The use of statistical process control in pharmaceuticals industry

The use of statistical process control has gained a major importance in the last years due to very good results that is provides and due the ease interpretation of the results, even by the people who are not specialists in the field. An essential quality, that differs the statistical process control to the other quality analysis statistical methods is that it examines the process in all stages, not only in the final stage. The increase of the competitiveness in all areas of industry made that the methods used in quality control to be more performant. No organization can maintain a high standard without a performant quality control. The pharmaceutical industry is one of the most important industries, holding an essential role in human’s health in particular and in welfare of the whole society in general. This application is meant to illustrate, by using some of statistical indices, control diagrams and capability process indices, how it is used the statistical process control in the pharmaceutical industry and highlights both advantages and disadvantages of using it

A statistical analysis of wind speed data from a specific site in order of optimal operating of wind turbines

The surprising evolution from the last decade in the area of renewable energy has triggered the emergence of the new technical challenges for both the power system operators and for the project developers of this area. One of this challenges refer to the analysis, from the statistical view, of the wind parameters (speed, direction, frequency, amplitude) on relevant time intervals. A detailed analysis of the wind speed values recorded in a specific site leads to the generation of results that can lead to the determination of optimal values for the electric power generated at each time point by the wind turbine located in that area. Very important is the identification of sign changes and hence the time intervals during which the wind turbine does not work because these has a major importance in the stage of initial estimation of power energy generated and also for the estimation of average lifetime of a wind turbine on a specific site with various variation regimes of wind speed

A statistical analysis of distribution of unemployment in Romania, between 1991-2010

The unemployment represents a big problem at local and national level for every country. The most of the society problems are determined by this and also the criminality rate is proportional with the unemployment rate. If before the 1989 Romanian Revolution the rate of the unemployment was relatively low, in the last 20 years this rate experienced high and uncontrolled increases because the instability of national economy. Obviously one of the main reason was the disappearance of many combined and manufacturers or the privatization of these. Another cause was the fact that most of the Romanian people, especially younger between 18 and 40 years of age and especially in the 2000’s has gone for working abroad. For this reason the national economy has declined dramatically and in the beginning of the new millennium, more exactly the first 4-5 years, the unemployment rate was one of the highest from entire Europe and the highest from the Central and Southern Europe. Fortunately, in the last 5-6 years the national Romanian economy has known a relatively increase because of the foreign investors that either took some of the manufacturers that were in decay either built new ones and therefore hire the workforce from the country. Also, another important thing is represented by the investments in the tourism, an area that represented a national force in the 70’s and 80’s. In this paper, based on the data collected from the National Institute of Statistics we want to do an analysis of the unemployment for the period of the last 2 decades, with a step of approximately 10 years, in order to observe some differences between the number of unemployed people from three different periods: 90’s, 00’s and 10’s