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Multiobjective optimization of torch brazing process by a hybrid of fuzzy logic and multiobjective artificial bee colony algorithm

Author

Listed:
  • Alejandro Alvarado-Iniesta

    (Autonomous University of Ciudad Juarez)

  • Jorge L. García-Alcaraz

    (Autonomous University of Ciudad Juarez)

  • Manuel Piña-Monarrez

    (Autonomous University of Ciudad Juarez)

  • Luis Pérez-Domínguez

    (Autonomous University of Ciudad Juarez)

Abstract

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.

Suggested Citation

  • Alejandro Alvarado-Iniesta & Jorge L. García-Alcaraz & Manuel Piña-Monarrez & Luis Pérez-Domínguez, 2016. "Multiobjective optimization of torch brazing process by a hybrid of fuzzy logic and multiobjective artificial bee colony algorithm," Journal of Intelligent Manufacturing, Springer, vol. 27(3), pages 631-638, June.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:3:d:10.1007_s10845-014-0899-2
    DOI: 10.1007/s10845-014-0899-2
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    Cited by:

    1. Ivona Brajević & Jelena Ignjatović, 2019. "An upgraded firefly algorithm with feasibility-based rules for constrained engineering optimization problems," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2545-2574, August.
    2. Xinnian Wang & Keyi Xing & Chao-Bo Yan & Mengchu Zhou, 2019. "A Novel MOEA/D for Multiobjective Scheduling of Flexible Manufacturing Systems," Complexity, Hindawi, vol. 2019, pages 1-14, June.

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