Proposta de um CMMS para manutenção de equipamentos na Universidade de Brasília

Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Faculdade UnB Gama, 2017.Este trabalho apresenta a importância do gerenciamento da manutenção dos ativos de uma organização, tendo como enfoque os equipamentos eletrônicos, que por vezes possuem suas manutenções negligenciadas, sendo encaradas como uma fonte de despesa que não apresenta um retorno perceptível. São aqui apresentados os fundamentos da Gestão da Manutenção destes Equipamentos, trazendo os principais tipos de manutenção descritos na literatura, também são apresentados padrões e técnicas que regem a gestão de ativos (ISO 5500x e a PAS 55). A fundamentação obtida na literatura demonstra que uma má gestão das manutenções desperdiça recursos, trazendo gastos extras e não planejados e também gera soluções precárias e tardias que elevam a taxa de indisponibilidade dos ativos. Para sanar estes problemas a bibliografia define os principais tipos de manutenção: Corretiva, preventiva, preditiva, e proativa, bem como afirma que não existe uma solução geral para o problema, cabendo ao contexto e a natureza da tarefa em que esses equipamentos são aplicados a definição da melhor maneira de agir, sendo a solução particular para cada caso. Sendo assim, esta pesquisa retrata o atual modo gestão da manutenção de equipamentos eletrônicos empregados pela Diretoria de Manutenção de Equipamentos da Universidade de Brasília (DIMEQ/UNB) e desenha alguns de seus processos, para então sugerir melhores técnicas de controle, planejamento e coordenação para se ter ativos que possam gerar valor ao negócio, empregando na solução conceitos como Tempo Médio de Falha, Tempo Médio de Reparo, Tempo Médio Entre Falhas, disponibilidade, confiabilidade e custo. Assim como sugerir uma solução para informatizar esses dados construídos no trabalho. A pesquisa define indicadores de desempenho da manutenção, para o caso particular da UnB, que buscam mensurar o momento de maior probabilidade de falha para os equipamentos eletrônicos e quantificar os custos das manutenções. Todavia, estes indicadores levam em consideração os tipos de equipamentos os agrupando em categorias, pois há equipamentos que o tipo de manutenção recomendada é a corretiva, e em outros pode ser a preventiva e etc.This paper presents the importance of managing the maintenance of the asset’s organization with focus electronic equipment, which sometimes have their neglected maintenance, being seen as an expense source that does not have a noticeable return. Here are presented the basics of maintenance of these equipment management, bringing the main types of maintenance described in the literature and are also presented patterns and techniques that governing the asset management (ISO 5500x and PAS 55). The foundation obtained in the literature shows that poor management of maintenance wastes resources, bringing extra and unplanned expenses, and also generates precarious and delayed solutions that increase the rate of unavailability of assets. To solve these problems the literature defines the main types of maintenance: corrective, preventive, predictive, and proactive, and states that there is no general solution to the problem, leaving the context and the task of nature in which these devices are applied to setting the best course of action, and the particular solution for each case. So, this research portrays the current maintenance management mode of electronic equipment used by the Directorate of Equipment Maintenance of the University of Brasilia (DIMEQ / UNB) and draws some of its processes. To then suggest better control techniques, planning and coordination to have assets that can generate value to the business by employing the solution concepts to Mean Time to Failure, Mean Time to Repair, Mean Time Between Failures, performance, reliability and cost. As well as suggest a solution to computerize these data constructed at work. The survey defines maintenance performance indicators for the particular case of UNB, seeking to measure the moment of greatest probability of failure for electronic equipment and quantify the costs of maintenance. However, these indicators take into consideration the types of the grouping equipment into categories as there are devices which type of maintenance is recommended corrective, and others may be preventive, etc

Precision production environments for sugarcane fields

Sugarcane (saccharum spp.) in Brazil is managed on the basis of “production environments”. These “production environments” are used for many purposes, such as variety allocation, application of fertilizers and definition of the planting and harvesting periods. A quality classification is essential to ensure high economic returns. However, the classification is carried out by few and, most of the time, non-representative soil samples, showing unreal local conditions of soil spatial variability and resulting in classifications that are imprecise. One of the important tools in the precision agriculture technological package is the apparent electrical conductivity (ECa) sensors that can quickly map soil spatial variability with high-resolution and at low-cost. The aim of the present work was to show that soil ECa maps are able to assist classification of the "production environments" in sugarcane fields and rapidly and accurately reflect the yield potential. Two sugarcane fields (35 and 100 ha) were mapped with an electromagnetic induction sensor to measure soil ECa and were sampled by a dense sampling grid. The results showed that the ECa technique was able to reflect mainly the spatial variability of the clay content, evidencing regions with different yield potentials, guiding soil sampling to soil classification that is both more secure and more accurate. Furthermore, ECa allowed for more precise classification, where new “production environments”, different from those previously defined by the traditional sampling methods, were revealed. Thus, sugarcane growers will be able to allocate suitable varieties and fertilize their agricultural fields in a coherent way with higher quality, guaranteeing greater sustainability and economic return on their production

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Dementia in Latin America : paving the way towards a regional action plan

