 Selection of performance parameter for optimisation of availability of industrial system using particle swarm optimisationAjay Kumar and Devender Singh Punia International Journal of Intelligent Enterprise, 2024, vol. 11, issue 3, 274-299 Abstract: Today automation has become the necessity of a highly reliable industrial system which leads to the use of highly complex systems. In the present paper the performance modelling of complex multi-state system of industrial system for optimisation of availability is analysed using particle swarm optimisation (PSO). The steady state analysis (SSA) and transient state analysis (TSA) is done using Markov mathematical modelling. The decision support system for the considered system for repair priority of subsystem is presented for increasing the availability of system. The selection of various failure and repair rate for maximisation of availability is done using PSO. It is observed that the results obtained by PSO are beneficial for deciding the optimised failure rate as well as repair rate for maximum availability of system thus the increase in availability and decrease in failure rates decrease the overall cost of production. Keywords: availability; particle swarm optimisation; PSO; maintenance; decision support system; failure rate; repair rate; steady state analysis; SSA; transient state analysis; TSA. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijient:v:11:y:2024:i:3:p:274-299 Access Statistics for this article More articles in International Journal of Intelligent Enterprise from Inderscience Enterprises Ltd |
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