Reliability Analysis And Prediction With Warranty Data


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Reliability Analysis and Prediction with Warranty Data


Reliability Analysis and Prediction with Warranty Data

Author: Bharatendra K. Rai

language: en

Publisher:

Release Date: 2009


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Reliability Analysis and Prediction with Warranty Data


Reliability Analysis and Prediction with Warranty Data

Author: Bharatendra K. Rai

language: en

Publisher: CRC Press

Release Date: 2009-04-28


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Through simple, practical approaches, Reliability Analysis and Prediction with Warranty Data: Issues, Strategies, and Methods helps Six Sigma black belts and engineers successfully interpret warranty data to make accurate predictions. It discusses how to use this data to define and analyze field problems, provides guidelines for discovering the roo

Warranty Data Collection and Analysis


Warranty Data Collection and Analysis

Author: Wallace R. Blischke

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-07-28


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Warranty Data Collection and Analysis deals with warranty data collection and analysis and the problems associated with these activities. The book is a both a research monograph and a handbook for practitioners. As a research monograph, it unifies the literature on warranty data collection and analysis, and presents the important results in an integrated manner. In the process, it highlights topics that require further research. As a handbook, it provides the essential methodology needed by practitioners involved with warranty data collection and analysis, along with extensive references to further results. Models and techniques needed for proper and effective analysis of data are included, together with guidelines for their use in warranty management, product improvement, and new product development. Warranty Data Collection and Analysis will be of interest to researchers (engineers and statisticians) and practitioners (engineers, applied statisticians, and managers) involved with product warranty and reliability. It is also suitable for use as a reference text for graduate-level reliability programs in engineering, applied statistics, operations research, and management.