Fuzzy Model for the Priorization Analysis of Variable Quality Performance: An Approach in Shipbuilding

4Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

The shipbuilding industry has evolved in recent years. Some quantitative and qualitative factors influence competitiveness of shipyards. The development of shipbuilding processes depends on evolution of manufacturing techniques, planning, organization and external environment. In general, regarding performance, quantitative variables are analyzed through mathematical and linear models. However, the qualitative variables, due to its subjectivity because it deals with human perceptions, it is not common for organizations to work on the performance of these factors. Then, this is the objective of the research, to analyze qualitative factors in shipbuilding in context with the Brazilian industry. The chosen that compose the proposed model are technology and industrial location. This research presents a prioritizing evaluation model of qualitative performance variables. So, presents as original the treatment by the fuzzy sets of qualitative critical factors expressed in linguistic terms by specialists working in the Brazilian sector, resulting in the prioritization of these factors. After result, the model was applied at specific shipyard. The results converge Brazil's real scenario and show that the proposed fuzzy model might be a good qualitative performance factor evaluation tool. Finally, to identify real the distance of a specific shipyard for to this research's model prioritization pattern by brazilian specialists.

Cite

CITATION STYLE

APA

Freitas Pinto, P. de J., dos Santos Grecco, C. H., & Nunes Cosenza, C. A. (2020). Fuzzy Model for the Priorization Analysis of Variable Quality Performance: An Approach in Shipbuilding. Fuzzy Information and Engineering, 12(2), 181–203. https://doi.org/10.1080/16168658.2020.1792610

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free