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Advisor(s)
Abstract(s)
This paper is concerned with the development of a holistic fuzzy logic model to evaluate the lean thinking environment in an organization. The development of such a model was based on a qualitative assessment approach, including quantitative basis, whose development has been based on fuzzy logic reasoning. Recourse to the use of fuzzy logic is justified by its ability to cope with uncertainty and imprecision on the input data, as well as, could be applied to the analysis of qualitative variables of a system, turning them into quantitative values. The proposed approach was structured with the aim of to achieve a model able to cope with the specificities ofany kind of organization regardless of their nature, size, strategy and market positioning. Furthermore, the proposed methodology allows the systematically identification of constraint factors existing in an organization and, thus, provide the necessary information to the manager to develop a holistic plan for continuous improvement. To evaluate the robustness of the proposed approach, the methodology was applied to a maintenance and manufacturing aeronautical organization.
Description
Keywords
Data-driven models Quantitative models Qualitative models Fuzzy logic Lean thinking
Citation
ABREU, A.; CALADO, J. M. F. – A fuzzy logic model to evaluate the lean level of an organization. International Journal of Artificial Intelligence and Applications (IJAIA). ISSN 0976-2191. Vol. 8, N.º 5 (2017), pp. 59-76.
Publisher
International Journal of Artificial Intelligence and Applications (IJAIA)