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Performance optimisation for ethanol manufacturing system of distillery plant using particle swarm optimisation algorithm

Author

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  • Amit Kumar
  • Vinod Kumar
  • Vikas Modgil

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.

Suggested Citation

  • Amit Kumar & Vinod Kumar & Vikas Modgil, 2018. "Performance optimisation for ethanol manufacturing system of distillery plant using particle swarm optimisation algorithm," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 5(4), pages 345-364.
    • Handle: RePEc:ids:ijient:v:5:y:2018:i:4:p:345-364
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    Cited by:

    1. Subhash Malik & P. C. Tewari, 2023. "Performability and maintenance decisions for coal ash handling system of a subcritical thermal power plant," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 45-54, February.
    2. Deepak Sinwar & Monika Saini & Dilbag Singh & Drishty Goyal & Ashish Kumar, 2021. "Availability and performance optimization of physical processing unit in sewage treatment plant using genetic algorithm and particle swarm optimization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1235-1246, December.

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