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

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 estima...

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Main Author: Khalaji Assadi, Morteza
Format: Article
Published: 2016
Online Access:http://eprints.utp.edu.my/12019/1/integration-of-computer-simulation-design-of-experiments-and-particleswarm-optimization-to-optimize-the-production-line-efficiency-2090-4908-1.pdf
http://eprints.utp.edu.my/12019/
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spelling my.utp.eprints.120192016-10-14T08:22:23Z Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency Khalaji Assadi, Morteza 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. 2016 Article PeerReviewed application/pdf http://eprints.utp.edu.my/12019/1/integration-of-computer-simulation-design-of-experiments-and-particleswarm-optimization-to-optimize-the-production-line-efficiency-2090-4908-1.pdf 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 . http://eprints.utp.edu.my/12019/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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.
format Article
author Khalaji Assadi, Morteza
spellingShingle Khalaji Assadi, Morteza
Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency
author_facet Khalaji Assadi, Morteza
author_sort Khalaji Assadi, Morteza
title Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency
title_short Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency
title_full Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency
title_fullStr Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency
title_full_unstemmed Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency
title_sort integration of computer simulation, design of experiments and particle swarm optimization to optimize the production line efficiency
publishDate 2016
url http://eprints.utp.edu.my/12019/1/integration-of-computer-simulation-design-of-experiments-and-particleswarm-optimization-to-optimize-the-production-line-efficiency-2090-4908-1.pdf
http://eprints.utp.edu.my/12019/
_version_ 1738656001485176832
score 13.211869

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