Resumo: As taxas de exportação e produção agrícola brasileira têm crescido de forma acentuada nos últimos anos, influenciadas, principalmente, pelo aumento do poder econômico chinês. Desde que o agronegócio tornou-se importante na matriz de exportações, o Brasil tem enfrentado problemas devido ao alto custo do transporte terrestre e à deficiência dos seus portos, em especial os de Santos, Paranaguá, Vitória e Rio Grande, que têm papel muito importante no escoamento do agronegócio nacional. Com isso, a soja brasileira deixa de ser competitiva quando comparada aos seus dois principais concorrentes, Argentina e Estados Unidos. Uma alternativa logística para exportar o grão é a utilização dos portos localizados no Oceano Pacífico e que fazem ligação com a recém-inaugurada, totalmente pavimentada, Rodovia Transoceânica. São apresentados três possíveis cenários que simulam a limitação de capacidade dos armazéns dos quatro principais portos nacionais, que exportam grãos de soja, e é verificada a importância dos portos de Ilo (Peru) e Arica (Chile) para suprir uma casual pane logística nos portos brasileiros. Após a simulação, são inferidas reflexões sobre as necessidades de melhorias logísticas para aumentar a competitividade da soja brasileira. Palavras-chaves:Transporte da soja, portos, rota transoceânica, simulação. Abstract: Rates of Brazilian export and agricultural production have increased

Purpose The purpose of this paper is to identify the relationship between the frequency of publication on food supply chain (FSC) traceability and the occurrence of foodborne diseases outbreaks. Design/methodology/approach A systematic review of the literature was carried out to locate the main articles published in the literature, followed by a content analysis in order to list the main food traceability technologies and their evolutions. Finally, a Spearman’s ρ correlation analysis between the frequency of publications on FSC traceability and the annual occurrence of foodborne outbreaks in the five largest food exporting countries in the world was performed. Findings In these analyses, the tools of radiofrequency, deoxyribonucleic acid, wireless sensor network, hazard analysis and critical control points and Internet of Things are the most researched technologies, and they are relevant in the evolution of traceability in the FSC. With correlation coefficients above 0.700 at 0.01 significance levels, this evolution of food traceability technologies has been one of the factors reducing the number of food outbreaks in the USA and Germany, countries with greater development of the health system and food control. Originality/value This paper provides an evaluation of the food traceability technologies and the effects of their evolutions in the occurrence of food outbreaks. This may help in the proposal of public policies related to food and outbreak control.

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The maintenance function is critical to ensuring that products and services meet the needs of diverse stakeholders. Specifically in the industrial sector, the maintenance of physical assets such as machinery, equipment, facilities and systems make an effective contribution to the profitability of the business. The concepts, techniques and methodologies applied to asset maintenance management have evolved since the principles of industrialization, through the consolidation of Total Productive Maintenance-TPM, and currently seeking the application of technologies called industry 4.0. However, the application of concepts, techniques and tools by industries vary according to the degree of maturity of the process management model. Maturity assessment models are applied in various industrial processes, with the purpose of evaluating whether or not organizations have maturity for the implementation of new technologies. Thus, this paper presents an analysis of the methods for evaluating the maturity level of the maintenance-oriented maintenance management system 4.0. The proposed model was built based on the literature review, the analysis of its results and comparison of evaluation models currently applied to industrial maintenance. To build the model, three priority elements were considered: People and their skills, Maintenance processes or routines, and Digitization. Thus, it was observed that the evaluated models meet the priority elements People and Processes, however, they are deficient in relation to emerging technologies of industry 4.0.

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