Real-time data driven intelligent navigation method of assembly station

Y. F. Zhang, T. Yang, George Huang, S. D. Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper considers the assembly station as a breakthrough to improve the real-time data driven control and optimization of assembly process in unpaced asynchronous line. By adopting automatic identification technologies, the overall architecture of the real-time intelligent navigation of assembly station (INoAS) is put forward. Under this architecture, three core services, namely the real-time assembly operating guidance service, collaborative production service among assembly stations and real-time queuing service of task, are designed to provide optimal navigation for assembly activities of each assembly station. Then, the disturbances and exceptions could be timely captured and eliminated by the assembly station and the assembly line respectively. The presented architecture and services of INoAS will facilitate the real-time data driven process monitor and control between the line and stations.

Original languageEnglish
Title of host publication43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
PublisherComputers and Industrial Engineering
Pages128-136
Number of pages9
ISBN (Print)9781629934372
StatePublished - 2013
Event43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 - Hong Kong, Hong Kong
Duration: 16 Oct 201318 Oct 2013

Publication series

NameProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume1
ISSN (Electronic)2164-8689

Conference

Conference43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
Country/TerritoryHong Kong
CityHong Kong
Period16/10/1318/10/13

Keywords

  • Assembly
  • Collaborative production
  • Intelligent navigation
  • Operating guidance
  • Real-time

Fingerprint

Dive into the research topics of 'Real-time data driven intelligent navigation method of assembly station'. Together they form a unique fingerprint.

Cite this