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Multiobjective optimization of torch brazing process by a hybrid of fuzzy logic and multiobjective artificial bee colony algorithm
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نویسنده
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Alvarado-Iniesta Alejandro ,García-Alcaraz Jorge L. ,Piña-Monarrez Manuel ,Pérez-Domínguez Luis
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منبع
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journal of intelligent manufacturing - 2016 - دوره : 27 - شماره : 3 - صفحه:631 -638
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چکیده
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This paper describes an application of a hybrid of fuzzy logic (fl) and multiobjective artificial bee colony algorithm (moabc) for optimizing the torch brazing process of aluminum in the fabrication of condensers in the automotive manufacturing industry of juarez, mexico. this work aims to show how artificial intelligence is being applied in the manufacturing sector of mexico for optimizing processes leading to cost reduction. the approach consists of using fl as surrogate model of the brazing process; after, moabc is applied to find the nondominated solutions for leak rate which is a quality test of the condenser and production time. results show the use of artificial intelligence is an excellent tool for optimizing manufacturing processes leading to improve productivity, mainly in the selected region, where this type of methodologies are fairly new in applicability.
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کلیدواژه
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Process optimization ,Fuzzy logic ,Multiobjective ,Artificial bee colony algorithm ,Torch brazing ,Mexican industry
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آدرس
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Autonomous University of Ciudad Juarez, Department of Industrial and Manufacturing Engineering, Mexico, Autonomous University of Ciudad Juarez, Department of Industrial and Manufacturing Engineering, Mexico, Autonomous University of Ciudad Juarez, Department of Industrial and Manufacturing Engineering, Mexico, Autonomous University of Ciudad Juarez, Department of Industrial and Manufacturing Engineering, Mexico
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Authors
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