Skip to main content
SpringerLink
Log in

The impact of the organization of the visual inspection process on its effectiveness

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

The article discusses the impact of the organization of the visual inspection process on its effectiveness and on the efficiency of the manufacturing process. The study was conducted in a wood industry production enterprise, using the example of a three-layer floorboard manufacturing process. The study showed a significant difference between two ways of organizing visual inspection in the technological line. The conclusion of the study is to organize organoleptic (also known as sensory) inspection in the line in such a way as to allow the extraction of non-conforming products from the stream, and not the opposite. The recommended method is characterized by higher inspection efficiency, which through a smaller number of type I and type II errors made by controllers translates directly into an increase in production efficiency.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6.
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability

The authors confirm that the data supporting the findings of this study are available within the article. The raw data that support the findings of this study are available from the corresponding author (agnieszka.kujawinska@put.poznan.pl) upon reasonable request.

References

  1. Borkowski S, Knop K (2016) Challenges faced in modern quality inspection. Manag Prod Eng Rev 7:11–22. https://doi.org/10.1515/mper-2016-0022

    Article  Google Scholar 

  2. Bożek M, Rogalewicz M (2013) Nieskuteczność kontroli końcowej przyczyną niskiej efektywności procesu wytwarzania. Inz Masz 18:84–96

    Google Scholar 

  3. 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: Advances in manufacturing, Lecture notes in mechanical engineering. Springer, Heidelberg, pp 881–888

  4. Drury CG, Sinclair MA (1983) Human and machine performance in an inspection task. Hum Factors 25:391–399. https://doi.org/10.1177/001872088302500404

    Article  Google Scholar 

  5. Bozek M, Kujawińska A, Rogalewicz M, Diering M, Gościniak P, Hamrol A (2017) Improvement of catheter quality inspection process. MATEC Web Conf 121:1–8. https://doi.org/10.1051/matecconf/201712105002

    Article  Google Scholar 

  6. Kujawinska A, Vogt K, Diering M, Rogalewicz M, Waigaonkar SD (2018) Organization of visual inspection and its impact on the effectiveness of inspection. Lect Notes Mech Eng:899–909. https://doi.org/10.1007/978-3-319-68619-6_87

  7. See JE (2012) Visual inspection: a review of the literature. Sandia Rep 77

  8. Ngadiman Y, Hussin B, Bon AT, Abdul Hamid NA (2017) Factors that influenced the quality inspection on the production line in manufacturing industry. MATEC Web Conf 95:4–7. https://doi.org/10.1051/matecconf/20179510007

    Article  Google Scholar 

  9. Kluz R, Antosz K (2019) Simulation of flexible manufacturing systems as an element of education towards industry 4.0. Lect Notes Mech Eng 1:332–341. https://doi.org/10.1007/978-3-030-18715-6_28

    Article  Google Scholar 

  10. Trojanowska J, Kolinski A, Galusik D, Varela MLR, Machado J (2018) A Methodology of improvement of manufacturing productivity through increasing operational efficiency of the production process. Lect Notes Mech Eng:23–32. https://doi.org/10.1007/978-3-319-68619-6_3

  11. Patalas-Maliszewska J, Kłos S (2017) A study on improving the effectiveness of a manufacturing company in the context of knowledge management-research results. Found Manag 9:149–160. https://doi.org/10.1515/fman-2017-0012

    Article  Google Scholar 

  12. Aczel AD (2010) Complete business statistics. Wydawnictwo Naukowe PWN, Warszawa

    Google Scholar 

  13. Montgomery DC (2009) Introduction to statistical process control, 6th edn. John Wiley & Sons, Inc., New York

  14. Biggs AT, Mitroff SR (2014) Different predictors of multiple-target search accuracy between nonprofessional and professional visual searchers. Q J Exp Psychol 67:1335–1348. https://doi.org/10.1080/17470218.2013.859715

    Article  Google Scholar 

  15. Latorella KA, Prabhu PV (2017) A review of human error in aviation maintenance and inspection. Hum Error Aviat 26:521–549. https://doi.org/10.4324/9781315092898-27

    Article  Google Scholar 

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

    Article  Google Scholar 

  17. Becker M (2017) Re-inspection of defect fractions in visual inspection. Pharm Ind 79:211–215

    Google Scholar 

  18. Stephens HM (2000) NDE reliability – human factors – basic considerations. In: the 15th World Conference on Nondestructive Testing. The Italian Society for Nondestructive Testing and Monitoring Diagnostics, Rome

  19. Sheehan JJ, Drury CG (1971) The analysis of industrial inspection. Appl Ergon 2:74–78. https://doi.org/10.1016/0003-6870(71)90073-1

    Article  Google Scholar 

  20. Drury CG (1985) Stress and quality control inspection. In: C. I. Cooper & M. J. Smith (eds.), Job stress and blue collar work, John Wiley & Sons Ltd, Chichester UK, pp 113–129

