Redundancy allocation problem of a system with increasing failure rates of components based on Weibull distribution: A simulation-based optimization approach

被引：31

作者：

Guilani, Pedram Pourkarim ^{[1
]}

Azimi, Parham ^{[1
]}

Niaki, S. T. A. ^{[2
]}

Niaki, Seyed Armin Akhavan ^{[3
]}

机构：

[1] Islamic Azad Univ, Qazvin Branch, Fac Ind & Mech Engn, Qazvin, Iran

[2] Sharif Univ Technol, Dept Ind Engn, POB 11155-9414 Azadi Ave, Tehran 1458889694, Iran

[3] W Virginia Univ, Dept Ind & Management Syst, Morgantown, WV 26506 USA

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2016年 / 152卷

关键词：

Reliability; Redundancy allocation problem; Weibull distribution; Simulation; Genetic algorithm; PARTICLE SWARM OPTIMIZATION; SERIES-PARALLEL SYSTEMS; RELIABILITY OPTIMIZATION; ANNEALING ALGORITHM; GENETIC ALGORITHM; STRATEGIES; CHOICE; DESIGN;

D O I：

10.1016/j.ress.2016.03.010

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The redundancy allocation problem (RAP) is a useful method to enhance system reliability. In most works involving RAP, failure rates of the system components are assumed to follow either exponential or k-Erlang distributions. In real world problems however, many systems have components with increasing failure rates. This indicates that as time passes by, the failure rates of the system components increase in comparison to their initial failure rates. In this paper, the redundancy allocation problem of a series parallel system with components having an increasing failure rate based on Weibull distribution is investigated. An optimization method via simulation is proposed for modeling and a genetic algorithm is developed to solve the problem. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：187 / 196

页数：10

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