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Mateo Márquez Gutiérrez Guillermo Leon Carmona González Carlos Alberto Castro Zuluaga

Abstract

Introduction: Micro, Small and Medium Enterprises (MSMEs) have serious problems when it comes to comprehensively assess their logistics processes, thus affecting the correct decision making, generating a negative effect on the overall performance of the company.


Objective: This paper has as main objective to propose a methodology to fully evaluate the maturity of the logistic processes in MSMEs, which supports a successful decision making.


Methodology: The concepts of maturity models and fuzzy set theory are the basis for developing the comprehensive evaluation methodology for small organizations.


Results: The main results include a Fuzzy Inference System (FIS) for the comprehensive evaluation of MSME’s logistic processes, based on the criteria of expert decision makers of large organizations. Likewise, a matrix is ​​proposed to classify the logistic performance of the company according to the result obtained by the FIS. These results are tested in a select group of manufacturing MSMEs.


Conclusions: The developments are the product of research and experiences of the authors in the topics of this paper. The developed methodology showed positive results in its implementation with a group of MSMEs. Finally, the developed methodology allowed to bring the experience of experts to the environment of MSMEs.

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How to Cite
Márquez Gutiérrez, M., Carmona González, G. L., & Castro Zuluaga, C. A. (2022). Evaluation proposal of the logistic maturity of Micro, Small and Medium Enterprises based on fuzzy logic. Inge Cuc, 18(1), 180–194. https://doi.org/10.17981/ingecuc.18.1.2022.14
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In Press

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