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Human factors in visual quality control

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Języki publikacji
EN
Abstrakty
EN
Visual control (visual inspection) is often used in production because - in comparison to other kinds of control - it is relatively easy to conduct. It does not require any specialized technical equipment. Human senses, usually sight, are the measurement tool. Unfortunately, visual control does not guarantee a fully correct assessment. The reason is the limited human reliability. There are plenty of factors which influence ability of a human to assess the process or product quality properly. An important group of them are ergonomic factors. The goal of the paper is to identify and discuss their influence on the efficiency of the visual quality control in manufacturing processes. The research was carried out in manufacturing company from automotive industry. The paper presents the investigation of work organizational factors influence on visual control effectiveness. A controller can make two types of errors in the process of visual inspection: to assess a conforming product as “defective” or to assess a non-conforming product as “good”. Effectiveness of sequential visual controls in selected process was examined. As a measure of visual control effectiveness Control First Pass Yield index was defended. Three operations were analyzed: assembly of components, melting components and applying a protective coating.
Słowa kluczowe
Twórcy
  • Poznan University of Technology, Faculty of Mechanical Engineering and Management, Poland
autor
  • Poznan University of Technology, Faculty of Mechanical Engineering and Management, Poland
Bibliografia
  • [1] Hamrol A., Quality Management with examples, PWN, Warsaw, 2008.
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  • [4] Oakland J.S., Statistical Process Control: A Practical Guide (5th Edition), Butterworth-Heinemann, Oxford, 2003.
  • [5] Wheeler D.J., Understanding Statistical Process Control, SPC Press, Knoxwille, 1992.
  • [6] Drury C.G., Sinclair M.A., Human and machine performance in an inspection task. Human Factors, 25, 391-399, 1983.
  • [7] Hamrol A., Kowalik D., Kujawińska A., Impact of chosen work condition factors on quality of manual assembly process, Human Factors and Ergonomics in Manufacturing, 21, 2, March/April 2011, item: 3331, pp. 156-163, 2011.
  • [8] Jo Y-D., Park K-S., Dynamic management of human error to reduce total risk, Journal of Loss Prevention, 16, 313-321, 2003.
  • [9] Kalaykov I,Wide P., Intelligent Feature Estimation, Based on Human‘s Perceptual Features, SCIMA, International Workshop on Soft Computing Techniques, Measurements and Related Applications, 2003.
  • [10] Drury C.G., Karwan M.H., Vanderwarker D.R., The two-inspector problem, IIE Transactions, 18, 174-181, 1986.
  • [11] Fox J.G., Ergonomics contribution to subjective inspection in industrial quality control, The Production Engineer, 1975.
  • [12] Raz T., Littchwager J.M., Ten measures of Inspection Performance, Jurnal of Quality Technology, 21, 2, 1989.
  • [13] Więcek-Janka E., Decisions and games, Publishing House of Poznan University of Technology, 2011.
  • [14] Więcek-Janka E., Psycho-profile of Polish Microentrepreneur [in Polish: Sylwetka psychofizyczna polskiego Mikroprzedsiębiorcy], Ekonomika i Organizacja Przedsiębiorstwa, p. 116-120, 2007.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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