2 resultados para Industrial statistics.

em Universidade Federal do Rio Grande do Norte(UFRN)


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The work consists in a discussion of the evolution of formal employment in the industrial cities of Ceará state averages from 1990 to 2010, since this period was marked by important changes. It is emphasized that in order to achieve this aim, the present study was based on a survey of relevant literature on the subject, as well as the use of the Annual Report of Social Information (RAIS), published by the Ministry of Labour and Employment (MTE) and the Brazilian Institute of Geography and Statistics (IBGE). The central question to be considered in this study is how we evolved formal employment industry in medium-sized cities (Juazeiro do Norte, Crato and Sobral) of Ceará? The assumption that guides this work is that given the economic policies of the 1990 and 2000 these policies encouraged the relocation, thus implying significant growth in the formal manufacturing employment in these cities. Regarding the results obtained in the survey, it was found that the industrial sector of these cities, showed considerable dynamism in what refers to the expansion of establishments. When observed in percentage terms medium-sized cities (345.5%) had the highest growth in number of establishments in the 1990s with rates higher than the Northeast region (285.9%) and Brazil (167.5%). The highlight was the city of Juazeiro, with the highest concentration of micro and small footwear companies in the state. Regarding the number of formal jobs created in medium-sized cities, it went from 6.596 in 1990 to 41.660 million formal jobs in 2010, with a growth rate of 532%. The sector contributed most to employment generation was the footwear. Although the levels of minimum wages, the 1990 recorded the lowest levels. In the 2000, there were real gains in levels of minimum wages in all cities, however, it may be noted that over the decades there has been significant momentum. However, this momentum was not enough to prevent the end of the study period CMs-Ceará present low wages

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The need of the oil industry to ensure the safety of the facilities, employees and the environment, not to mention the search for maximum efficiency of its facilities, makes it seeks to achieve a high level of excellence in all stages of its production processes in order to obtain the required quality of the final product. Know the reliability of equipment and what it stands for a system is of fundamental importance for ensuring the operational safety. The reliability analysis technique has been increasingly applied in the oil industry as fault prediction tool and undesirable events that can affect business continuity. It is an applied scientific methodology that involves knowledge in engineering and statistics to meet and or analyze the performance of components, equipment and systems in order to ensure that they perform their function without fail, for a period of time and under a specific condition. The results of reliability analyzes help in making decisions about the best maintenance strategy of petrochemical plants. Reliability analysis was applied on equipment (bike-centrifugal fan) between the period 2010-2014 at the Polo Petrobras Guamaré Industrial, situated in rural Guamaré municipality in the state of Rio Grande do Norte, where he collected data field, analyzed historical equipment and observing the behavior of faults and their impacts. The data were processed in commercial software reliability ReliaSoft BlockSim 9. The results were compared with a study conducted by the experts in the field in order to get the best maintenance strategy for the studied system. With the results obtained from the reliability analysis tools was possible to determine the availability of the centrifugal motor-fan and what will be its impact on the security of process units if it will fail. A new maintenance strategy was established to improve the reliability, availability, maintainability and decreased likelihood of Moto-Centrifugal Fan failures, it is a series of actions to promote the increased system reliability and consequent increase in cycle life of the asset. Thus, this strategy sets out preventive measures to reduce the probability of failure and mitigating aimed at minimizing the consequences.