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| In this issue: |
Issue 49, March 2005 |
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Reliability HotWire is a service of ReliaSoft Corporation To subscribe or update your e-mail preferences, go to http://www.weibull.com/hotwire/index.htm To remove yourself from this e-mail list: Send an e-mail with the word "REMOVE" in the subject line to HotWire@ReliaSoft.com |
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Using Warranty Return Data to Compare Different Product Designs Warranty data analysis is crucial for predicting the quantity of products that will be returned under warranty. Warranty data analysis conducted using Weibull++ 6 can allow an organization to make the most efficient allocation of resources to warranty services provision. This allows you to anticipate customer support needs and take the necessary steps to insure customer satisfaction with the warranty process. Warranty data analysis helps in quantifying the number of spare parts or replacement units to stock or supply to distributors. It also helps in scheduling and planning for service, shipping and distribution personnel and in budgeting for all the warranty service needs. Warranty data analysis can also be performed to compare different designs of a product. By comparing return data of different versions of a product (different designs or designs containing components from different suppliers), you can get a clear picture about what number of returns to expect depending on the version (design) of the product and can make a more informed decision about which design is more reliable. To
read more, see
http://www.weibull.com/hotwire/issue49/hottopics49.htm
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| Reliability Basics | |||||||||||||||||||||||||
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Introduction to the Crow-AMSAA Reliability Growth Model In "Reliability Analysis for Complex, Repairable Systems" (1974), Dr. Larry H. Crow noted that the Duane model could be stochastically represented as a Weibull process, allowing for statistical procedures to be used in the application of this model in reliability growth. This statistical extension became what is known as the Crow-AMSAA (N.H.P.P.) model. This method was first employed by the U.S. Army Materiel Systems Analysis Activity (AMSAA). It is frequently used on systems when usage is measured on a continuous scale. It can also be applied for high reliability, a large number of trials and one-shot items. Test programs are generally conducted on a phase by phase basis. The Crow-AMSAA model is designed for tracking the reliability within a test phase and not across test phases. To read more, see
http://www.weibull.com/hotwire/issue49/relbasics49.htm
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To read more, see
http://www.weibull.com/hotwire/issue49/tooltips49.htm
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Contributions Welcomed As always, your feedback and contributions are appreciated. ReliaSoft is able to provide the most user-friendly reliability software packages and support because we listen to our customers. This applies to our newsletters and publications as well. We welcome any suggestions or contributions you may have for Reliability HotWire. If you have a topic or article that you think would be useful to the readers of Reliability HotWire, feel free to contact us. We can be reached by e-mail at HotWire@ReliaSoft.com, or by standard mail at 1450 S. Eastside Loop, Tucson, AZ 85710-6703, USA. |
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Copyright © 2005 ReliaSoft Corporation, ALL RIGHTS RESERVED |
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Comments or Questions: Webmaster@ReliaSoft.comweibull.com is a service of ReliaSoft Corporation Copyright © 1992-2008 ReliaSoft Corporation, All Rights Reserved Last updated: 06/26/2008 06:59:00 PM |
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