Additive manufacturing (AM) technology has attracted the interest of industrial professionals and researchers in the last years. This interest lies primarily in understanding the trends, benefits, and implications of AM technology on supply chain (SC) and logistics, as it requires reconfiguring the supply chain based on a distributed manufacturing strategy, closer to the consumer market, with shorter lead times and less raw materials. It still is an emerging field, and needs further study. Therefore, a better understanding of main trends will contribute to the dissemination of knowledge about AM technology and its consolidation. This article seeks to investigate the implications of AM, as an advanced manufacturing model, on SC and logistics. A four-step research method was used to develop a systematic literature review and a bibliometric analysis on the AM implications in SC and logistics. The main implications of AM on SC and logistics were classified in seven key issues gathered as result of the literature review. Additionally, bibliometric study allowed understanding researches major trends in this field. The key aspects highlighted and characterized as major implications of AM on SC and logistic are: supply chain complexity reduction; more flexible logistics and inventory management; better spreading and popularization of mass customization; decentralization of manufacturing; greater design freedom and rapid prototyping; increasing of resource efficiency and sustainability, and the need to have clearly defined legal and safety aspects.

This paper aims to review the state-of-the-art in Cyber-Physical Systems (CPS) as a key element to Industry 4.0 and to provide engineering managers with adequate and sufficient knowledge about CPS, highlighting their characteristics, technologies, capabilities, and applications. A three-stage research method was applied to provide an extensive search and systematic literature review (SLR). We identified, selected, and reviewed 218 publications. The convergences in specific areas in which studies are still needed were detailed. We identified 5 characteristics, 7 capabilities, 17 related technologies, and 11 areas of application. Four application areas remain as an opportunity to be explored in future research, such as environmental sustainability; smart and precision agriculture; smart construction, and social sciences. This article is the first to present a wide-ranging review of CPS and bringing together a significant number of publications. Its originality is focused on detailing and analyzing CPS characteristics, technologies, and multidisciplinary applications allowing engineering professionals and managers to identify which technologies a manufacturing equipment should integrate, as well as the level of development of each of them to achieve its full operation in Industry 4.0 environment. The main limitation of this work is the fact that new features, applications, and technologies will certainly appear soon.

Lean Manufacturing (LM) é uma filosofia de gestão apoiada por um grupo de técnicas que, quando combinadas e amadurecidas, reduzem o tempo e o custo de produção, maximizam o valor ao cliente e minimiza desperdícios. Para isto a tomada de decisão desempenha um papel fundamental e se torna um ponto crítico para esta filosofia de gestão. A ferramenta Business Intelligence (BI) fornece uma abordagem baseada em dados para vincular as metas estratégicas das empresas às políticas gerenciais e ações operacionais, podendo ser de ajuda para as empresas enxutas. Assim, o presente estudo pretende analisar as principais aplicações das ferramentas de BI para dar suporte à tomada de decisão às empresas que aplicam LM. Com apoio do software de revisão sistemática StArt, foi feita uma análise da literatura atual relacionada ao tema de pesquisa. A análise permitiu definir oportunidades de aplicação de BI nas empresas que, de alguma forma, utilizam o LM.

The purpose of this paper is to identify and evaluate which managerial style prevails in the operational area of five IT companies and their relationship with the job satisfaction of their employees. For data collection, a questionnaire was applied to 120 participants, validating 110 responses. Questions regarding the three factors of EAEG were integrated in order to identify the focus in which the leadership predominantly operates in these companies, and the five dimensions of EST were used to measure the level of employees satisfaction regarding each dimension evaluated. Descriptive statistical processing allowed to observe that the managerial style focused on the Task prevails, with an overall average score of vt = 4.11. As dispersion measures, the sample standard deviation (St = 0.39) and sample amplitude (At = 0.91) corresponding to this factor (Task) were calculated, respectively, showing that the values are very close to the average score. It indicates that there is uniformity between the scores for each item of the factor Task. It was found that 65 % of participants confirm the role of the leadership focused on the Task. The Satisfaction with the nature of work dimension reached an average score of vd = 5.09, showing employee satisfaction. The dimension Satisfaction with colleagues reached an average score of vd = 4.34 indicating indifference on the level of satisfaction, whereas the dimensions Satisfaction with salary, promotions and leadership, reached averages of vd = 3.87, vd = 3.70 and vd = 3.46, respectively, indicating levels of dissatisfaction. Finally, were highlighted some criteria as motivators for avoid turnover in organizations that contribute to the job satisfaction of these employees.

A flexibilidade das tecnologias híbridas de fabricação (HMT) para integrar os processos produtivos e as atividades de manutenção contribui para o aumento do ciclo de vida de peças funcionais ou remanufaturadas, agregando-lhes valor, dado que, pelo elevado custo de fabricação, não se justifica seu descarte. O objetivo deste artigo é investigar quais são os benefícios do uso das HMT nas atividades de reparo e remanufatura de peças no contexto da manutenção. A revisão sistemática da literatura relacionada ao tema mostrou que o emprego das HMT para executar atividades de reparo e remanufatura de peças como parte dos sistemas de manutenção está em expansão. Além disso, foi identificado que as aplicações das HMT visam o aumento do ciclo de vida dos produtos, a eficiência de recursos e remanufatura de peças no fim da vida útil como parte da reconfiguração da cadeia de valor.