Optimization redundancy allocation problem with nonexponential repairable components using simulation approach and artificial neural network

Mojtaba Hemmati; Maghsoud Amiri; Mostafa Zandieh

doi:10.1002/qre.2249

Optimization redundancy allocation problem with nonexponential repairable components using simulation approach and artificial neural network

Quality and Reliability Engineering International ◽

10.1002/qre.2249 ◽

2018 ◽

Vol 34 (3) ◽

pp. 278-297 ◽

Cited By ~ 3

Author(s):

Mojtaba Hemmati ◽

Maghsoud Amiri ◽

Mostafa Zandieh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Allocation Problem ◽

Simulation Approach ◽

Redundancy Allocation Problem ◽

Redundancy Allocation ◽

Artificial Neural ◽

Repairable Components

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Solving the redundancy allocation problem of k-out-of-n with non-exponential repairable components using optimization via simulation approach

Scientia Iranica ◽

10.24200/sci.2017.4134 ◽

2017 ◽

Vol 24 (3) ◽

pp. 1547-1560

Author(s):

P. Azimi ◽

M. Hemmati ◽

A. Chambari

Keyword(s):

Allocation Problem ◽

Simulation Approach ◽

Redundancy Allocation Problem ◽

Redundancy Allocation ◽

Optimization Via Simulation ◽

Repairable Components

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Renewable Energy System Design by Artificial Neural Network Simulation Approach

2014 IEEE Electrical Power and Energy Conference ◽

10.1109/epec.2014.52 ◽

2014 ◽

Cited By ~ 1

Author(s):

Amar Kumar ◽

Marzia Zaman ◽

Nita Goel ◽

Vineet Srivastava

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Renewable Energy ◽

System Design ◽

Network Simulation ◽

Energy System ◽

Simulation Approach ◽

Neural Network Simulation ◽

Renewable Energy System ◽

Artificial Neural

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An ensemble simulation approach for artificial neural network: An example from chlorophyll a simulation in Lake Poyang, China

Ecological Informatics ◽

10.1016/j.ecoinf.2016.11.012 ◽

2017 ◽

Vol 37 ◽

pp. 52-58 ◽

Cited By ~ 13

Author(s):

Jiacong Huang ◽

Junfeng Gao

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Chlorophyll A ◽

Simulation Approach ◽

Ensemble Simulation ◽

Lake Poyang ◽

Artificial Neural

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Low cost microcontroller based fault detector, classifier, zone identifier and locator for transmission lines using wavelet transform and artificial neural network: A hardware co-simulation approach

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2016.02.015 ◽

2016 ◽

Vol 81 ◽

pp. 346-360 ◽

Cited By ~ 16

Author(s):

Ebha Koley ◽

Raunak Kumar ◽

Subhojit Ghosh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Wavelet Transform ◽

Transmission Lines ◽

Low Cost ◽

Simulation Approach ◽

Artificial Neural

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Multi-objective redundancy allocation problem for a system with repairable components considering instantaneous availability and strategy selection

Reliability Engineering & System Safety ◽

10.1016/j.ress.2016.10.009 ◽

2017 ◽

Vol 160 ◽

pp. 11-20 ◽

Cited By ~ 12

Author(s):

Farjam Kayedpour ◽

Maghsoud Amiri ◽

Mahmoud Rafizadeh ◽

Arash Shahryari Nia

Keyword(s):

Allocation Problem ◽

Strategy Selection ◽

Redundancy Allocation Problem ◽

Redundancy Allocation ◽

Multi Objective ◽

Repairable Components

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Redundancy allocation problem with a mixed strategy for a system with k-out-of-n subsystems and time-dependent failure rates based on Weibull distribution: An optimization via simulation approach

Scientia Iranica ◽

10.24200/sci.2018.20152 ◽

2018 ◽

Vol 0 (0) ◽

pp. 0-0

Author(s):

Pedram Pourkarim Guilani ◽

Parham Azimi ◽

Mani Sharifi ◽

Maghsoud Amiri

Keyword(s):

Weibull Distribution ◽

Mixed Strategy ◽

Allocation Problem ◽

Time Dependent ◽

Failure Rates ◽

Simulation Approach ◽

Redundancy Allocation Problem ◽

Redundancy Allocation ◽

Optimization Via Simulation ◽

Dependent Failure

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Bi-objective redundancy allocation problem for a system with mixed repairable and non-repairable components

ISA Transactions ◽

10.1016/j.isatra.2013.08.002 ◽

2014 ◽

Vol 53 (1) ◽

pp. 17-24 ◽

Cited By ~ 34

Author(s):

Hossein Zoulfaghari ◽

Ali Zeinal Hamadani ◽

Mostafa Abouei Ardakan

Keyword(s):

Allocation Problem ◽

Redundancy Allocation Problem ◽

Redundancy Allocation ◽

Repairable Components

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Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach

Computers & Operations Research ◽

10.1016/0305-0548(95)00056-9 ◽

1996 ◽

Vol 23 (6) ◽

pp. 515-526 ◽

Cited By ~ 82

Author(s):

David W. Coit ◽

Alice E. Smith

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Allocation Problem ◽

Redundancy Allocation Problem ◽

Redundancy Allocation ◽

Genetic Algorithm Approach

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A hybrid artificial neural network: computer simulation approach for scheduling a flow shop with multiple processors

International Journal of Industrial and Systems Engineering ◽

10.1504/ijise.2011.037243 ◽

2011 ◽

Vol 7 (1) ◽

pp. 66

Author(s):

Ali Azadeh ◽

Arash Naghavi ◽

Mohsen Moghaddam

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Computer Simulation ◽

Flow Shop ◽

Simulation Approach ◽

Network Computer ◽

Multiple Processors ◽

Artificial Neural ◽

Hybrid Artificial Neural Network

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An artificial neural network based decision support system for solving the buffer allocation problem in reliable production lines

Computers & Industrial Engineering ◽

10.1016/j.cie.2013.07.024 ◽

2013 ◽

Vol 66 (4) ◽

pp. 1150-1162 ◽

Cited By ~ 16

Author(s):

A.K. Tsadiras ◽

C.T. Papadopoulos ◽

M.E.J. O’Kelly

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Allocation Problem ◽

Buffer Allocation ◽

Production Lines ◽

Artificial Neural

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