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Root Cause Analysis for Quality Management

  • Christian Manuel Strobel
  • Tomas Hrycej
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

In industrial practice, quality management for manufacturing processes is often based on process capability indices (PCI) like C p ,C pm ,C pk and C pmk . These indices measure the behavior of a process incorporating its statistical variability and location and provide a unitless quality measure. Unfortunately, PCIs are not able to identify those factors, having the major impact on quality as they are only based on measurement results and do not consider the explaining process parameters. In this paper an Operational Research approach, based on Branch and Bound is derived, which combines both, the numerical measurements and the nominal process factors. This combined approach allows to identify the main source for minor or superior quality of a manufacturing process.

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References

  1. BALAMURALI S. and KALYANASUNDARAM M. (2002): Bootstrap lower confidence lim-its for the process capability indices Cp, Cpk and Cpm. International Journal of Quality & Reliability Management , 19, 1088-1097.CrossRefGoogle Scholar
  2. BISSELL A. (1990): How Reliable is Your Capability Index? Applied Statistics , 39, 331-340zbMATHCrossRefMathSciNetGoogle Scholar
  3. KOTZ, S. and JOHNSON, N. (2002): Process Capability Indices - A Review, 19922000. Journal of quality technology , 34, 2-53.Google Scholar
  4. PEARN, W. and CHEN. K. (1997): Capability indices for non-normal distributions with an ap-plication in electrolytic capacitor manufacturing . Microelectronics Reliability, 37, 1853-1858.CrossRefGoogle Scholar
  5. VÄNNMANN, K. (1995): A Unified Approach to Capability Indices. Statistica Sinica, 5, 805-820.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Christian Manuel Strobel
    • 1
  • Tomas Hrycej
    • 2
  1. 1.University of Karlsruhe (TH)Germany
  2. 2.DaimlerChrysler AGGermany

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