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

共 29 条

[1] Optimizing bi-objective redundancy allocation problem with a mixed redundancy strategy [J].

Ardakan, Mostafa Abouei ;

Hamadani, Ali Zeinal ;

Alinaghian, Mehdi .

ISA TRANSACTIONS, 2015, 55 :116-128

[2] OPTIMAL ALLOCATION OF REDUNDANT COMPONENTS FOR LARGE SYSTEMS [J].

BULFIN, RL ;

LIU, CY .

IEEE TRANSACTIONS ON RELIABILITY, 1985, 34 (03) :241-247

[3] An efficient simulated annealing algorithm for the redundancy allocation problem with a choice of redundancy strategies [J].

Chambari, Amirhossain ;

Najafi, Amir Abbas ;

Rahmati, Seyed Habib A. ;

Karimi, Aida .

RELIABILITY ENGINEERING & SYSTEM SAFETY, 2013, 119 :158-164

[4] A bi-objective model to optimize reliability and cost of system with a choice of redundancy strategies [J].

Chambari, Amirhossain ;

Rahmati, Seyed Habib A. ;

Najafi, Amir Abbas ;

Karimi, Aida .

COMPUTERS & INDUSTRIAL ENGINEERING, 2012, 63 (01) :109-119

[5] ON THE COMPUTATIONAL-COMPLEXITY OF RELIABILITY REDUNDANCY ALLOCATION IN A SERIES SYSTEM [J].

CHERN, MS .

OPERATIONS RESEARCH LETTERS, 1992, 11 (05) :309-315

[6]

Coit D.W., 2000, INT J RELIABILITY QU, V7, P129, DOI DOI 10.1142/S0218539300000110

[7] Penalty guided genetic search for reliability design optimization [J].

Coit, DW ;

Smith, AE .

COMPUTERS & INDUSTRIAL ENGINEERING, 1996, 30 (04) :895-904

[8]

Coit DW, 2003, IIE TRANS, V35, P535, DOI 10.1090/07408170390183062

[9] Reliability optimization of series-parallel systems using a genetic algorithm [J].

Coit, DW ;

Smith, AE .

IEEE TRANSACTIONS ON RELIABILITY, 1996, 45 (02) :254-&

[10] Design of SCADA water resource management control center by a bi-objective redundancy allocation problem and particle swarm optimization [J].

Dolatshahi-Zand, Ali ;

Khalili-Damghani, Kaveh .

RELIABILITY ENGINEERING & SYSTEM SAFETY, 2015, 133 :11-21

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