Desenvolvimento de um modelo para avaliar o nível de manutenção Lean de uma organização : caso de estudo

Trabalho final de mestrado para obtenção do grau de mestre em Engenharia MecânicaA criação de um modelo de avaliação Lean é importante para criar boas práticas a aplicar na área da manutenção, como principio de uma atividade que utiliza ferramentas Lean e consciente de todas as suas vantagens. A implementação de filosofia Lean na manutenção visa melhorar o planeamento e a programação das atividades, aumentar a produtividade, motivar os trabalhadores, ajudar na introdução de novos hábitos e de novas atitudes no trabalho e ainda identificar os desperdícios que devem ser eliminados. A competitividade e o preço excessivo dos produtos (bens ou serviços) que o cliente final não quer pagar, faz com que as empresas públicas e privadas tomem medidas para evitar todo o tipo de desperdícios, rentabilizando ao máximo a sua cadeia de valor. A filosofia Lean foi uma das formas encontradas para identificar e eliminar alguns desses desperdícios, melhorando o processo produtivo e, desta forma, tornando as organizações mais competitivas. O Lean tem várias ferramentas podendo ser aplicadas em diversas áreas. Uma dessas áreas é a manutenção, onde se pretende que os equipamentos operem sem interrupções e com uma produção de qualidade. Algumas das ferramentas do Lean encaixam-se perfeitamente na área da manutenção para identificação de desperdícios, criação de valor, realização de planeamento, melhoria do sistema de trabalho na organização e até no próprio desenvolvimento dos trabalhadores. A presente dissertação visa mostrar algumas das ferramentas mais comuns da filosofia Lean com aplicabilidade na manutenção de equipamentos de apoio à atividade de um serviço publico e ao desenvolvimento de um modelo de avaliação com apresentação através de estudo de caso. No trabalho infra são apresentadas diversas ferramentas Lean, nomeadamente 5s, trabalho padronizado, (standardwork uniformização), gestão visual (andon), melhoria continua (kaisen), mapeamento fluxo de valor na manutenção (MVSM), SIPOC, gestão visual, 5w, ciclo PDCA. O modelo de avaliação está estruturado em 3 grandes áreas “Clientes”, “Organização” e “Fornecedores”, vai subdividir-se em 7 critérios e 60 atributos. Dos 60 atributos, foram desenvolvidos 6 e que compõem mais de 70 atributos, perfazendo mais de 130 no final o modelo proposto neste trabalho.The creation of a lean evaluation model is important to create good practice in the field of maintenance as the principle of an activity that uses lean tools aware of all its advantages. Implementing Lean's philosophy of maintenance aims to improve planning and scheduling of activities, increase productivity, motivate employees, assist in introducing new habits and new attitudes at work, and identify the wastes that need to be eliminated. Competitiveness and the excessive price of products (goods or services) that the final customer does not want to pay, makes public and private companies take measures to avoid all types of waste, making the most of its value chain. The Lean philosophy was one of the ways found to identify and eliminate some of these wastes, improving the production process and thus making companies more competitive. Lean has several tools that can be applied in several areas. One of these areas is maintenance, where the equipment is intended to operate without interruption and with a quality production. Some of Lean's tools fit perfectly into the maintenance area for waste identification, value creation. The present dissertation aims to show some of the most common tools of the Lean philosophy with applicability in the maintenance of equipment to support the activity of a public service and the development of an evaluation model with presentation through case study. In the work below are presented several Lean tools, namely 5s, standardized work, (standardwork standardization), visual management (andon), continuous improvement (kaisen), maintenance value flow mapping (MVSM), SIPOC, visual management, 5w, cycle PDCA. The avaliation model is structured in 3 large areas "Customers", "Organization" and "Suppliers", will be subdivided into 7 criteria and 60 attributes. Of the 60 attributes were developed 6 and that make up more than 70 attribute attributes, preferring more than 130 at the end the model proposeN/

Polymorphisms in the gene regions of the adaptor complex LAMTOR2/LAMTOR3 and their association with breast cancer risk.

Background: The late endosomal LAMTOR complex serves as a convergence point for both the RAF/MEK/ERK and the PI3K/AKT/mTOR pathways. Interestingly, both of these signalling cascades play a significant role in the aetiology of breast cancer. Our aim was to address the possible role of genetic polymorphisms in LAMTOR2 and LAMTOR3 as genetic risk factors for breast cancer. Methodology/Results: We sequenced the exons and exon-intron boundaries of LAMTOR2 (p14) and LAMTOR3 (MP1) in 50 prospectively collected pairs of cancerous tissue and blood samples from breast cancer patients and compared their genetic variability. We found one single nucleotide polymorphism (SNP) in LAMTOR2 (rs7541) and two SNPs in LAMTOR3 (rs2298735 and rs148972953) in both tumour and blood samples, but no somatic mutations in cancerous tissues. In addition, we genotyped all three SNPs in 296 samples from the Risk Prediction of Breast Cancer Metastasis Study and found evidence of a genetic association between rs148972953 and oestrogen (ER) and progesterone receptor negative status (PR) (ER: OR = 3.60 (1.15-11.28); PR: OR = 4.27 (1.43-12.72)). However, when we additionally genotyped rs148972953 in the MARIE study including 2,715 breast cancer cases and 5,216 controls, we observed neither a difference in genotype frequencies between patients and controls nor was the SNP associated with ER or PR. Finally, all three SNPs were equally frequent in breast cancer samples and female participants (n = 640) of the population-based SAPHIR Study. Conclusions: The identified polymorphisms in LAMTOR2 and LAMTOR3 do not seem to play a relevant role in breast cancer. Our work does not exclude a role of other not yet identified SNPs or that the here annotated polymorphism may in fact play a relevant role in other diseases. Our results underscore the importance of replication in association studies

A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area

Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of “Parque Nacional do Caparaó” (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states

CMS physics technical design report : Addendum on high density QCD with heavy ions

Peer reviewe

Genome of Herbaspirillum seropedicae Strain SmR1, a Specialized Diazotrophic Endophyte of Tropical Grasses

The molecular mechanisms of plant recognition, colonization, and nutrient exchange between diazotrophic endophytes and plants are scarcely known. Herbaspirillum seropedicae is an endophytic bacterium capable of colonizing intercellular spaces of grasses such as rice and sugar cane. The genome of H. seropedicae strain SmR1 was sequenced and annotated by The Paraná State Genome Programme—GENOPAR. The genome is composed of a circular chromosome of 5,513,887 bp and contains a total of 4,804 genes. The genome sequence revealed that H. seropedicae is a highly versatile microorganism with capacity to metabolize a wide range of carbon and nitrogen sources and with possession of four distinct terminal oxidases. The genome contains a multitude of protein secretion systems, including type I, type II, type III, type V, and type VI secretion systems, and type IV pili, suggesting a high potential to interact with host plants. H. seropedicae is able to synthesize indole acetic acid as reflected by the four IAA biosynthetic pathways present. A gene coding for ACC deaminase, which may be involved in modulating the associated plant ethylene-signaling pathway, is also present. Genes for hemagglutinins/hemolysins/adhesins were found and may play a role in plant cell surface adhesion. These features may endow H. seropedicae with the ability to establish an endophytic life-style in a large number of plant species

Bose-Einstein correlations of charged hadrons in proton-proton collisions at s\sqrt s = 13 TeV

Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s}$ = 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s}$ = 7 TeV, as well as with theoretical predictions.[graphic not available: see fulltext]Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s} =$ 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s} =$ 7 TeV, as well as with theoretical predictions