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Informative Value of Measurements for Quality Management of Auto Parts

  • D. T. Safarov
  • S. V. Kasyanov
  • A. G. Kondrashov
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The end result of applying many modern methods of quality management is the development of corrective measures to intervene in the process in the form of general recommendations, without specific measures. Only for the sake of assessing the stability of the process according to one measure, the standard recommends conducting more than thousand measurements, which in no way can be recommended for the current production. As a result of the research, it was established that the methods of statistical management of quality indicators, correlation analysis, and other frequently used methods are extremely ineffective, in which corrective measures are developed after additional engineering procedures. We also proposed criteria for measuring the effectiveness and efficiency of analyzing measuring information. Measurement effectiveness indicator—the complexity of planning corrective actions based on measurement data. Efficiency is the laboriousness of carrying out the measurements themselves and analyzing the data. The increase of these indicators is ensured by: the preliminary assignment of the coordinates of the measurement points; measurement of the workpiece at these points; and identification of the position coordinates of the workpiece during processing. Measurement of the part at the same points after treatment, it is experimentally proved that the time for planning improvements is reduced by 3–6 times. The technique was tested in the factory by a number of enterprises—suppliers of auto components of KAMAZ Corp.

Keywords

Informative value of measurements Control effectiveness Geometric indices Deviation of accuracy index Improvement Corrective actions Quality management 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • D. T. Safarov
    • 1
  • S. V. Kasyanov
    • 1
  • A. G. Kondrashov
    • 1
  1. 1.Naberezhnye Chelny Institute (Branch) of Kazan Federal UniversityNaberezhnye ChelnyRussia

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