Skip to main content
Kent Academic Repository

Warranty Claims Data Analysis Considering Sales Delay

Akbarov, Artur, Wu, Shaomin (2013) Warranty Claims Data Analysis Considering Sales Delay. Quality and Reliability Engineering International, 29 (1). pp. 113-123. ISSN 0748-8017. (doi:10.1002/qre.1302) (KAR id:31994)


Sales delay is the time interval from the date of manufacture to the date of sale. In analysing warranty claims data, the existing research relating to the sales delay has mainly focussed on estimating the probability distribution of the sales delay. Longer sales delay may lead to more warranty claims as it can affect the post-sale reliability of products. However, research into this problem has received little attention. This article estimates the expected number of warranty claims under both renewing and non-renewing warranty policies taking into account the sales delay. We consider the case with three states, the sales delay state, the operating state and the failed state. We extend the three-state case into an n state system case, where nâ?¥3. We then give numerical examples to demonstrate the application of the derived equations. We also present a simulation and a case study where we estimate the reliability of products with three states.

Item Type: Article
DOI/Identification number: 10.1002/qre.1302
Additional information: Unmapped bibliographic data: AD - School of Applied Sciences Cranfield University Bedfordshire MK43 0AL UK [Field not mapped to EPrints] JA - Qual Reliab Eng Int [Field not mapped to EPrints]
Uncontrolled keywords: Failure rate, Multistate components, Non-homogeneous Poisson process, Sales delay, Warranty claims
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 26 Oct 2012 15:56 UTC
Last Modified: 16 Nov 2021 10:09 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.