BATIK PRODUCTION PROCESS OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION METHOD

This paper presents batik production process optimization using particle swarm optimization (PSO) methods. The process steps of batik are designing, 'nyanting', staining, 'pelorodan', and washing. Batik production cost is determined by the efficiency and calculation of output to...

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Published inJournal of Theoretical and Applied Information Technology Vol. 86; no. 2; p. 272
Main Authors Soesanti, Indah, Syahputra, Ramadoni
Format Journal Article
LanguageEnglish
Published Islamabad Journal of Theoretical and Applied Information 01.04.2016
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ISSN1817-3195

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Abstract This paper presents batik production process optimization using particle swarm optimization (PSO) methods. The process steps of batik are designing, 'nyanting', staining, 'pelorodan', and washing. Batik production cost is determined by the efficiency and calculation of output to input ratio in the production process. In this research, PSO method is used for production process optimization on Yogyakarta batik industry. The main objective of this research optimization is to minimize the cost incurred in the production process of batik in order to obtain maximum benefit. PSO method has successfully optimized the production goals to be achieved by minimization the using of raw materials and production time. Optimization results show that in batik production process, there is a saving of raw materials 14.801% and production time saving of time 10.345%.
AbstractList This paper presents batik production process optimization using particle swarm optimization (PSO) methods. The process steps of batik are designing, 'nyanting', staining, 'pelorodan', and washing. Batik production cost is determined by the efficiency and calculation of output to input ratio in the production process. In this research, PSO method is used for production process optimization on Yogyakarta batik industry. The main objective of this research optimization is to minimize the cost incurred in the production process of batik in order to obtain maximum benefit. PSO method has successfully optimized the production goals to be achieved by minimization the using of raw materials and production time. Optimization results show that in batik production process, there is a saving of raw materials 14.801% and production time saving of time 10.345%.
Author Soesanti, Indah
Syahputra, Ramadoni
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Snippet This paper presents batik production process optimization using particle swarm optimization (PSO) methods. The process steps of batik are designing,...
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SubjectTerms Computational efficiency
Cost engineering
Industrial engineering
Information technology
Mathematical analysis
Optimization
Raw materials
Swarm intelligence
Title BATIK PRODUCTION PROCESS OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION METHOD
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