Library

Warranty cost improvement of machine tools during the bidding process and operation

by Werner, Patrick; Lanza, Gisela; Behmann, Benjamin; Appel, Dominic

The paper shows a method to optimize warranty costs for reliability improvement warranties for machine tools in the bidding process and during operation..

  • Filetype: pdf
  • Publish date: 2011-01
  • Keywords:RAMS 2011 Proceedings, Warranty

Spares Provisioning for Repairable Systems under Fleet Expansion

by Tang, Loon Ching; Liu, Xiao

This paper integrates reliability monitoring of repairable systems with strategies for spare provisioning when a fleet of repairable systems are acquired in stages, possibly over a few years. An application is presented through a MATLAB interface to.....

  • Filetype: pdf
  • Publish date: 2011-01
  • Keywords:RAMS 2011 Proceedings, Product Reliability, Reliability Model, Warranty

Optimal Spares Analysis for a Networking System Manufacturer

by Huffman, Duane L.; Crytzer, Ryan

In this paper, we show how this process was modeled using a software analysis tool that supports reliability block diagram (RBD) analysis with spares optimization. The easily configured model is capable of performing spares optimizations for multiple.....

  • Filetype: pdf
  • Publish date: 2011-01
  • Keywords:RAMS 2011 Proceedings, Product Reliability, Reliability Model, Reliability Block Diagram, Warranty

Materiel Availability Modeling and Analysis for a Complex Army Weapon System

by Jeffrey A. Martin,; Hoffman, Matthew J.; Gunther, David W.; Anderson, Dennis J.

(Am) is a new, required Department of Defense Key Performance Parameter. Sandia National Laboratories, in conjunction with several US Army organizations, developed the analytical underpinnings, assumptions, and brigade level modeling approach, using.....

  • Filetype: pdf
  • Publish date: 2011-01
  • Keywords:RAMS 2011 Proceedings, Product Reliability, Reliability Model, Warranty

Customized Warranty Policies for Heterogeneous Populations

by St. John, Dia; Cassady, C. Richard;

A method to calculate warranty profits by offering "customized" warranties to heterogeneous customer populations...

  • Filetype: pdf
  • Publish date: 2010-01
  • Keywords:RAMS 2010 Proceedings,Warranty, Process Management, Statistics

Piecewise NHPP Models with Maximum Likelihood Estimation for Repairable Systems

by Pengying Niu; Huairui Guo; Georgios Sarakakis; Adamantios Mettas;

In this paper, we proposed a piecewise NHPP model for repairable systems with multiple stages. The maximum likelihood estimation (MLE) for the model parameters is also provided...

  • Filetype: pdf
  • Publish date: 2010-01
  • Keywords:RAMS 2010 Proceedings, Warranty

Analysis of Data to Predict Warranty Cost for Various Regions

by Vinta, Siva

This study shows that, how to take the complex failure information for different regions and break it down to main categories...

  • Filetype: pdf
  • Publish date: 2009-02
  • Keywords:RAMS 2009 Proceedings,Warranty, Failure Rate, FMEA, Weibull

Optimization of Warranty Period, Price, and Allocated Reliability

by Mohan, Karen; Huffman, Duane; Akers, Jennifer

This paper shows the method to choose the allocated reliability of each subsystem, the warranty period of the product, and the sales price of the product in order to maximize the profit...

  • Filetype: pdf
  • Publish date: 2009-02
  • Keywords:RAMS 2009 Proceedings,Warranty, Reliability Analysis/Allocation/Prediction/Estimation, R&M Modeling and Optimization, Life Cycle Cost

Warranty Prediction for Products with Random Stresses and Usages

by Guo, Huairui; Monteforte, Ariai; Mettas, Adamantios; Ogden, Doug

Making accurate warranty predictions is challenging. It becomes even more challenging when products are operated under random stresses and random usages...

  • Filetype: pdf
  • Publish date: 2009-02
  • Keywords:RAMS 2009 Proceedings,Accelerated Life Testing, Strength-Load, Monte Carlo Analysis, Warranty

A Practical Method for Failure Analysis Using Incomplete Warranty Data

by Mohan, Karen; Cline, Brad; Akers, Jennifer

In this paper, we show that when the failure history information is incomplete, the failure distribution of the product can be determined using Bayesian analysis techniques applicable for handling incomplete data..

  • Filetype: pdf
  • Publish date: 2008-02
  • Keywords:RAMS 2008 Proceedings, Failure Analysis, Warranty, Bayesian Analysis

ASQ News

Take a look at the presentations from the 2014 ASQ Technical Communities Conference.

 

 

 

RAMS 2015