Productivity-Based Decision Making in Manufacturing SMEs: A Fuzzy Logic Approach
Journal Title: Revista CEA - Year 2020, Vol 6, Issue 12
Abstract
One of the challenges that small- and medium-sized enterprises (SMEs) face is knowing when to make the necessary organizational changes and the appropriate decisions that will not affect their level of productivity. Identifying the factors involved in decision making in SMEs is related with the need to be aware of their business environment and labor productivity variables in terms of effectiveness of Best Operational Productivity Practices (abbreviated BPPO in Spanish), support systems, and knowledge transfer applied to production management. For this purpose, the context must be analyzed from a comprehensive perspective. Therefore, the aim of this study is to examine productivity-based decision making in manufacturing SMEs using the fuzzy logic approach. As a sample, we analyze six SMEs in the city of Medellín, Colombia, by means of the Total Factor Productivity (TFP) model. Regarding the methodology of this study, we rigorously applied the different steps of the fuzzy method to the SMEs under study following a descriptive approach. This allowed us to select the conditions that were closer to the fuzzy principles, thus confirming the effectiveness of fuzzy logic in business decision making. In addition, our findings contribute to lines of research by providing a methodological framework focused on productivity (BOPP) which can support business decision making.
Authors and Affiliations
Julio Albeiro Londoño-Patiño
Keywords
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- EP ID EP697660
- DOI doi.org/10.22430/24223182.1507
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