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Optimal identification of impact variables in a welding process for automobile seats mechanism by MTS-GBPSO approach

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Abstract

This work introduces the Mahalanobis-Taguchi System (MTS) to the research area of welding by the application of this methodology to the impact variable detection in a welding process for the automotive industry. The combinatorial optimization problem of variable selection is solved by the application of Gompertz Binary Particle Swarm Optimization algorithm.

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Authors and Affiliations

  1. Division of Postgraduate Studies and Research, Department of Metal-Mechanical Engineering, The Technological Institute of Saltillo, Blvd. V. Carranza 2400 Col. Tecnológico, C.P. 25280, Saltillo, Coahuila, México

    Edgar O. Reséndiz-Flores

  2. Division of Postgraduate Studies and Research, The Technological Institute of Saltillo, Blvd. V. Carranza 2400 Col. Tecnológico, C.P. 25280, Saltillo, Coahuila, México

    Mateo E. López-Quintero

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  1. Edgar O. Reséndiz-Flores
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  2. Mateo E. López-Quintero
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Correspondence to Edgar O. Reséndiz-Flores.

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Reséndiz-Flores, E.O., López-Quintero, M.E. Optimal identification of impact variables in a welding process for automobile seats mechanism by MTS-GBPSO approach. Int J Adv Manuf Technol 90, 437–443 (2017). https://doi.org/10.1007/s00170-016-9395-5

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  • DOI: https://doi.org/10.1007/s00170-016-9395-5

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