Performance enhancement for crystallization unit of a sugar plant using genetic algorithm technique

Authors

1 Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Haryana, 136119, India

2 Department of Mechanical Engineering, Seth Jai Parkash Mukand Lal Institute of Engineering and Technology (JMIT), Radaur, Yamuna Nagar, Haryana135133, India

Abstract

This paper deals with the performance enhancement for crystallization unit of a sugar plant using genetic
algorithm. The crystallization unit of a sugar industry has three main subsystems arranged in series. Considering
exponential distribution for the probable failures and repairs, the mathematical formulation of the problem is done
using probabilistic approach, and differential equations are developed on the basis of Markov birth-death process.
These equations are then solved using normalizing conditions so as to determine the steady-state availability of the
crystallization unit. The performance of each subsystem of crystallization unit in a sugar plant has also been
optimized using genetic algorithm. Thus, the findings of the present paper will be highly useful to the plant
management for the timely execution of proper maintenance decisions and, hence, to enhance the system
performance.

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