Redundancy allocation in series-parallel systems under warm standby and active components in repairable subsystems

•A bi-objective mathematical model is developed to optimize the reliability of a complicated system.•Different redundancy strategies with component mixing can be used in each subsystem.•An efficient simulation procedure is developed to estimate MTTF.•Multi Objective Water Flow algorithm (MOWFA) is p...

Full description

Saved in:
Bibliographic Details
Published in:Reliability engineering & system safety Vol. 192; p. 106048
Main Authors: Hadipour, Hassan, Amiri, Maghsoud, Sharifi, Mani
Format: Journal Article
Language:English
Published: Barking Elsevier Ltd 01.12.2019
Elsevier BV
Subjects:
Algorithms
Computer simulation
Design of experiments
Design parameters
Heuristic methods
Mean time to failure
Mean time to first failure
Neural network
Neural networks
Problem solving
Redundancy
Redundancy allocation problem
Reliability engineering
Simulation
Subsystems
System reliability
Systems design
Taguchi methods
Warm standby
Water flow
Water flow algorithm
Redundancy allocation problem
Neural network
Simulation
Mean time to first failure
Warm standby
Water flow algorithm
ISSN:0951-8320, 1879-0836
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•A bi-objective mathematical model is developed to optimize the reliability of a complicated system.•Different redundancy strategies with component mixing can be used in each subsystem.•An efficient simulation procedure is developed to estimate MTTF.•Multi Objective Water Flow algorithm (MOWFA) is proposed and compared to NSGA-II and NRGA.•Several multi-objective metrics are calculated to compare the performance of methods. Redundancy allocation is one of the most common approaches to increase the system reliability. In this study, a new model is developed to maximize mean time to failure and to minimize the cost of a system. In general, many researchers are now considering the active redundancy even more than before; however, it is possible for a particular system design to utilize active redundancy and warm-standby redundancy as well. In this model, each subsystem can use both active and warm-standby strategies simultaneously. Moreover, the model allows for component mixing such that components of different types may be used in each subsystem. Thus, the aim of the proposed model is to select the best redundancy strategy, components’ types and levels of redundancy for each subsystem. The simulation and neural network methods are applied considering the structural complexity of the model and repairable components. In order to solve the problem, meta-heuristic of Multi Objective Water Flow algorithm (MOWFA) is proposed and compared to NSGA-II and NRGA. Also, for tuning the meta-heuristics parameters, the Taguchi design of experiments is employed. The algorithms are used to solve 32 test problems and the results are compared. Finally, the results are analyzed and discussed.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2018.01.007