Regional challenges faced by Latin American and Caribbean countries (LACs) to fight dementia, such as heterogeneity, diversity, political instabilities, and socioeconomic disparities, can be addressed more effectively grounded in a collaborative setting based on the open exchange of knowledge. In this work, the Latin American and Caribbean Consortium on Dementia (LAC-CD) proposes an agenda for integration to deliver a Knowledge to Action Framework (KtAF). First, we summarize evidence-based strategies (epidemiology, genetics, biomarkers, clinical trials, nonpharmacological interventions, networking and translational research) and align them to current global strategies to translate regional knowledge into actions with transformative power. Then, by characterizing genetic isolates, admixture in populations, environmental factors, and barriers to effective interventions and mapping these to the above challenges, we provide the basic mosaics of knowledge that will pave the way towards a KtAF. We describe strategies supporting the knowledge creation stage that underpins the translational impact of KtAF

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Precision production environments for sugarcane fields

Sugarcane (saccharum spp.) in Brazil is managed on the basis of "production environments". These "production environments" are used for many purposes, such as variety allocation, application of fertilizers and definition of the planting and harvesting periods. A quality classification is essential to ensure high economic returns. However, the classification is carried out by few and, most of the time, non-representative soil samples, showing unreal local conditions of soil spatial variability and resulting in classifications that are imprecise. One of the important tools in the precision agriculture technological package is the apparent electrical conductivity (ECa) sensors that can quickly map soil spatial variability with high-resolution and at low-cost. The aim of the present work was to show that soil ECa maps are able to assist classification of the "production environments" in sugarcane fields and rapidly and accurately reflect the yield potential. Two sugarcane fields (35 and 100 ha) were mapped with an electromagnetic induction sensor to measure soil ECa and were sampled by a dense sampling grid. The results showed that the ECa technique was able to reflect mainly the spatial variability of the clay content, evidencing regions with different yield potentials, guiding soil sampling to soil classification that is both more secure and more accurate. Furthermore, ECa allowed for more precise classification, where new "production environments", different from those previously defined by the traditional sampling methods, were revealed. Thus, sugarcane growers will be able to allocate suitable varieties and fertilize their agricultural fields in a coherent way with higher quality, guaranteeing greater sustainability and economic return on their production7611017FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP2013/50942-2; 2014/14965-

Precision production environments for sugarcane fields

ABSTRACT: Sugarcane (saccharum spp.) in Brazil is managed on the basis of “production environments”. These “production environments” are used for many purposes, such as variety allocation, application of fertilizers and definition of the planting and harvesting periods. A quality classification is essential to ensure high economic returns. However, the classification is carried out by few and, most of the time, non-representative soil samples, showing unreal local conditions of soil spatial variability and resulting in classifications that are imprecise. One of the important tools in the precision agriculture technological package is the apparent electrical conductivity (ECa) sensors that can quickly map soil spatial variability with high-resolution and at low-cost. The aim of the present work was to show that soil ECa maps are able to assist classification of the “production environments” in sugarcane fields and rapidly and accurately reflect the yield potential. Two sugarcane fields (35 and 100 ha) were mapped with an electromagnetic induction sensor to measure soil ECa and were sampled by a dense sampling grid. The results showed that the ECa technique was able to reflect mainly the spatial variability of the clay content, evidencing regions with different yield potentials, guiding soil sampling to soil classification that is both more secure and more accurate. Furthermore, ECa allowed for more precise classification, where new “production environments”, different from those previously defined by the traditional sampling methods, were revealed. Thus, sugarcane growers will be able to allocate suitable varieties and fertilize their agricultural fields in a coherent way with higher quality, guaranteeing greater sustainability and economic return on their production

Errata da errata de "Diretrizes para o diagnóstico da artrite reumatoide" Erratum of the erratum of "Guidelines for the diagnosis of rheumatoid arthritis"

Na errata do artigo original «Diretrizes para o diagnóstico da artrite reumatoide» (Rev Bras Reumatol 2013;53(2):141-157) publica- da em Rev Bras Reumatol 2013;53(3):318 onde se lê:Licia Maria Henrique da Motaa,*, Bóris Afonso Cruza, Claiton Viegas Brenola, Ivânio Alves Pereiraa, Lucila Stange Rezende-Fronzaa, Manoel Barros Bertoloa, Max Vitor Carioca Freitasa, Nilzio Antônio da Silvaa, Paulo Louzada-Juniora, Rina Dalva Neubarth Giorgia, Rodrigo Aires Corrêa Limaa, Ronaldo Adib Kairallab, Alexandre de Melo Kawassakib, Wanderley Marques Bernardoc, Geraldo da Rocha Castelar Pinheiroaa Sociedade Brasileira de Reumatologia, São Paulo, SP, Brasilb Sociedade Brasileira de Pneumologia e Tisiologia, Brasília, DF, Brasilc Associação Médica Brasileira, São Paulo, SP, Brasilleia-se:Licia Maria Henrique da Motaa,*, Bóris Afonso Cruza, Claiton Viegas Brenola, Ivânio Alves Pereiraa, Lucila Stange Rezende-Fronzaa, Manoel Barros Bertoloa, Max Vitor Carioca Freitasa, Nilzio Antônio da Silvaa, Paulo Louzada-Juniora, Rina Dalva Neubarth Giorgia, Rodrigo Aires Corrêa Limaa, Ronaldo Adib Kairallab, Alexandre de Melo Kawassakib, Wanderley Marques Bernardoc, Geraldo da Rocha Castelar Pinheiroaa Sociedade Brasileira de Reumatologia, São Paulo, SP, Brasilb Sociedade Brasileira de Pneumologia e Tisiologia, Brasília, DF, Brasilc Associação Médica Brasileira, São Paulo, SP, Brasi

Boletín del Servicio Meteorológico Nacional: Epoca 2ª Año IV Número 326 - 1955 Noviembre 22

Resumo não disponíve