• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
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HOME > Archive > 2022 > Volume 10 Number 5 (Oct. 2022) >
JOEBM 2022 Vol.10(5): 331-334 ISSN: 2301-3567
DOI: 10.18178/joebm.2022.10.5.721

Uncertainty Modeling of Sourcing Performance in Supply Chain Quality Management

Juan M. Cogollo-Flórez

Abstract—Sourcing performance measurement in Supply Chain Quality Management is carried out under uncertain and changing conditions. This paper proposes a methodology for uncertainty modeling of Sourcing Performance using Fuzzy Grey Cognitive Maps and Design of Experiments. This methodology has four steps: (i) Selection of model variables, (ii) Determination of causal relationships, (iii) Construction of the model, and (iv) Dynamic performance of the model with Design of Experiments. The application of the fractional factorial design validated the adequate dynamic functioning of the model and allowed identifying the factors that have a significant effect on the response variable.

Index Terms—Design of experiments, fuzzy grey cognitive maps, sourcing performance, supply chain quality management.

Juan M. Cogollo-Flórez is with Instituto Tecnológico Metropolitano - ITM, Medellín, Colombia (e-mail: juancogollo@itm.edu.co).

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Cite:Juan M. Cogollo-Flórez, "Uncertainty Modeling of Sourcing Performance in Supply Chain Quality Management," Journal of Economics, Business and Management vol. 10, no. 5, pp. 331-334, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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