Application of an Intelligent Hybrid Metaheuristic Algorithm for Multiobjective Redundancy Allocation Problem with Sustainable Maintenance

The present study aimed to optimize the redundancy allocation problem based on sustainable maintenance. For this purpose, the goal is to design a complex system based on redundancy allocation by considering the weight and reliability criteria of the system and the maintenance and repair costs throug...

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Bibliographic Details
Published in:Mathematical problems in engineering 2021, Vol.2021, p.1-12
Main Authors: Tjahjono, Tri, Mavaluru, Dinesh, Fathima, Dowlath, Thiyagarajan, Akila, Suksatan, Wanich, Salikhovich Tuguz, Nalbiy, Melnikova, Lyubov A., Husein, Ismail, Thangavelu, Lakshmi, Abilmazhinov, Yermek, Habib, Mamun
Format: Article
Language:English
Subjects:
Budgets
Complex systems
Component reliability
Customer satisfaction
Design
Energy costs
Failure times
Genetic algorithms
Heuristic methods
Hybrid systems
Maintenance
Maintenance costs
Mathematical models
Mathematical problems
Optimization
Optimization algorithms
Preventive maintenance
Redundancy
Repair
Repair & maintenance
Simulated annealing
Simulation
Spare parts
Sustainability
System reliability
Weibull distribution
Weight
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Summary:The present study aimed to optimize the redundancy allocation problem based on sustainable maintenance. For this purpose, the goal is to design a complex system based on redundancy allocation by considering the weight and reliability criteria of the system and the maintenance and repair costs through the sustainability approach. In this regard, a mathematical model has been developed. This model minimizes system reliability and system weight simultaneously. There are also budget constraints on repair costs, environmental costs, purchase of spare parts, and energy risk costs. In order to optimize this model, a hybrid algorithm based on Whale Optimization Algorithm (WOA), Genetic Algorithm (GA), and Simulated Annealing (SA) is proposed. Accordingly, 81 test problems are provided and optimized by the proposed algorithm. The obtained numerical results indicate that, with increasing failure time of each component, the system’s reliability increases and the weight of the whole system increases. Moreover, changing the Weibull distribution parameters directly affects the total amount of system reliability, but does not have a definite and accurate effect on the total weight of the system. Moreover, increasing the budget for maintenance leads to finding solutions with more reliability and less weight.
ISSN:1024-123X
1563-5147
DOI:10.1155/2021/7709788