Precios Sombra - IO

Ejemplo: Wyndor Glass Met
La WYNDOR GLASS CO. produce artículos de vidrio de alta calidad, entre ellos ventanas y[br]puertas de vidrio. Tiene tres plantas. Los marcos y molduras de aluminio se hacen en la planta 1, los de madera en la planta 2; la 3 produce el vidrio y ensambla los productos.[br]Debido a una reducción de las ganancias, la alta administración ha decidido reorganizar la[br]línea de producción de la compañía. Se discontinuarán varios productos no rentables y se dejará libre una parte de la capacidad de producción para emprender la fabricación de dos productos nuevos cuyas ventas potenciales son muy prometedoras:[br][list][*]Producto 1: una puerta de vidrio de 8 pies con marco de aluminio[/*][/list][list][*]Producto 2: una ventana corrediza con marco de madera de 4 por 6 pies[/*][/list]El producto 1 requiere parte de la capacidad de producción en las plantas 1 y 3 y nada en la planta 2. El producto 2 sólo necesita trabajo en las plantas 2 y 3. La división de comercialización ha concluido que la compañía puede vender todos los productos que se puedan fabricar en las plantas. Sin embargo, como ambos productos competirían por la misma capacidad de producción en la planta 3, no está claro cuál mezcla de productos sería la más rentable.[br][br][img]data:image/png;base64,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[/img][br]Para la función ganancia (Z) obviaremos la escala de 1000. Tenemos [math]\max Z=3x_1+5x_2[/math] y las restricciones serán, de no negatividad [math]x_1\ge0,\qquad x_2\ge0[/math][br][math]x_1\le4,\qquad2x_2\le12,\qquad3x_1+2x_2\le18[/math][br]notemos que por el tipo de restricción, usaremos variables de holgura [math]x_3,x_4,x_5[/math].
El punto A es una solución factible porque cumple con todas las restricciones, notemos que al moverlo por la región factible, la construcción muestra el valor de las variables de decisión y las variables de holgura.[br][br]El deslizador Z nos muestra el nivel de ganancia alcanzado para distintas combinaciones de producción (parejas de variables de decisión).[br][br]Las casillas de verificación suponen un incremento en una unidad en las restricciones, lo que varía el tamaño de la región factible y por consiguiente el punto de máxima ganancia.

Information: Precios Sombra - IO