A evolução dos novos sistemas de gestão nas organizações e sua introdução nos processos de produção está transformando a indústria tradicional, elevando-a para um novo patamar de desenvolvimento organizacional. A Quarta Revolução Industrial e o advento da Indústria 4.0 caracterizado por tecnologias de conectividade, digitalização e alta produtividade, embutem uma mudança de paradigma no qual a gestão da qualidade poderá sofrer mudanças irreversíveis e possivelmente precisará adequar-se para atender as novas expectativas e demandas do mercado cada vez mais integrado e competitivo, no qual gerenciar grandes volumes com alta complexidade se tornará uma atividade corriqueira. Preocupado com esta gestão, o presente estudo aborda um dos aspectos da adequação da gestão da qualidade à nova realidade, mediante uma pesquisa quali-quantitativa entre representante do meio acadêmico e profissionais de indústrias, sobre a utilização e a importância de ferramentas da qualidade na indústria 4.0. Foram avaliadas as ferramentas que seriam mais utilizadas na indústria 4.0 e se há diferenças de opiniões a respeito entre especialista da área da qualidade e público em geral (acadêmicos e profissionais da indústria). Conclui-se que ainda há muito o que se discutir e aprimorar sobre a aplicação das ferramentas da qualidade no vasto mundo 4.0 na busca pela maior eficiência e eficácia dos processos produtivos.
Coffee is the most widely consumed beverage in the world, Brazil being its largest producer and exporter. The present study aims to identify the Brazilian coffee trade regarding import markets, main routes, volumes, and main grower states. The proposed methodology adopts a social network analysis approach using the software UCINET 6.0 and Netdraw 2,166 ©. A graphical network is developed to analyze the coffee flow among countries. Besides, the degree of centrality is measured using a matrix that considers 1 or zero. Our results show that Minas Gerais, São Paulo and Espírito Santo have more influence on the network and degree of centrality, inducing the fact that they export to several countries. Germany, United States, Italy, and Japan represent the most important markets. Finally, we conclude that Germany is the leading Brazilian partner with 21% of country coffee export and the most important player of the supply chain.
Brazilian corn production has an expressive participation in world trade stage. Agribusiness has been growing and gaining an important position for economy in Brazil. The Brazilian corn harvest for 2017-2018 was 82 million tons, placing Brazil as the third largest global producer behind China and the United States. This study compares four south and southeast Brazilian corn exportation ports according to their operations, infrastructure and geographic position. A multicriteria decision tree was established and, with the analytical hierarchy process (AHP) tool, an informational database, and considering expert opinions about the gathered data, we were able to determine which ports are the better choices for corn exportation. Surprisingly, Rio Grande took a better place than Paranaguá's port. Its operations and infrastructure nodes have the same weight in terms of decision making. However, a ports geographical position has a very weak decision-make importance. Furthermore, Rio Grande is almost three times better than Paranaguá in Water Depth and this made Rio Grande beat Paranaguá from an infrastructure point of view. So, the operations node was the point to pay attention to, and this is the main reason for Rio Grande's position.
Competitiveness of Brazilian agribusiness depends on the capacity to sell products through the largest port in South America, Santos. The aim of this paper is to analyze the port efficiency indicators of Brazilian National Waterways Transportation Agency regarding the Port of Santos. To this end, we collected the indicator of port for handling, service time, and tariffs (fee) during of period of 2016-2018 and analyzed using time series. The results showed a tendency of slight growth for handling, moderate growth for the tariff, and a slight decrease in the service time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.