  21. Mozrall JR, Drury CG, Cerny F, Sharit J (2000) The effects of whole-body restriction on task performance. Ergonomics 43:1805–1823. https://doi.org/10.1080/00140130050174482

    Article  Google Scholar 

  22. Kleiner BM, Drury CG (1999) Large-scale regional economic development: macroergonomics in theory and practice. Hum Factors Ergon Manuf 9:151–163. https://doi.org/10.1002/(SICI)1520-6564(199921)9:2<151::AID-HFM2>3.0.CO;2-G

    Article  Google Scholar 

  23. Czaja SJ, Drury CG (1981) Training programs for inspection. Hum Factors 23:473–484. https://doi.org/10.1177/001872088102300410

    Article  Google Scholar 

  24. Thapa PB, Gideon P, Brockman KG, Fought RL, Ray WA (1996) Clinical and biomechanical measures of balance as fall predictors in ambulatory nursing home residents. Journals Gerontol - Ser A Biol Sci Med Sci 51:239–246. https://doi.org/10.1093/gerona/51A.5.M239

    Article  Google Scholar 

  25. Kujawińska A, Vogt K, Hamrol A (2016) The role of human motivation in quality inspection of production processes. Adv Intell Syst Comput 490:569–579. https://doi.org/10.1007/978-3-319-41697-7_49

    Article  Google Scholar 

  26. Chi CF, Drury C (2001) Limits to human optimization in inspection performance. Int J Syst Sci 32:689–701. https://doi.org/10.1080/00207720117646

    Article  MATH  Google Scholar 

  27. Vayvay O, Erdinc O (2008) Quality improvement through ergonomics methodology: conceptual framework and an application. Int J Product Qual Manag 3:311–324. https://doi.org/10.1504/IJPQM.2008.017501

    Article  Google Scholar 

  28. Battini D, Faccio M, Persona A, Sgarbossa F (2011) New methodological framework to improve productivity and ergonomics in assembly system design. Int J Ind Ergon 41:30–42. https://doi.org/10.1016/j.ergon.2010.12.001

    Article  Google Scholar 

  29. Salvendy G (2012) Handbook of human factors and ergonomics. Edi, Fourth

    Book  Google Scholar 

  30. Shih B-Y, Chen C-Y, Chen Z-S (2006) Performing ergonomics analyses through virtual interactive design: validity and reliability assessment. Hum Factors Ergon Manuf 16:61–81. https://doi.org/10.1002/hfm

    Article  Google Scholar 

  31. Jasiulewicz-Kaczmarek M (2013) The role of ergonomics in implementation of the social aspect of sustainability, illustrated with the example of maintenance. Occup Saf Hyg - Proc Int Symp Occup Saf Hyg SHO 2013:47–52. https://doi.org/10.1201/b14391-11

    Article  Google Scholar 

  32. Hamrol A (2000) Process diagnostic as a means of improving the efficiency of quality control. Prod Plan Control 11(8):797–805. https://doi.org/10.1080/095372800750038409

    Article  Google Scholar 

  33. Družovec M, Welzer T (2004) Qualitative model for quality control in production. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics) 3214:1003–1009. https://doi.org/10.1007/978-3-540-30133-2_133

    Article  Google Scholar 

  34. Donald MP, Svrcek WY, Young BR (2006) A real-time approach to process control, 2nd edn. John Wiley & Sons Ltd, Chichester

  35. Żywicki K, Kujawińska A, Diering M, Rogalewicz M (2016) Report of the R&D project: improvement of raw wood efficiency in the industrial production processes, BIOSTRATEG2/298950/1/NCBR/2016. Poznań

Download references

Funding

The paper was prepared and financed by scientific statutory research conducted by the Division of Production Engineering, Faculty of Mechanical Engineering, Poznan University of Technology, Poznan, Poland, and financially supported by the Polish Ministry of Science and Higher Education in 2019-2020 (0613/SBAD/8727).

Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, Poznan University of Technology, Pl. Marii Sklodowskiej-Curie 5, 60-965, Poznan, Poland

    Agnieszka Kujawińska & Magdalena Diering

Authors
  1. Agnieszka Kujawińska
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Magdalena Diering
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Both of the authors—the corresponding author Agnieszka Kujawińska and the second author Magdalena Diering—have been responsible for writing this paper, planning experiments, developing experiments, and data collecting. Magdalena Diering has been planning measurements systems and evaluating its ability. Agnieszka Kujawińska has been statistically analyzing the raw data and made statistical test.

Corresponding author

Correspondence to Agnieszka Kujawińska.

Ethics declarations

Conflict of interests

The authors declare that they have no conflict of interest.

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kujawińska, A., Diering, M. The impact of the organization of the visual inspection process on its effectiveness. Int J Adv Manuf Technol 112, 1295–1306 (2021). https://doi.org/10.1007/s00170-020-06543-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-020-06543-9

Keywords

Search

Navigation