ASQ - Electronics and Communications Division

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

Abstract: © 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must first be obtained from the IEEE.

In the last decade, reliability improvement warranties (RIW) became increasingly popular with customers of machine tool manufacturers especially in the automotive industry. These RIWs include long term warranties (for up to 10 years) for reliability figures like the Mean Time Between Failure (MTBF). The long warranty period, the stochastic nature of reliability, unknown operational conditions and uncertainties regarding the reliability parameters of a component bear the risk of cost through high recourses due to low reliability. The paper shows approaches to lower the risks of high recourses in the bidding process and during operation of machine tools. The methods described in the paper are based on statistical failure analysis with the Weibull distribution and Monte Carlo simulation based warranty prognosis. It is shown that with a good knowledge of the infield reliability of their products, machine tool manufacturers have opportunities to not only calculate but also to lower risks of reliability improvement warranties.

Keywords: RAMS 2011 Proceedings - Warranty

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