Publications on the fourth industrial revolution have skyrocketed since its establishment in 2011, both in academic and non-academic channels. Even though their measurable results have been published in non-academic material, especially among industry and business reports, within the academia it is still unclear how they are shown. This study aims to review and analyse the presence of industrial results within the academic context in a systematic manner by using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology. The findings indicate an increase trend of this type of publication within the academia and further directions are suggested.
Goal: This work aims to compare performance indicators of the pulled, pushed and hybrid production schedule, with those of a specific production environment of the printing industry, using computational simulation. Design / Methodology / Approach: Through a case study, it was possible to create a conceptual model, from which a computational model that was verified and validated as representative of the real productive system was developed. There are generated fictional models of the production environments to compare cycle time, work in process and attendance to the demand, varying the quantity of orders confirmed by the final clients. Results: The CONWIP (Constant Work in Process) system presented very high cycle times and failure to meeting the demand, although it was kept in the format of the work in process. The actual real system and the pushed system obtained the worst performances regarding the work in process, besides presenting failures to meeting the demand and very high cycle times. The pulled system obtained the best performance to meet the demand, and cycle times adequate to the production requirement and moderate work in process. Limitations of the investigation: The application of the methodology was limited to the study of a single productive system of a print industry and cannot be extended to the entire sector. Practical implications: This work presents a practical application of computer simulation tools applied to Production Planning and Controls which may be replicated by other organizations or educational institutions for system performance analysis in different scenarios. Originality / Value: The original contribution of this work is the application of computational simulation for a production system in a print industry without interference in a real system.
Based on the promise to revolutionize the entire supply chain, additive manufacturing is seen as an alternative to conventional manufacturing processes, since it simplifies the production of small batches, shortens the distances between production and consumption and generates new distribution models. Due to its huge potential to spread more sustainable environmental practices, investigations on the environmental assumptions, concerning the application of additive manufacturing technologies, are required. Therefore, based on a systematic literature review, this study aimed to analyze the studies that addressed the environmental performance of logistics operations in a comparison among conventional and additive manufacturing, using the Life Cycle Assessment technic (LCA). Although there are few available studies that quantitatively analyze and compare the environmental performance of the additive manufacturing process with traditional process from a transport perspective, it has been concluded that reducing the distances and the quantity of transported products, carbon dioxide emissions and the consumption of energy resources are reduced.
Resumo: A gestão de projetos nas grandes empresas é uma atividade de elevada importância, pois torna possível a implementação de decisões que normalmente abrangem diversas áreas e demandam significativo volume de recursos. Este trabalho objetiva apresentar a aplicação da metodologia de gestão de projetos DMAIC, proposta pelo Método Seis Sigma para solução de problemas em uma empresa industrial de grande porte. Após a revisão bibliográfica é apresentado um Estudo de Caso na indústria automotiva, no qual é descrita a aplicação da metodologia e verificados seus resultados preliminares. Conclui-se que a utilização da metodologia DMAIC foi importante para a adoção de uma abordagem científica estruturada na condução do projeto, ficando confirmada a sua robustez e possibilitando ao projeto alcançar seus objetivos de uma forma organizada, multidisciplinar e econômica.Palavras-chave: Gestão de projetos. DMAIC. Solução de problemas. Seis sigma. Indústria automotiva. Abstract:The management of projects in big companies is an activity of high level of importance. This is because they make possible the decisions implementation those normally affect several areas and demand significant level of resources. This work presents a DMAIC projects management methodology application , proposed by Six Sigma Method for problems solution in a large size industrial company. After the bibliographical review it is presented a Case Study in the automotive industry, in what it is described the methodology application and verified its preliminary results. The conclusion is that the use of the DMAIC methodology was important to the adoption of a scientific structured approach in the project. Its robustness was confirmed and it made possible for the project to achieve its goals in an organized, multi-disciplinary and economic way.
The study approached the application of the Value Stream Mapping and Earned Value analysis methods in a Pinch Bottom with Simple Fold (PBSF) paper bag production line in an industrial packaging enterprise of multiwall paper bags located in Brazil. From the joint application of the mentioned methods, a better diagnosis of the situation was obtained, and the opportunities of eliminating wastes, of operation enhancement, and of a better monitoring of the involved costs appeared, bringing potential production gains and quality to the enterprise. As a contribution of this work, it can be highlighted the presentation and discussion about the complementarity of a Lean Manufacturing tool with a Project Management Methodology.
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