Modeling quality propagation in automotive paint shops: An application study

Feng Ju, Jingshan Li, Guoxian Xiao, Jorge Arinez

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Improving paint quality is of significant importance for vehicle manufacturing. In this paper, a quality propagation model is presented to analyze and improve quality in automotive paint shops. Specifically, we study the vehicle painting process with multiple inspection stations. After each inspection, vehicles failed to achieve quality requirement will be repaired before moving to the next operation. In such systems, the quality variations may propagate along the painting process. To study it, a three-state quality propagation model has been developed, and analytical formulas to evaluate product quality have been derived. In addition, to improve quality performance, a bottleneck analysis method has been introduced to identify the most critical stage that impedes product quality in the strongest manner so that its improvement will lead to the largest improvement of the whole system. To illustrate the applicability of the method, a case study to improve paint quality at an automotive paint shop is introduced. © IFAC.
Original languageEnglish
Title of host publication7th IFAC Conference on Manufacturing Modelling, Management, and Control, MIM 2013 - Proceedings
PublisherIFAC Secretariat
Pages1890-1895
Volume46
ISBN (Print)9783902823359
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event7th IFAC Conference on Manufacturing Modelling, Management, and Control, MIM 2013 - Saint Petersburg, Russian Federation
Duration: 19 Jun 201321 Jun 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume46
ISSN (Print)1474-6670

Conference

Conference7th IFAC Conference on Manufacturing Modelling, Management, and Control, MIM 2013
PlaceRussian Federation
CitySaint Petersburg
Period19/06/1321/06/13

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work is supported in part by NSF Grant No. CMMI-1063656.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • Bottleneck
  • Flow model
  • Paint shop
  • Quality
  • Repair

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