Availability optimisation of heat treatment process using particle swarm optimisation approach Online publication date: Fri, 05-Jan-2024
by Ajay Kumar; Devender Singh Punia
International Journal of Industrial and Systems Engineering (IJISE), Vol. 45, No. 4, 2023
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook