Reliability and cost optimization of series–parallel system with metaheuristic algorithm

Shivani Choudhary (), Mangey Ram (), Nupur Goyal () and Seema Saini ()
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Shivani Choudhary: Graphic Era Deemed to be University
Mangey Ram: Graphic Era Deemed to be University
Nupur Goyal: Graphic Era Deemed to be University
Seema Saini: Graphic Era Deemed to be University

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 4, No 12, 1456-1466

Abstract: Abstract This study looks into the numerous reliability aspects of a series–parallel system. The designed system is made up of the three subsystems A, B, and C that interconnected in a series–parallel manner. Subsystem B has two units, whereas subsystems A and C have a single unit. Here, the system reliability measures such as reliability, availability, and mean time to failure using Laplace transformation and Markov’s process are evaluated. This study deals with minimize cost while system having the maximum reliability as constraining from one of the metaheuristic algorithms i.e., Particle Swarm Optimization (PSO). Lastly, a numerical example and graphical representation has been shown that the proposed methods are effective and efficient for solving reliability measures and cost problems.

Keywords: Series–parallel system; Reliability; Optimization; PSO; Markov process (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13198-023-01905-4

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