 Performance optimisation for ethanol manufacturing system of distillery plant using particle swarm optimisation algorithmAmit Kumar, Vinod Kumar and Vikas Modgil International Journal of Intelligent Enterprise, 2018, vol. 5, issue 4, 345-364 Abstract: The paper deals with performance optimisation for ethanol manufacturing system of distillery plant using particle swarm optimisation (PSO) algorithm. The performance of the system is first estimated with the help of transition diagram and a mathematical model based on Markov approach in real working environment. The differential equations associated with the transition diagram are developed assuming that the failure and repair rate parameters of each component follow the exponential distribution. The long-run availability expression for the system has been derived with probabilistic approach using normalising condition. The availability of the system is then computed with the help of PSO technique and compared with the genetic algorithm (GA) results to verify the solution. The results show that PSO modifies the solution more precisely and provides the optimum combinations of failure and repair rate parameters for various subsystems which are practically useful in maintenance planning for plant personnel. Keywords: long-run availability; ethanol manufacturing system; Markov approach; particle swarm optimisation; PSO; genetic algorithm; GA; performance optimisation. (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:5:y:2018:i:4:p:345-364 Access Statistics for this article More articles in International Journal of Intelligent Enterprise from Inderscience Enterprises Ltd |
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