Skip to main content

Electronic Nonconformities Guide as a Tool to Support Visual Inspection

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The article presents an electronic guide to the nonconformity of parts produced in an enterprise in the automotive industry. In visual inspection, it is very important to be familiar with errors that can potentially be detected at a given control position and clearly define the control criteria. In the automotive industry, in which products must conform to very high requirements, not only in terms of safety of use, but also appearance, repeatability and reproducibility of this product feature is extremely important. What appears to be helpful then is nonconformities catalogues, which contain pictures of possible defects and their descriptions. The innovatory approach of the guide consists in taking into account the needs of deaf and hearing-impaired people working in the quality control department and using Orbitvu 3D to take pictures of nonconformities.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Sagi JS (1998) The interaction between quality control and production. SSRN Electron J. https://doi.org/10.2139/ssrn.113769

  2. Hamrol A (2017) Management and quality engineering. Warsaw (PWN)

    Google Scholar 

  3. Hamrol A (2015) Strategies and practices of efficient operation. Lean Six Sigma and other, Warsaw (PWN)

    Google Scholar 

  4. Benbow DW, Berger RW, Eishenawy AK, Walker HF (2002) The certified quality engineer handbook. ASQ Quality Press, Milwaukee

    Google Scholar 

  5. Sika R, Rogalewicz M (2017) Demerit control chart as a decision support tool in quality control of ductile cast-iron casting process. In: MATEC web of conferences, vol 121, p 05007. https://doi.org/10.1051/matecconf/201712105007

    Article  Google Scholar 

  6. Włodarczyk K, Kowalczyk J, Ulbrich D, Selech J (2017) A review of non-destructive evaluation methods of elements of prototype module of drying line used to receive RDF fuel from waste recycling. Procedia Eng 192:959–964. https://doi.org/10.1016/j.proeng.2017.06.165

    Article  Google Scholar 

  7. Vieira G, Reis L, Varela MLR, Machado J, Trojanowska J (2016) Integrated platform for real-time control and production and productivity monitoring and analysis. Rom Rev Precis Mech Opt Mechatron 50:119–127

    Google Scholar 

  8. Knop K (2017) Analiza udziału i znaczenia stosowanych metod kontroli jakości do wykrywania niezgodności profili aluminiowych. Systemy wspomagania w inżynierii produkcji. Jakość, Bezpieczeństwo, Środowisko 6(7):129–142

    Google Scholar 

  9. Starzyńska B, Szajkowska K, Diering M, Rocha A, Reis LP (2018) A study of raters agreement in quality inspection with the participation of hearing disabled employees. In: Hamrol A, Ciszak O, Legutko S, Jurczyk M (eds) Advances in manufacturing. Lecture notes in mechanical engineering. Springer, Cham, pp 881–888

    Chapter  Google Scholar 

  10. Jasarevic S, Diering M, Brdarevic S (2012) Opinions of the consultants and certification houses regarding the quality factors and achieved effects of the introduced quality system. Tehnicki Vjesnik-Technical Gazette 19(2):211–220

    Google Scholar 

  11. Kujawińska A, Vogt K, Diering M, Rogalewicz M, Waigaonkar SD (2018) Organization of visual inspection and its impact on the effectiveness of inspection. In: Hamrol A, Ciszak O, Legutko S, Jurczyk M (eds) Advances in manufacturing. Lecture notes in mechanical engineering. Springer, Cham, pp 899–909

    Chapter  Google Scholar 

  12. Kujawińska A, Vogt K (2015) Human factors in visual quality control. Manage Prod Eng Rev 6(2):25–31. https://doi.org/10.1515/mper-2015-0013

    Article  Google Scholar 

  13. Chi CF, Drury C (2001) Limits to human optimization in inspection performance. Int J Syst Sci 32(6):689–701

    Article  Google Scholar 

  14. Jiang X, Gramopadhye AK, Melloy BJ, Grimes LW (2003) Evaluation of best system performance: human, automated, and hybrid inspection systems. Hum Factors Ergon Manuf Serv Ind 13(2):137–152

    Article  Google Scholar 

  15. Lee J, Ko KW, Lee S (2016) Visual inspection system of the defect of collets for wafer handling process. Int J Control Autom 9:129–138

    Google Scholar 

  16. See JE (2015) Visual inspection reliability for precision manufactured parts. Hum Factors 57:1427–1442

    Article  Google Scholar 

  17. Kleiner BM, Drury CG (1992) Design and evaluation of an inspection training program. Appl Ergon 24:75–82

    Article  Google Scholar 

  18. See J, Drury CG, Speed A, Khalandi N (2017) The role of visual inspection in the 21st century. Proc Hum Factors Ergon Soc Ann Meet 61(1):262–266

    Article  Google Scholar 

  19. Suszyński M, Butlewski M, Stempowska R (2017) Ergonomic solutions to support forced static positions at work. In: MATEC web of conferences, vol 137, p 01015

    Article  Google Scholar 

Download references

Acknowledgments

The paper is prepared and financed by scientific statutory research conducted by Chair of Management and Production Engineering, Faculty of Mechanical Engineering and Management, Poznan University of Technology, Poland, supported by the Polish Ministry of Science and Higher Education from the financial means in 2018 (02/23/DSPB/7716).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Agnieszka Kujawińska .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kujawińska, A., Rogalewicz, M., Szajkowska, K., Piotrowski, W., Parczewski, W. (2019). Electronic Nonconformities Guide as a Tool to Support Visual Inspection. In: Diering, M., Wieczorowski, M., Brown, C. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-18682-1_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-18682-1_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18681-4

  • Online ISBN: 978-3-030-18682-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics