Abstract
In this research study, particle swarm optimisation (PSO) has been implemented for availability analysis of a complex repairable industrial system namely mash kettle of an existing brewery plant. PSO algorithm is computationally simple and efficient. The mash kettle system is modelled structurally representing its various constituent elements/components and their interconnections. Probability relationship of different feasible state are generated using the transition diagram. Performance analysis is done to observe the criticality of the constituent elements/components. The particle swarm optimisation algorithm provides a varied and wide range of performance measures of various elements/components for a predetermined optimised value of the availability of the system. PSO algorithm is validated by comparing with genetic algorithm and Markov methods for the results of optimal availability. The consequences of this paper will be beneficial for the maintenance engineer and plant staff to accomplish best attainable system performance/availability and to plan appropriate maintenance strategies.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Productivity and Quality Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
