Assessment of Ergonomic Compatibility on the Selection of Advanced Manufacturing Technology View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Aide Maldonado-Macías , Arturo Realyvásquez , Jorge Luis García-Alcaraz , Giner Alor-Hernández , Jorge Limón-Romero , Liliana Avelar-Sosa

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. More... »

PAGES

223-239

References to SciGraph publications

  • 2014-02. Intuitionistic fuzzy TOPSIS for ergonomic compatibility evaluation of advanced manufacturing technology in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 1998-12. Axiomatic Design Theory for Systems in RESEARCH IN ENGINEERING DESIGN
  • 1998-01. Automated process parameter resetting for injection moulding: a fuzzy-neuro approach in JOURNAL OF INTELLIGENT MANUFACTURING
  • 2013-04. A hierarchical fuzzy axiomatic design methodology for ergonomic compatibility evaluation of advanced manufacturing technology in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2007. Introduction to Fuzzy Logic using MATLAB in NONE
  • Book

    TITLE

    Current Trends on Knowledge-Based Systems

    ISBN

    978-3-319-51904-3
    978-3-319-51905-0

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-51905-0_11

    DOI

    http://dx.doi.org/10.1007/978-3-319-51905-0_11

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084728590


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