• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. A quality information management model for smart rework control within vehicle assembly processes
 
  • Details
  • Full
Options
2018
Conference Paper
Titel

A quality information management model for smart rework control within vehicle assembly processes

Abstract
This paper presents a quality information management model for smart control of rework information on a cycle-time-oriented vehicle production assembly line. An intelligent control of open rework within a cycle-time-defined assembly line requires information about outstanding rework on vehicles that is appropriate for the user and situation. This information management model optimizes the rework process by means of prioritized control and information flows to the users in the assembly line based on five individual rework control levels to solve open rework in an optimal way regarding time, costs and quality. By gathering all data relating to problems on the assembly line, this model ensures the transparency of production and of its production quality which enables rework planning to be optimized and steps to be taken towards achieving first-time quality.
Author(s)
Gewohn, M.
Beyerer, Jürgen
Usländer, Thomas
Sutschet, Gerhard
Hauptwerk
International Conference on Information Management and Processing, ICIMP 2018
Konferenz
International Conference on Information Management and Processing (ICIMP) 2018
Thumbnail Image
DOI
10.1109/ICIMP1.2018.8325841
Language
English
google-scholar
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • assembly system

  • automobile manufactur...

  • collaboration

  • computer aided manufa...

  • data handling

  • fault tolerant contro...

  • feedforward system

  • informatic

  • information exchange

  • information managemen...

  • Information sharing

  • Internet of Things

  • system improvement

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022