Early life reliability growth testing with non-constant failure intensity

被引:1
|
作者
Haselgruber, Nikolaus [1 ]
Capser, Shawn P. [2 ]
Vignati, Giorgio, I [3 ]
机构
[1] CIS Consulting Ind Stat GmbH, Wendgasse 15, A-4170 Haslach, Austria
[2] ESi Inc, 1174 Oak Valley Dr, Ann Arbor, MI 48108 USA
[3] ITI Srl, Via Michele Novaro 16, I-20161 Milan, Italy
关键词
Reliability growth; early life; warranty; repairable objects; failure rate; product quality; product performance;
D O I
10.1016/j.procs.2021.01.283
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Early-life reliability is a key characteristic for complex technical products as it addresses the very first time-span of product use. Any unreliability in this phase jeopardizes both customer satisfaction, as well as warranty costs and finally the economic success. Review of several early-life warranty cases shows a mix of classical reliability issues, i.e., problems occurring during usage time, and quality related issues that often manifest themselves during initial inspections by product quality or even the customer, i.e., at usage time t = 0. Classical reliability growth models do not explicitly consider these two different sources of unreliability but require zero failures at time zero and provide time-dependent reliability estimates. We present a model which shares the concept of time-dependent reliability measures but considers in addition the initial quality issues. By taking advantage of well-known reliability growth models and basic statistical principles we were able to provide a flexible approach useful for practical application. (C) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页码:608 / 617
页数:10
相关论文
共 50 条
  • [1] Estimation of system reliability using a "non-constant failure rate" model
    Jones, J
    Hayes, J
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2001, 50 (03) : 286 - 288
  • [2] RELIABILITY CALCULATIONS FOR SYSTEMS AND COMPONENTS IN ELECTRICITY SUPPLY WITH NON-CONSTANT FAILURE AND REPAIR RATES
    EDWIN, KW
    TRAEDER, G
    [J]. ELEKTROTECHNISCHE ZEITSCHRIFT ETZ-A, 1978, 99 (08): : 471 - 475
  • [3] On the neoclassical growth model with non-constant discounting
    Hiraguchi, Ryoji
    [J]. ECONOMICS LETTERS, 2014, 125 (02) : 175 - 178
  • [4] Ramsey model with non-constant population growth
    Kajanovicova, Viktoria
    Novotny, Branislav
    Pospisil, Michal
    [J]. MATHEMATICAL SOCIAL SCIENCES, 2020, 104 : 40 - 46
  • [5] Comparisons of block diagram and Markov method system reliability and mean time to failure results for constant and non-constant unit failure rates
    Dhillon, BS
    Yang, N
    [J]. MICROELECTRONICS AND RELIABILITY, 1997, 37 (03): : 505 - 509
  • [6] Unbounded growth in the Neoclassical growth model with non-constant discounting
    Cabo, Francisco
    Martin-Herran, Guiomar
    Pilar Martinez-Garcia, Maria
    [J]. MATHEMATICAL SOCIAL SCIENCES, 2016, 84 : 93 - 104
  • [7] Optimal design for reliability improvement experiments with a non-constant scale parameter
    Wang, Guodong
    Li, Xiaoyang
    Fang, Guanqi
    He, Zhen
    Vining, Geoff
    [J]. QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2023, 21 (06): : 869 - 886
  • [8] Non-constant discounting and consumption, portfolio and life insurance rules
    Marin-Solano, Jesus
    Navas, Jorge
    Roch, Oriol
    [J]. ECONOMICS LETTERS, 2013, 119 (02) : 186 - 190
  • [9] Growth, technology, and environmental change - Nonlinearity and non-constant returns
    Zhang, WB
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2002, 7 (04) : 261 - 268
  • [10] Non-constant discounting and Ak-type growth models
    Cabo, Francisco
    Martin-Herran, Guiomar
    Pilar Martinez-Garcia, Maria
    [J]. ECONOMICS LETTERS, 2015, 131 : 54 - 58