O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias

Abstract

The importance of decision-making is All human beings who wish to solve or make improvements in a particular environment or situation. With this bias, the intuitive illustration for lean production processes, the Is not di erent but complex. Out of a range of global market information, Managers keep themselves in often di cult situations to solve them. When you wish Apply the Lean Manufacturing methodology in manufacturing processes, some decisions need to be considered More important than others by the team due to the exibility of uncertainties about possible scenarios that May occur in production. Therefore, the main scope of this work contributes to Uncertainties in the manufacturing dimensional module, for conjunction of the methodology Lean Manufacturing. In this sense, the objective has centered the attentions to structure hierarchically An intelligent approach that facilitates lean lean application processes in the manufacturing sector. Like this, The proposal was analyzed using the mathematical tools Fuzzy - Analytic Hierarchy Process (FAHP) and Such as simulation analysis in Fuzzy Sets scenarios. For the development of the research, A multicriterial FAHP analysis and computational system for Fuzzy Sets. As data entry was used of the individual parity matrices of three managers And nine production supervisors using the focal group technique. The responses were collected through the Application in which the role of moderator was carried out by the researcher himself, with six constructs and 33 subconstructs In three companies from di erent branches, but from the manufacturing sector with production on demand. These companies are located in Nova Esperança do Sul-RS; Santa Maria-RS; Nova Hartz-RS. In this way, as a research methodology, the approach used was that of Qualitative and quantitative format. As actual answers on the operations of the industries in the current scope, the analysis FAHP presented a proposal with a reliability of 50 % for lean applications according to the respondents. When designing simulations Of scenarios in production, the reliability estimate was 70.29 %. Thus, the proposed hierarchy to be developed In industries for lean system implementations may occur through the simulated approach of fuzzy sets. It is understood that The success of lean implementation will depend on variables such as time, infrastructure and culture of each industry.