Title: Minimising quality uncertainty by the root-cause and failure analysis method

Authors: Lalit Wankhade, Balaji M. Dabade

Addresses: Department of Production Engineering, SGGS Institute of Engineering and Technology, Vishnupuri, Nanded 431606 (MS), India. ' Department of Production Engineering, SGGS Institute of Engineering and Technology, Vishnupuri, Nanded 431606 (MS), India

Abstract: The occurrence of quality uncertainty due to information asymmetry is a complex phenomenon. This paper attempts to develop a simpler method for minimising quality uncertainty. The paper 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 in the Appendix. The issues resulting from this analysis are then prioritised. 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: quality uncertainty; developed nations; developing countries; seven management tools; root-cause analysis; failure analysis; information asymmetry; affinity; interrelationship diagram.

DOI: 10.1504/IJMDM.2009.026683

International Journal of Management and Decision Making, 2009 Vol.10 No.5/6, pp.359 - 385

Published online: 23 Jun 2009 *

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