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Using the seven steps of the quantitative analysis approach (the quantitative analysis approach) model the decision in the face of uncertainty to establish a fast

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Using the seven steps of the quantitative analysis approach (the quantitative analysis approach) model the decision in the face of uncertainty to establish a fast food restaurant or clothing store. Choose the name and location of both establishments. It also performs the decision analysis in the face of uncertainty using the data in the table. The student will assume that this data comes from the company. Based on these criteria the student must make a decision. Then, using the seven steps of the quantitative analysis approach (the quantitative analysis approach), model the need for a sales projection in a supermarket.

You choose the name and location. He also makes the projections with the following from the table. The data is in millions of dollars. The student will assume that this data comes from the company. Perform at least three projection methods discussed in the textbook and compare your results. Breakeven point, Forcasting, Quantitatives Techniques, Exponential Smooting.

Economa favorable Economa desfavorable Maximax Maximin Hurwicz Laplace Minimax Comida rpida 350,000 -250,000 Ropa 75,000 -30,000 Meses 2009 2010 2011 2012 Julio 2165 2046.6 2075.3 2032.3 Agosto 2213.5 2109.2 2097.7 2107.4 Septiembre 2103.1 1956.7 2021 2012.8 Octubre 2133.6 2016.7 2082.8 2029.1 Noviembre 1966 1849.5 1906.9 1826 Diciembre 1937.5 1818.3 1950.3 1795 Enero 1856.8 1791.9 1817.8 1762.3 Febrero 1758.4 1629 1738.3 1629.4 Marzo 1864.3 1720.2 1993.4 1814.5 Abril 1889.7 1814.3 1895.8 1793.3 Mayo 2032.8 1897.4 2009.1 1890.7 Junio 2014.5 1961.1 1990.3 1938.3 Economa favorable Economa desfavorable Maximax Maximin Hurwicz Laplace Minimax Comida rpida 350,000 -250,000 Ropa 75,000 -30,000 Meses 2009 2010 2011 2012 Julio 2165 2046.6 2075.3 2032.3 Agosto 2213.5 2109.2 2097.7 2107.4 Septiembre 2103.1 1956.7 2021 2012.8 Octubre 2133.6 2016.7 2082.8 2029.1 Noviembre 1966 1849.5 1906.9 1826 Diciembre 1937.5 1818.3 1950.3 1795 Enero 1856.8 1791.9 1817.8 1762.3 Febrero 1758.4 1629 1738.3 1629.4 Marzo 1864.3 1720.2 1993.4 1814.5 Abril 1889.7 1814.3 1895.8 1793.3 Mayo 2032.8 1897.4 2009.1 1890.7 Junio 2014.5 1961.1 1990.3 1938.3

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