Title: Availability optimisation of heat treatment process using particle swarm optimisation approach

Authors: Ajay Kumar; Devender Singh Punia

Addresses: Department of Mechanical Engineering, Deen Bandhu Chotu Ram University of Science and Technology, Murthal-Sonepat-Haryana, India ' Department of Mechanical Engineering, Deen Bandhu Chotu Ram University of Science and Technology, Murthal-Sonepat-Haryana, India

Abstract: In this research paper a methodology is presented for prediction of performance parameters of a series parallel industrial system. The particle swarm optimisation (PSO) technique is used for evaluating the performance of industrial system and the Markov method is used for mathematical modelling. The mean time to failure is calculated to be 352 days and it is observed that after 30 days the reliability of the system became steady state which shows the bathtub behaviour. Using the PSO technique for maximising the system availability (SA) with ranges of performance parameters selected from the real industrial system, the different economical possible performance measures for maximum availability is predicted which are helpful for reduction in cost of production. From the performance analysis the optimised availability using PSO is estimated 94.25% whereas it is 93.60% using Markov method.

Keywords: availability; steady state analysis; SSA; particle swarm optimisation; PSO; reliability; transient state analysis; TSA.

DOI: 10.1504/IJISE.2023.135774

International Journal of Industrial and Systems Engineering, 2023 Vol.45 No.4, pp.432 - 457

Received: 17 May 2021
Accepted: 24 Dec 2021
Published online: 05 Jan 2024 *

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