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Root Cause and Failure Analysis of Quality Uncertainty

  • Lalit Wankhade
  • Balaji Dabade
Chapter
Part of the Contributions to Management Science book series (MANAGEMENT SC.)

Abstract

The occurrence of quality uncertainty due to information asymmetry is a complex phenomenon. This chapter attempts to develop a simpler method for minimizing quality uncertainty. This chapter undertakes a root-cause analysis of quality uncertainty by using an affinity and Interrelationship Diagram (ID). The data generated through the ID is then used for the failure analysis of quality uncertainty. The feasibility of this failure analysis is demonstrated by using the case of ball bearing. The issues resulting from this analysis are then prioritized. The comparison of quality uncertainty between developing and developed nations is also unraveled. This mechanism can be used by focusing on the industry-specific factors.

Keywords

Information Asymmetry Failure Analysis Develop Nation Ball Bearing Quality Function Deployment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Besterfield DH, Besterfield-Michna C, Besterfield GH, Besterfield-Sacre M (2003) Total quality management. Pearson Education, SingaporeGoogle Scholar
  2. Connor P, Newton D, Bromley R (2002) Practical reliability engineering. Wiley, EnglandGoogle Scholar
  3. Doggett AM (2004) A statistical comparison of three root cause analysis tools. J Ind Technol 20(2):2–9Google Scholar
  4. Gupta AK (1996) Reliability engineering and terotechnology. Macmillan India Limited, New DelhiGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.SGGS Institute of Engineering & Technology Dept. Production EngineeringNandedIndia

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