Assessment of Ergonomic Compatibility on the Selection of Advanced Manufacturing Technology

  • Aide Maldonado-Macías
  • Arturo Realyvásquez
  • Jorge Luis García-Alcaraz
  • Giner Alor-Hernández
  • Jorge Limón-Romero
  • Liliana Avelar-Sosa
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 120)

Abstract

This paper proposes the development of an expert system for ergonomic compatibility assessment on the selection of Advanced Manufacturing Technology (AMT). Actual models for AMT assessment neglect Human Factors and Ergonomic (HFE) attributes and present deficiencies such as high time consumption and complexity. This approach proposes a novel axiomatic design methodology under fuzzy environment including two stages: the generation of fuzzy If-Then rules using Mamdani’s fuzzy inference system and the development of the system by mean of experts’ opinions. A numerical example is presented for the selection of three CNC milling machines using the Weighted Ergonomic Incompatibility Content (WEIC). The expert system leads to the selection of the best alternative containing the minimum WEIC, as the one that better satisfies ergonomic requirements. Development and application of the system may help provide an easier, faster, single or group ergonomic assessment on AMT selection by promoting safer and more ergonomic workplaces in manufacturing companies.

Keywords

Advanced manufacturing technology assessment Ergonomic incompatibility content Expert system 

Notes

Acknowledgements

Authors wish to acknowledge all the reviewers who helped improve this paper through their valuable suggestions and comments. Similarly, we are sincerely thankful to the experts in Advanced Manufacturing Technology and Human Factors and Ergonomics from CENALTEC—National Center of High Technology of Ciudad Juarez, the Autonomous University of Ciudad Juarez, FESTO-Juarez automation, and the Technological Institute of Ciudad Juarez for their priceless contribution of knowledge in this project.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Aide Maldonado-Macías
    • 1
  • Arturo Realyvásquez
    • 1
  • Jorge Luis García-Alcaraz
    • 1
  • Giner Alor-Hernández
    • 2
  • Jorge Limón-Romero
    • 3
  • Liliana Avelar-Sosa
    • 1
  1. 1.Departamento de Ingeniería Industrial y de ManufacturaUniversidad Autónoma de Ciudad JuárezCiudad JuarezMexico
  2. 2.Division of Research and Postgraduate StudiesInstituto Tecnológico de OrizabaOrizabaMexico
  3. 3.Universidad Autónoma de Baja CaliforniaEnsenadaMexico

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