Resumo: Os avanços no desenvolvimento e na utilização de tecnologias da indústria 4.0 vêm proporcionando sua aplicação em diversos setores. As tecnologias da indústria 4.0 proporcionam o desenvolvimento das operações e alavancam a eficiência das organizações. O processo de implantação das tecnologias da indústria 4.0 é muito importante, pois demanda altos investimentos, mão de obra qualificada e tecnologias de ponta. O objetivo deste trabalho é identificar os principais critérios que norteiam o processo de tomada de decisão para escolha e implantação das tecnologias dentro dos conceitos da indústria 4.0. O método de pesquisa selecionado para sustentar o estudo foi a revisão sistemática da literatura. Os resultados apontam para predominância de utilização de requisitos amplos, com a utilização de grandes grupos de critérios que se propõem a atender diversos requisitos de maneira agregada. Devido aos poucos estudos recentes encontrados, a revisão tornou-se relevante, uma vez que, o presente artigo traz contribuições apontando o que já foi publicado sobre o tema tomada de tomada de decisão na escolha e implantação de tecnologias da indústria 4.0 nas organizações e quais os critérios e ferramentas utilizados para ancorar essa decisão. Até onde a pesquisa avançou não foram encontrados trabalhos que tenham realizado um estudo semelhante, com o objetivo de agrupar todas as informações sobre tomada de decisão na escolha e implantação das tecnologias da indústria 4.0.

Abstract Advances in the development and use of Industry 4.0 technology has resulted in it being applied in various industries. Industry 4.0 enables companies to develop their operations and improve their organizational efficiency. The process of implementing Industry 4.0 is very important, as it requires significant investment, skilled labor and state-of-the-art technology. The aim of this article is to identify the main criteria behind decision-making in choosing and implementing technology, that is part of the Industry 4.0 concept. The research method chosen for the study was a systematic literature review. The results show that the use of broad requirements tends to be predominant, using large groups of criteria that are intended to aggregate several different requirements. This review is relevant because few recent studies have been found, and therefore this article helps to identify what has been published so far on the subject of decision-making around choosing and implementing Industry 4.0 technology in organizations and what criteria and tools they base their decisions on. To date, the research has not encountered any similar work that aims to group all the information on decision-making around choosing and implementing Industry 4.0 technology.

Abstract Paper aims Structure virtual and augmented reality applications in engineering teaching-learning processes, with emphasis on production engineering, highlighting application gaps. Originality First studies that, to which subjects applied virtual and augmented reality in engineering teaching-learning processes, the gaps of application in production engineering, and a discussion about the impacts. Research method The research method applied was the systematic literature review. Main findings Structuring of virtual or augmented reality applications in engineering, discussion about the application in production engineering, opportunities for future research, how low application affects graduated professional education, consequently, organizational competitiveness. Implications for theory and practice The applications of virtual and augmented reality bring developing student skills more actively and cognitively, making training more complete, increasing their skills, and supporting the competitiveness of organizations through professionals who can contribute more broadly and effectively.

Abstract Perforated steel thin plates are commonly used in structural engineering. Due to their geometric characteristics, these panels can suffer the undesired buckling phenomenon. In this context, the present work associates the computational modeling and the constructal design method to evaluate the influence of the geometric configuration in the plate buckling behavior, using the exhaustive search method to determine which geometries conduct to superior mechanical behavior. To do so, numerical models are employed to solve elastic and elasto-plastic buckling of plates having a centered perforation. Different hole types (longitudinal oblong, transversal oblong, elliptical, rectangular, diamond, longitudinal hexagonal, or transversal hexagonal) with different shapes (variation of characteristics dimensions of each hole type) are analyzed. Limit curves to avoid buckling were obtained, as well as the definition of the geometries that can improve up to 107% the plate performance.

Resin Transfer Molding (RTM) is largely used for the manufacturing of high-quality composite components and the key stage during processing is the resin infiltration. The complete understanding of this phenomenon is of utmost importance for efficient mold construction and the fast production of high quality components. This paper investigates the resin flow phenomenon within the mold. A computational application was developed to track the resin flow-front position, which uses a finite volume method to determine the pressure field and a FAN (Flow Analysis Network) technique to track the flow front. The mass conservation problem observed with traditional FE-CV (Finite Element-Control Volume) methods is also investigated and the use of a finite volume method to minimize this inconsistency is proposed. Three proposed case studies are used to validate the methodology by direct comparison with analytical and a commercial software solutions. The results show that the proposed methodology is highly efficient to determine the resin flow front, showing an improvement regarding mass conservation across volumes.

Resin Transfer Molding (RTM) is a polymer composite processing technique widely used in the aeronautics and automotive sectors. This paper describes the numerical simulation of the RTM process where Darcy's law was used for the mathematical formulation of the problem. A control volume finite element method was used for the determination of pressure gradients inside the mold, and a geometric reconstruction algorithm is used for the resin flow-front determination. Permeability of the medium was considered either a constant or a two dimensional tensor. The application was validated by direct comparison with literature data and good qualitative and quantitative agreement was obtained. The finite volume method was built to be used with a two-dimensional unstructured grid, hence allowing the analysis of complex geometries. The results showed that the proposed methodology is fully capable of predicting resin flow advancement in a multi-layer (with distinct physical properties) reinforced media.