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- Title
Propuesta de evaluación de la madurez logística de Micro, Pequeñas y Medianas Empresas basado en lógica difusa.
- Authors
Márquez Gutiérrez, Mateo; González, Guillermo Leon Carmona; Castro Zuluaga, Carlos Alberto
- Abstract
Introduction--The efficient management of business logistics is a determining factor in the globalization and modernization of companies, especially for those classified as micro, small and medium-sized enterprises (MSMEs). A first step in this regard to assess the current state of maturity of logistics processes. Currently there are various models that allow evaluating the maturity of the processes, however, they are not oriented to logistics processes, and their way of evaluating the dimensions of the model may be to present uncertainties or ambiguities. Objective--To propose a methodology to evaluate the maturity of logistics processes in MSMEs, through a fuzzy inference system that supports the decision-making process. Methodology--The research methodology is quantitativeexplanatory and the method is empirical-descriptive, where, based on personal interviews with experts from different areas of logistics, the basic rules of the Fuzzy Inference System (FIS) are defined that feed the proposed model to evaluate the level of maturity of micro and small companies in two dimensions of logistics management. Finally, a pilot test is carried out to evaluate the effectiveness and applicability of the model. Results--An empirical maturity model is proposed for the evaluation of the logistics processes of MSMEs. This model includes a Fuzzy Inference System (FIS) for evaluating the dimensions of the proposed model, based on the criteria of expert decision makers. The model has a matrix to classify the logistics performance of the company according to the result obtained by the FIS. To evaluate the performance of the model, a pilot test was carried out on a group of three manufacturing MSMEs. Conclusions--The maturity model supported by the fuzzy logic allowed to support the uncertainty and ambiguity given by the qualification of the maturity of the company's processes. The fuzzy inference system took the ambiguity, and with the help of the rules of the inference system raised, it offered an objective and agile evaluation of the dimensions proposed by the maturity model. Finally, the methodology developed allows to bring the experience of experts to the reach of MSMEs.
- Subjects
BUSINESS enterprises; FUZZY logic; SMALL business; FUZZY systems; BUSINESS logistics; INDUSTRIAL management
- Publication
Inge-Cuc, 2022, Vol 18, Issue 1, p180
- ISSN
0122-6517
- Publication type
Article
- DOI
10.17981/ingecuc.18.1.2022.14