Multi-objective optimization in the design of load sharing systems with mixed redundancy strategies under random shocks

The redundancy allocation problem (RAP) focuses on assigning one or more components in parallel to enhance the overall reliability of a system. Selecting a redundancy type (active or standby) for each component is a critical challenge in system design. Active components can share the load among them...

Full description

Saved in:
Bibliographic Details
Published inJournal of computational science Vol. 85; p. 102495
Main Authors Yaghtin, Mohammad, Javid, Youness, Ardakan, Mostafa Abouei
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.02.2025
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The redundancy allocation problem (RAP) focuses on assigning one or more components in parallel to enhance the overall reliability of a system. Selecting a redundancy type (active or standby) for each component is a critical challenge in system design. Active components can share the load among themselves (unlike standby components), and standby components are not subjected to shock attacks (unlike active components). This research presents a multi-objective optimization model to enhance system reliability and minimize costs. The proposed model is designed for a load-sharing system with a series-parallel structure, subject to shock attacks. Reliability (availability) is calculated using a stochastic approach based on the Markov chain, and the NSGA-II algorithm solves the multi-objective optimization problem. Two numerical examples investigate the proposed approach, identifying appropriate solutions through Pareto frontiers and analyzing the impact of load-sharing and shock attacks on optimization results. ●Introduces multi-objective RAP model for series-parallel mixed redundancy systems.●Proposes load-sharing model addressing failure dependency, under external shocks.●Uses extreme-shock model to capture active components' vulnerability.●Presents Markov chain algorithm for system availability and utilizes NSGA-II as a solution method.●Challenging system design by offering the flexibility to select a redundancy type (active or standby) for each component.
ISSN:1877-7503
DOI:10.1016/j.jocs.2024.102495