Performance analysis and optimization for CSDGB filling system of a beverage plant using particle swarm optimization

Abstract

The paper deals with the performance analysis and optimization for Carbonated Soft Drink Glass Bottle (CSDGB) filling system of a beverage plant using Particle Swarm Optimization (PSO) approach. The CSDGB system consists of seven main subsystems arranged in series namely Uncaser, Bottle Washer, Electronic Inspection Station, Filling Machine, Crowner, Coding Machine and Case Packer. Considering exponential distribution for probable failures and repairs, mathematical modeling is performed using Markov Approach (MA). The differential equations have been derived on the basis of probabilistic approach using transition diagram. These equations are solved using normalizing condition and recursive method to drive out the steady state availability expression of the system i.e. system's performance criterion. The performance optimization of system has been carried out by varying the number of particles and number of generations. It has been observed that the maximum availability of 90.27% is achieved at flock size of 55 and 90.84% at 300 th generation. Thus, findings of the paper will be useful to the plant management for execution of proper maintenance decisions.

Mathematical modeling and performance evaluation of A-pan crystallization system in a sugar industry

“…S e t -1 : 1 = 0.02 , 2 = 0.05, 3 = 0.03 , 4 = 0.023, 1 = 0.61 , 2 = 0.8, 3 = 0.72 , 4 = 0.45 the numerical values of fuzzy availability and profit function have been obtained by considering different values of coverage (30) dP 30 (t) dt + 1 P 30 (t) = 2 1 (1 − )P 9 (t)…”

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Markov Modeling and Behavior Analysis of Steam Generation (SG) System in a Thermal Power Plant (TPP)

“…Malik & Tewari, (2020) developed a mathematical model to improve performance of a coal crushing unit of thermal power plant using PSO. Kumar et al (2020) performed SSA analysis of waste gases recovery system by applying MM. It was found that availability value is very low, and reason of this is failure of boiler tube.…”

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

“…Haitang et al [2] analysed the reliability of CAM on Gear Plate of D Type Knotter. Kumar and Tewari [3] conducted the optimization of a filling system at a beverage plant through the Particle Swarm Optimization technique. Kumar et al [4] studied the impact of hot-cold redundancy of the pumps on the availability level of a thermal plant using the Markov technique.…”