Optimal burn-in strategy for two-dimensional warranted products considering preventive maintenance

被引:25
作者
Li, Xiaopeng [1 ,3 ]
Liu, Zixian [1 ]
Wang, Yukun [2 ,3 ]
Li, Mei [1 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Tianjin, Peoples R China
[2] Tianjin Chengjian Univ, Sch Econ & Management, Tianjin, Peoples R China
[3] Norwegian Univ Sci & Technol, Dept Mech & Ind Engn, Trondheim, Norway
基金
中国国家自然科学基金;
关键词
Burn-in; two-dimensional warranty; performance; warranty cost; preventive maintenance; FREE REPLACEMENT; TIME; DESIGN; MODELS; POLICY; SOLD; RELIABILITY; MINIMIZE; COST;
D O I
10.1080/00207543.2018.1526419
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Burn-in and preventive maintenance (PM) are effective approaches to reduce the number of warranty claims and warranty cost during post-sale support. With harsher burn-in settings, early product defects can be removed, but at the same time product degradation is accelerated and more wear-out failures may be introduced. PM actions within warranty alleviate these negative effects. This paper proposes an optimal burn-in strategy for repairable products sold with a two-dimensional base warranty (BW) and an optional extended warranty (EW). Both performance-based and cost-based models incorporating PMs are developed to obtain optimal burn-in settings, including the burn-in duration and the burn-in usage rate, so as to minimise the expected number of warranty claims and total cost respectively. The impacts of different accelerated coefficients and PM degrees on the optimal burn-in strategy are analysed. In view of the performance and cost structures, we conduct numerical examples to illustrate the applicability of the proposed models. Practical implications from a sensitivity analysis for key parameters are also elaborated.
引用
收藏
页码:5414 / 5431
页数:18
相关论文
共 39 条
[1]  
[Anonymous], 2014, RELIABILITY ENG
[2]  
Blischke WR, 2011, SPRINGER SER RELIAB, P1, DOI 10.1007/978-0-85729-647-4
[3]  
Boyd Stephen P., 2014, Convex Optimization
[4]   Stochastically Ordered Subpopulations and Optimal Burn-In Procedure [J].
Cha, Ji Hwan ;
Finkelstein, Maxim .
IEEE TRANSACTIONS ON RELIABILITY, 2010, 59 (04) :635-643
[5]   A failure-time model for infant-mortality and wearout failure modes [J].
Chan, V ;
Meeker, WQ .
IEEE TRANSACTIONS ON RELIABILITY, 1999, 48 (04) :377-387
[6]   OPTIMAL NUMBER OF PERIODIC PREVENTIVE MAINTENANCE OPERATIONS UNDER WARRANTY [J].
CHUN, YH .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 1992, 37 (03) :223-225
[7]   Helicopter gearbox fault detection: a neural network based approach [J].
Dellomo, MR .
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 1999, 121 (03) :265-272
[8]   Classes of imperfect repair models based on reduction of failure intensity or virtual age [J].
Doyen, L ;
Gaudoin, O .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2004, 84 (01) :45-56
[9]   Flexible-Duration Extended Warranties with Dynamic Reliability Learning [J].
Gallego, Guillermo ;
Wang, Ruxian ;
Ward, Julie ;
Hu, Ming ;
Beltran, Jose Luis .
PRODUCTION AND OPERATIONS MANAGEMENT, 2014, 23 (04) :645-659
[10]   Two-dimensional base warranty design based on a new demand function considering heterogeneous usage rate [J].
He, Shuguang ;
Zhang, Zhaomin ;
Zhang, Guohua ;
He, Zhen .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (23) :7058-7072