Engenharia de Produção
URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/19
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3 resultados
Resultados da Pesquisa
- Hybrid Method CONWIP/KANBAN: A case study Método híbrido CONWIP/KANBAN: Um estudo de caso(2011-01-05) SERENO, B.; DA SILVA, D. S. A.; DA SILVA, D. S. A.; Mauro SampaioKANBAN. CONWIP. CONWIP/KANBAN Hybrid Method.Production control systems have been widely discussed in the Production Engineering literature. The KANBAN system is the most known among professionals for the control and processing of materials in the shop floor environment due to its simplicity and competitive significance in the design of the Toyota production system. Analyzing possible disadvantages presented by this system, the CONWIP demonstrates that the KANBAN can be questioned in certain circumstances and upon certain variables of the product, demand, or production. The objective of this research is to Investigate, compare, and point out the advantages and disadvantages of KANBAN, CONWIP, and the CONWIP/KANBAN Hybrid Method. Based on the case study in a company that manufactures electromechanical components for valve monitoring and control, characterized by small lots, high customization, and uncertain demand, these methods were discussed in order to show, through the results, the differential combination of KANBAN and CONWIP in the CONWIP/KANBAN Hybrid method..
- Academic research published in the management & production journal (G&P, 1999-2010): Trends and future research directions A produção acadêmica publicada na revista Gestão & Produção de 1999 a 2010: Tendências e direções para pesquisas futuras(2012-01-05) BORTOLLOSSI, L. N.; Mauro SampaioThis study is a review and evaluation of studies published in a Brazilian journal of management & production (G&P) from 1999 to 2010 in order to investigate the diversity of articles in terms of the purposes of research, data collection approaches, and data analysis techniques. The research articles were classified based on their primary purpose (theory building, application, and concepts), data collection approach (case study, qualitative research, archival research, survey-based research, laboratory research, and field research), data analysis technique (descriptive statistics, various multivariate statistical techniques, and mathematical modeling), and operations topics (strategy, quality, and supply chain management). The numbers of articles published increased substantially between 1999 to 2010. The focus of the articles on the manufacturing industry published in this journal changed considerably, and more recently the gap between the number of manufacturing and service-focused articles on production and operations management (POM) has reduced. While previous articles published in the G&P journal were based on conceptual descriptions, our results indicate that the journal has published articles based on theory and application. Case study is the most widely used method for data collection. Directions for future research in operations management were also discussed.
- An exploratory study on emerging technologies applied to logistics 4.0 Um estudo exploratório sobre tecnologias emergentes aplicadas à logística 4.0(2020-09-05) CORREA, J. S.; Mauro Sampaio; BARROS, R. DE. C.© 2020 Brazilian Institute for Information in Science and Technology. All rights reserved.The concept of Logistics 4.0 works closely to that of Industry 4.0. While Industry 4.0 proposes a disruptive change in manufacturing, Logistics 4.0 advocates a transformation in the way organizations buy, manufacture, sell, and deliver products. The objective of this paper is to identify, in Brazilian companies, the degree of interest in the investment in six emerging technologies applicable to logistics, according to scientific literature, as well as to identify the current perception of data quality of these companies. To achieve these objectives, an online survey was conducted. The research showed that the technologies that most interest Brazilian companies are Internet of Things (IoT) and cloud computing, both with 82% of investment intention. The two technologies that least interested companies are crowdsourcing and 3D printing, both with 68% investment disinterest among respondents.