Number of pages6
ISBN (Electronic)9781538635933
DOIs
Publication statusPublished - 2018 Dec 4
Event14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Germany
Duration: 2018 Aug 202018 Aug 24

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2018-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Other

Other14th IEEE International Conference on Automation Science and Engineering, CASE 2018
CountryGermany
CityMunich
Period18-08-2018-08-24

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A Cloud-based Pluggable Manufacturing Service Scheme for Smart Factory'. Together they form a unique fingerprint.

Cite this