Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (11): 2835-2842.doi: 10.23940/ijpe.19.11.p1.28352842

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Performability Analysis for Feeding Unit of a Sugar Plant using Particle Swarm Optimization Technique

Gaurav Sharma* and P. C. Tewari   

  1. Department of Mechanical Engineering, N.I.T, Kurukshetra-136119, India
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address: reach4gaurav123@rediff.com
  • About author:Gaurav Sharma is a Ph.D. research scholar in the Department of Mechanical Engineering at the National Institute of Technology, Kurukshetra, India. His research areas of interest include Reliability, Simulation Modeling, Performance Optimization and System Behavioral Analysis. P. C. Tewari is a regular Professor in the Department of Mechanical Engineering at the National Institute of Technology, Kurukshetra, India. His fields of specializations are Industrial Engineering, Mathematical Modeling, Performance Evaluation and Optimization, System Behavioral Analysis, Reliability and Maintenance Resource Allocation.

Abstract: The present study illustrates the application of the Particle Swarm Optimization technique in a sugar plant for the purpose enhancing the performance in terms of availability of the operational units. After evaluation and analysis of unit performance by applying Markov approach, the algorithm of PSO technique is applied to optimize the level of performance. The results of the work reflect the modification of solution using PSO and one can further receive the most advantageous blend of failure rates and repair rates that will be used further by the maintenance department for the design of effective maintenance strategies.

Key words: performability analysis, feeding unit, markov technique, particle swarm optimization