RESEARCH PAPER
A multi-stage risk-adjusted control chart for monitoring and early-warningof products sold with two-dimensional warranty
| 1 | College of Management and Economics Tianjin University No.92, Weijin Road, Nankai District, Tianjin, China |
Publication date: 2018-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2018;20(2):300–307
KEYWORDS
two-dimensional product warrantyclaims datamonitoring and early-warningmulti-stage controlchartaccelerated failure modelrisk adjustment
ABSTRACT
Warranty claims data contain valuable information about the quality and reliability of products. The monitoring and early-warning of warranty claims data are of great significance to the manufacturer by identifying and solving the emerging quality or reliability problem as soon as possible. However, though it has been used widely in the automobile industry, there are no studies that
have been carried out on the monitoring and early-warning of claims data for products sold with two-dimensional warranty. In
order to fill this gap, fitting the two-dimensional warranty claims data with accelerated failure model (AFT), a multi-stage riskadjusted control chart is proposed by this paper, for which a reasonable product sales tracking time and a monitoring time are
suggested to reduce the influence of sales delay and fluctuating claim rates. Comparing with traditional Cumulative Sum Control
Chart (CUSUM), the applicability and availability of the proposed model are demonstrated in the final.
REFERENCES (20)
1.
Altun M, Comert S V. A change-point based reliability prediction model using field return data. Reliability Engineering & System Safety 2016; 156: 175-184, https://doi.org/10.1016/j.ress....
2.
Asadzadeh S, Aghaie A, Shahriari H. Using frailty models to account for heterogeneity in multistage manufacturing and service processes. Quality & Quantity 2014; 48(2): 593-604, https://doi.org/10.1007/s11135....
3.
Baik J.: Reliability assessment based on two-dimensional warranty data and an accelerated failure time model. International Journal of Reliability & Safety 2008; 2(3): 190-208, https://doi.org/10.1504/IJRS.2....
4.
Grabert M, Prechtel M, Hrycej T, et al. An Early Warning System for Vehicle Related Quality Data. In: Advances in Data Mining, Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications, Industrial Conference on Data Mining, 2004: 88-95, https://doi.org/10.1007/978-3-....
5.
Haq A, Al-Omari A I. A new Shewhart control chart for monitoring process mean based on partially ordered judgment subset sampling. Quality & Quantity 2015; 49(3): 1-18, https://doi.org/10.1007/s11135....
6.
Honari B, Donovan J. Early Detection of Reliability Changes for a Non-Poisson Life Model Using Field Failure Data.In: Reliability and Maintainability Symposium 2007: 346-349, https://doi.org/10.1109/RAMS.2....
7.
Iskandar B P, Murthy D N P. Repair-replace strategies for two-dimensional warranty policies. Mathematical & Computer Modelling 2003; 38(11-13): 1233-1241,.
8.
J. F. Lawless, M. J. Crowder, K.- A. Lee. Monitoring Warranty Claims With Cusums. Technometrics 2012; 54(3): 269-278, https://doi.org/10.1080/004017....
9.
Lee S H, Lee S J, Moon K I. Application of Fuzzy Feedback Control for Warranty Claim. International Journal on Information 2011; 351(11): 279-288, https://doi.org/10.1007/978-3-....
10.
Lee S H, Seo S C, Yeom S J, et al. A Study on Warning/Detection Degree of Warranty Claims Data Using Neural Network Learning. In: International Conference on Advanced Language Processing and Web Information Technology. IEEE 2007: 492-497, https://doi.org/10.1109/ALPIT.....
11.
Na C S, Jung B S. AHP-Based Determination of Warning Grade in a Warranty Claims 2010; 11 (12): 5097-5106.
12.
Odanaka T. Control chart and stochastic control processes. Computers & Mathematics with Applications 1991; 21(11-12): 65-78, https://doi.org/10.1016/0898-1....
13.
Shahanaghi K, Noorossana R, Jalali-Naini S G, et al. Failure modeling and optimizing preventive maintenance strategy during two-dimensional extended warranty contracts. Engineering Failure Analysis 2013; 28(3): 90-102, https://doi.org/10.1016/j.engf....
14.
Varnosafaderani S, Chukova S.: A two-dimensional warranty servicing strategy based on reduction in product failure intensity. Computers & Mathematics with Applications 2012; 63(1), 201-213. https://doi.org/10.1016/j.camw....
15.
Veiga P, Mendes L, Lourenço L. A retrospective view of statistical quality control research and identification of emerging trends: a bibliometric analysis. Quality & Quantity 2016; 50(2): 1-20, https://doi.org/10.1007/s11135....
16.
Wu H, Meeker W Q. Early Detection of Reliability Problems Using Information from Warranty Databases. Technometrics 2002; 44(2): 120-133, https://doi.org/10.1198/004017....
17.
Wu S. Warranty Data Analysis: A Review. Quality & Reliability Engineering International 2012; 28(8): 795-805, https://doi.org/10.1002/qre.12....
18.
Yeh R H, Chen C K. Periodical Preventive-Maintenance Contract for a Leased Facility with Weibull Life-Time. Quality & Quantity 2006; 40(2): 303-313, https://doi.org/10.1007/s11135....
19.
Zhou C, Chinnam R B, Korostelev A. Hazard rate models for early detection of reliability problems using information from warranty databases and upstream supply chain. International Journal of Production Economics 2012; 139(1): 180-195, https://doi.org/10.1016/j.ijpe....
20.
ZH Cheng, Yang Z Y, Zhao Z, et al. Preventive maintenance strategy optimizing model under two-dimensional warranty policy. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2015; 17(3): 365-372, https://doi.org/10.17531/ein.2....
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.