Aplicação de modelagem computacional na melhoria e aperfeiçoamento de processo produtivo: case prático na indústria têxtil

Abstract

The Dissertation proposal seeks to eliminate flaws in planning, scheduling and production control, as well as strengthening and highlighting the use and combination of computer systems together with chronoanalysis to mitigate cost reduction, process optimization and maximization of profitable results, in addition to application of statistical process control (CEP). Therefore, the synergy of technological methods and tools in order to model an efficient and effective mapping and flow, will contribute to the fluidity of industrial processes and the communication of sectors and jobs in order to identify and standardize KPIs (Key Performance Indicators) that provide a consistent parameter to increase the company's performance. Because through information and data analysis, they will be analyzed and treated according to statistical techniques with the aim of reducing operational flow distance and saving time, in search of rationalizing losses with the application of 2D and 3D modeling. Therefore, with the results obtained through research into primary and secondary sources, technical standards, websites and specialized magazines, books, technical and scientific articles, it was possible to identify data and information from manufacturing processes and assign technological tools to facilitate visual analysis. of values and with the combination of computational tools, the performance of the manufacturing scenario can be improved and simulated in the ProModel software to ensure the evolution of information and through dynamic simulation to model the time variation or behavior of a production system, even before making a decision to put into practice factory change actions, a vector of growth and reduction of industrial and business costs. This study will be a watershed in terms of cultural change in companies in adopting software that makes it possible to carry out and express modifications and improvements in manufacturing and assembly process plants to anticipate possible variables and failures that may occur on site, taking as based on strategic, economic, legal and technical feasibility. To this end, a product will be presented in support of the PPGESP master's degree and can be offered to the market, which refers to the Operational Procedure tool (POP) and the integration of computational systems and methodological techniques.