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Ensuring the reliability and reduction of quality control costs by minimizing process variability
 
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Poznan University of Technology, Faculty of Mechanical Engineering, Poland
 
 
Online publication date: 2023-03-26
 
 
Publication date: 2023-03-26
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(2):162626
 
HIGHLIGHTS
  • Methodology of the planning the control while ensuring its reliability and minimizing costs.
  • Maintaining the appropriate level of credibility of decisions.
  • High variability of seat belts tensile strength.
  • Definition of the scope of the acceptance control of belts tensile strength
KEYWORDS
ABSTRACT
This paper presents a method for planning the range of quality control while ensuring its reliability and minimizing costs. The method is dedicated to destructive inspection, in which the cost of performing the measurement is significant in relation to the cost of manufacturing a part or product. The methodology was divided into four main stages: (1) selection of the measurement system and definition of the inspection scope and sample size, (2) process control, (3) redefining the scope of control and (4) verification of control cost and reliability after sample size change. The article presents the results of applying the author's procedure to the process of evaluating seat belts in automotive industry. Belts are used in the process of controlling the final product, which is a seat belt anchor plate. This approach allowed to reduce the number of destroyed parts during control while maintaining the credibility of the decision based on the assessment. As a result of double-decreasing the sample size, the costs of seat belt quality control were reduced. Assuming an average of 40 seat belt deliveries per year, the material cost was reduced by 50%. Limiting the sample size to 15 pieces per delivery would reduce the cost of testing from by 45%. It was achieved maintaining the appropriate level of credibility of decisions made greater than 0.8.
ACKNOWLEDGEMENTS
The results presented in the paper come from the R&D project: 0613/SBAD/4710 by the Faculty of Mechanical Engineering, Poznan University of Technology, Poland.
 
CITATIONS (3):
1.
Refinement of the Process Capability Index Сalculation
Oleh Haievskyi, Viktor Kvasnytskyi, Volodymyr Haievskyi, Michał Szymura, Larisa Sviridova
Journal of Engineering Sciences
 
2.
Advances in Manufacturing IV
Agnieszka Kujawińska, Magdalena Diering, Anna Przybył
 
3.
Advances in Manufacturing IV
Łukasz Łampika, Dagmara Łapczyńska, Joanna Kochańska, Anna Burduk, Kamil Musiał
 
eISSN:2956-3860
ISSN:1507-2711
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