Application of AHP Method to Aid Destination Choice of Pre-Production Models in a Textile Industry 112 56

Authors

  • Karine Ramos UNESC - Universidade do Extremo Sul Catarinense Author
    • Vilson Menegon Bristot UNESC - Universidade do Extremo Sul Catarinense Author
      • David Batista Gesuíno UNESC - Universidade do Extremo Sul Catarinense Author
        • Márcio Carlos Just Author
          • Bruno Brogni Uggioni Instituto Federal do Rio Grande do Sul Author
            • Vilmar Menegon Bristot Instituto Federal de Santa Catarina Author
              • Richard Oliveira Cardoso UNESC - Universidade do Extremo Sul Catarinense Author
                • Edimar Kalfeld UNESC - Universidade do Extremo Sul Catarinense Author
                  • Leopoldo Pedro Guimarães Filho UNESC - Universidade do Extremo Sul Catarinense Author

                    DOI:

                    https://doi.org/10.31686/ijier.vol7.iss10.1753

                    Keywords:

                    Decision-Making, Analytic Hierarchy Process, Pre-Production Models, Textile Industry

                    Abstract

                    The study analyzed, through the Analytic Hierarchy Process (AHP) technique, the decision-making tool, the best resolution for the final disposal problem of pre-pruduction models of a garment company. Obtaining data was based on the identification of the problem, general understanding of how to improve and finally the application of the AHP method, it was concluded that the best decision was archiving the pieces, guaranteeing fidelity in the reproduction of the product and the aid for the development of new parts.

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                    Published

                    2019-10-01

                    How to Cite

                    Ramos, K., Menegon Bristot, V., Batista Gesuíno, D., Carlos Just, M., Brogni Uggioni, B., Menegon Bristot, V., Oliveira Cardoso , R., Kalfeld , E., & Pedro Guimarães Filho, L. (2019). Application of AHP Method to Aid Destination Choice of Pre-Production Models in a Textile Industry. International Journal for Innovation Education and Research, 7(10), 106-112. https://doi.org/10.31686/ijier.vol7.iss10.1753