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Optimal variable screening in automobile motor-head machining process using metaheuristic approaches in the Mahalanobis-Taguchi System

  • Yadira I. Reyes-Carlos
  • Cecilia G. Mota-Gutiérrez
  • Edgar O. Reséndiz-Flores
ORIGINAL ARTICLE
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Abstract

The Mahalanobis-Taguchi System is a data analytical method for the diagnosis and/or pattern recognition with multivariate data and it is useful for quantitative decision making where the Mahalanobis distance plays a key role. Over time, MTS has received wide acceptance in the scientific community as well as in practical industry and it has been applied to different problems where variable screening of the original set of attributes is essential. In this paper, MTS is applied to an automobile motor-head machining process and the corresponding mathematical model for dimensional reduction is solved using metaherustic algorithms from swarm intelligence optimization.

Keywords

Motor-head Binary particle swarm optimization Mahalanobis-Taguchi System Multivariate process Dimensional reduction 

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2017

Authors and Affiliations

  • Yadira I. Reyes-Carlos
    • 1
  • Cecilia G. Mota-Gutiérrez
    • 1
  • Edgar O. Reséndiz-Flores
    • 1
  1. 1.Division of Postgraduate Studies and Research, Department of Industrial EngineeringThe Technological Institute of SaltilloSaltilloMéxico

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