Virtual Enterprise Process Monitoring: An Approach towards Predictive Industrial Maintenance

Filipe Ferreira*, Ahm Shamsuzzoha, Americo Azevedo, Petri Helo

*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

A virtual enterprise management platform is proposed with the objective to simplify the formation, management, adaptation and monitoring of the dynamic manufacturing process in VE. Within this platform an integration black box is highlighted to monitor the process data. This black box is used as a smart object to collect updated data or information from the business process or equipment within the VE. The raw data for predictive maintenance is collected by the black box from programmable logic controllers via gateway interface. A dashboard user interface is also designed and developed within the scope of this research that acts as a visualization tool to display the process monitored data. The theme of this research is designed and developed within the scope of the European Commission NMP priority of the Seventh RTD Framework Programme for the ADVENTURE (ADaptive Virtual ENterprise ManufacTURing Environment) project.

Original languageEnglish
Title of host publicationProgress in Systems Engineering - Proceedings of the 23rd International Conference on Systems Engineering
PublisherSpringer Verlag
Pages285-291
Number of pages7
ISBN (Print)9783319084213
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event23rd International Conference on Systems Engineering, ICSEng 2014 - Las Vegas, NV, United States
Duration: Aug 19 2014Aug 21 2014

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1089
ISSN (Print)2194-5357

Other

Other23rd International Conference on Systems Engineering, ICSEng 2014
Country/TerritoryUnited States
CityLas Vegas, NV
Period8/19/148/21/14

Keywords

  • Predictive maintenance
  • business process monitoring
  • dashboard user interface
  • virtual enterprise management platform

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

Fingerprint

Dive into the research topics of 'Virtual Enterprise Process Monitoring: An Approach towards Predictive Industrial Maintenance'. Together they form a unique fingerprint.

Cite this