Quality assurance using accelerated life testing via rebate warranty
Showkat Ahmad Lone,
Intekhab Alam,
Sabir Ali Siddiqui and
Ritu Rathee
International Journal of Industrial and Systems Engineering, 2024, vol. 48, issue 1, 37-51
Abstract:
Accelerated life testing (ALT) has now become the primary method for rapidly assessing product reliability. Designing highly effective test models is a vital step in ensuring that ALT can properly, quickly, and economically assess product reliability. These tests subject the sample to high levels of stress. Then, based on the stress-life relationship, the failure data can be extrapolated from a sample at a high-stress level to a normal level to calculate product life at usual operating conditions. The study is an advanced proposal to analyse ALT schemes for the quality improvement and reliability of modern products. The problem is investigated using constant stress, assuming that the unit lifetimes follow the power-function distribution. Furthermore, as a procedure that employs ALT to predict the cost of age replacement of goods covered by a warranty agreement. A mathematical example is also used to demonstrate theoretical findings. The result will prove an asset for marketing providers in estimating the various costs associated with the product under the warranty policy. Hence, it can help manufacturers to increase the reliability/quality of their products to achieve consumer satisfaction.
Keywords: product life acceleration; age-replacement warranty; power-function model; simulation analysis; accelerated life testing; ALT. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=140669 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:48:y:2024:i:1:p:37-51
Access Statistics for this article
More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().