Aplicação da lógica fuzzy como ferramenta no auxílio da tomada de decisões para otimização de layout de linha de soldagem

Abstract

In the current market scenario, companies face a highly competitive and challenging market due to various economic and technological factors. Companies that do not modernize themselves are surpassed by new companies with more agile and efficient market methodologies. Therefore, if a company seeks to remain in the market, it must pursue the implementation of new market methodologies. We observe that Industry 4.0 applications are increasingly spreading in the industrial sector through various tools such as automation, IoT, among others. Companies using these tools can reduce costs and become more efficient. Thus, there is a growing demand for the implementation of these tools in the industrial sector. This work aims to apply methods such as Fuzzy logic to develop a Key Performance Indicator (KPI) analysis to assist in the decision-making process aimed at increasing the efficiency of a motorcycle welding production line in a company located in the Manaus Free Trade Zone. Through these mathematical methods, it is possible to losses of the process, helping managers gain a clearer understanding of highly imprecise issues and often dependent on the perspective of decision-makers. Using methods such as: mapping the production process, collecting data such as process time, layout area, productive counterflow, among other indicators, we will prepare an analysis using Fuzzy Logic to aid in the analysis of improving the layout at points such as space layout, parts inventory and line efficiency. The goal of this work is to identify bottleneck points and offer opportunities for deverticalization to propose improvements in production, reducing losses and improving the process flow.