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ASPECTS OF TOTAL QUALITY MANAGEMENT APPLIED IN ...

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Annals of the University “Constantin Brâncuşi”of Tg-Jiu, No. 1/2008, Volume 2,<br />

ISSN: 1842-4856<br />

Among the multiples methods of prevision used we mention, both the mechanical or<br />

analytical ones, which permit the obtaining of absolute values of the studies indicators, and<br />

also the method of Markov chains, which leads to the prevision of the structural modifications<br />

of the indicators under the processes of statistical analysis.<br />

The mechanical methods used for the prevision of the future, from touristic point of<br />

view, of the Bîrsa Contry include the method of the medium spore and of the medium index,<br />

while form the analytical methods the one of the linear trend is considered the most<br />

suggestive.<br />

The prevision of the tourism activity in the Bârsa Country for the following two years<br />

(2006, 2007), can be made beginning from the evolution followed for the 8 past years (1998-<br />

2005) for the main indicators which to feature the future tendency of them.<br />

The structural prevision of the touristic indicators from the Bârsa Country for 2006<br />

has been accomplished based on a calculation algorithm, the methodology supposing the<br />

following of the following steps, taken from „The Economy of services – case studies” [4]:<br />

‣ The calculation of the transition matrixes – which needs the determination of several<br />

transition matrixes according to the number of years; in every matrix, it is taken the<br />

smallest value, at the crossroad of the columns and rows, determining the „diagonal of<br />

the fidelity”, so that the differences determined are distributed into the matrix and<br />

represents the increase and decrease of the structure of the analyzed indicator;<br />

‣ The calculation of the total transition matrix – represents the step in which we sum the<br />

elements of the transition matrixes anterior determined;<br />

‣ The determination of the matrix of transition probabilities – it is the division of every<br />

element of the transition total matrix at the total of a row;<br />

‣ The establishment of the previsioned structure – which supposes the multiplication of<br />

the transposed of the transition probabilities matrix with the vector of the structure of<br />

the latest year.<br />

The process of prevision is referring to the main indicators of the technical-material<br />

base (number of touristic accommodation structures and number of accommodation places)<br />

and also indicators of touristic circulation (number of tourists arrivals and number of<br />

accomodations over night) established for the Bârsa Country.<br />

The oscillations of the touristic circulation in the frame of the Bârsa Country can be<br />

featured with the help of the main indicators of measuring, the number of arrivals of the<br />

tourists accommodated in the touristic accommodation structures, the number of the<br />

accommodations overnight. The tendencies regarding their evolution in the period 1998 –<br />

2005 permitted the prevision of these indicators for the next two years.<br />

2. The prevision of tourists arrivals number in the touristic accommodation structures<br />

of the Bârsa Country<br />

The application of the mechanical and analytical adjusting methods permitted to<br />

feature the evolution of the number of tourists arrivals in the touristic accommodation<br />

structures from the region of the Bârsa Country between 1998 - 2005 and the establishment of<br />

the absolute values of the studied indicator for 2006 and 2007.<br />

As the results of the calculation algorithm (table 1) of the number of tourists arrivals,<br />

in the period1998-2006, the number of arrived tourists followed the tendency of continuous<br />

increasing from a year to another, this tendency continuing in the following years, too.<br />

The method of linear trend is the one which indicates the fact that this increase of<br />

tourists number will be little enough, at the level of 2006 getting to approximately 398<br />

thousand tourists, and in 2007 at only 408 thousands tourists, the yearly medium increase<br />

248

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