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Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency

Khalaji Assadi, Morteza (2016) Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency. International Journal of Swarm Intelligence and Evolutionary Computation .

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Abstract

The goal of this paper is to optimize the productivity of manufacturing system by integrating computer simulation, design of experiments (DOE) and particle swarm optimization (PSO) algorithm. Optimizing productivity of colour factory was considered as the case of this study. To evaluate and estimate the effect of main factors, 2n factorial design with higher and upper levels and centre points was considered. After obtaining the significant factors, the local optimum setting of the significant factors was determined using the steepest ascent method and response surface methodology (RSM) approach. Finally, the global optimum productivity was achieved by computer programing of PSO method. Base on the final result, maximum productivity occurs in the point of 87.23 that is relevant to number of labour (B) = 26 and failure time of lifter (C) = 78.04 min. In addition, other two factors A (Service rate of Delpak mixer)and D (Number of permil) should be located at low level to obtain maximum productivity.

Item Type:Article
Uncontrolled Keywords:Design of experiments; Computer simulation; Response surface methodology; Particle swarm optimization
Academic Subject One:mechanical engineering manufacturing
Departments / MOR / COE:Mission Oriented Research > Energy
ID Code:12019
Deposited By: Dr Morteza Khalaji Assadi
Deposited On:14 Oct 2016 07:34
Last Modified:14 Oct 2016 08:22

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