Evaluation proposal of the logistic maturity of Micro, Small and Medium Enterprises based on fuzzy logic
DOI:
https://doi.org/10.17981/ingecuc.18.1.2022.14Keywords:
Maturity Models, Logistic Processes, Fuzzy Inference System, Fuzzy Logic, MSMEsAbstract
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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