Taguchi Costing
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Recent papers in Taguchi Costing
Taguchi loss function is a diagram of the loss for the company that actual results differ from a target value. Taguchi loss function is intended to capture not only the loss to the customer, but to society and society at large which can... more
Taguchi loss function is a diagram of the loss for the company that actual results differ from a target value. Taguchi loss function is intended to capture not only the loss to the customer, but to society and society at large which can be measured by cost. The loss function is not to grasp what cannot be quantified. For that reason the loss of function includes increased pollution as a cost to society. In general, the loss function is shown as a parabola at the point of minimum loss directly above the target value. As she is drawn as a parabola symmetrical in most instances it is not necessarily as the loss function in a real case would be that the actual loss and could be discontinuous and asymmetric. An extremely important concept is the function that displays the weakness of the use of specifications that deal with any outcome between the values that are not rejected as equal. More often while the customer can accept an outcome in the specification they become less satisfied and more likely to find another supplier, as results leave their desired target. This concept has even more value when looking at the loss if it can be measured. While it would be nice to be able to measure all the costs it is often not possible and is worth including known but immeasurable losses in decision-making. And while paying attention to the value of the loss to society is it is also logical to calculate the loss function with respect to all customer and supplier. Here is a detailed analysis and examination costs Taguchi, philosophy and the Taguchi loss function.
The paper presents the results of experimental investigation on mechanical properties, machining Characteristics & Surface Roughness of an Aluminum Metal Matrix Composite (Al/SiC). Composite is prepared by using stir casting technique.... more
The paper presents the results of experimental investigation on mechanical properties, machining Characteristics & Surface Roughness of an Aluminum Metal Matrix Composite (Al/SiC). Composite is prepared by using stir casting technique. The influence of reinforcement ratios of 0, 4 and 8 wt. % of SiC on mechanical Properties is discussed. Machining of composite by using turning operation and its characteristics that influence the cutting force and surface roughness such as feed rate, depth of cut and cutting speed was studied. It was observed that increase of reinforcement element addition produced better mechanical properties. Experimental results revel that the cutting forces increases with increase in weight percentage and Flank wear and decreases with increase in the cutting speed. It was observed that the cutting speed, Flank wear and the feed rate at constant depth of cut affects the surface roughness during dry turning operation of cast MMCs. Taguchi L27 orthogonal array technique is considered with four factors i.e. Material, cutting speed, feed & artificially induced tool wear, each at 3 different levels, has been employed. The experimental results reveal that cutting speed is most influencing parameter when cutting force Fx is considered. Similarly when surface roughness is considered tool wear plays the most influencing factor.
In this paper the efficiency and output power are considered, as the most important characteristics of the worm gear reducer, and their optimization was performed. As the influencing factors, the viscosity of the lubricant, the input... more
In this paper the efficiency and output power are considered, as the most important characteristics of the worm gear reducer, and their optimization was performed. As the influencing factors, the viscosity of the lubricant, the input number of revolutions and the current intensity on the control unit, were taken into account. Experimental tests were performed on the basis of the L27 Taguchi orthogonal matrix. Due to multiple output issues, the Grey method was applied. Based on the Grey relational grade using the ANOVA analysis, the optimal combination of factors is A3B2C3 ie. Grey relational grade is the highest for the number of revolutions 2000 min-1, the viscosity of the lubricant 460 mm 2 /s and current intensity of 0.2 A. Also, Grey relational grade was most influenced by the current intensity on the control unit with 72.1%.
The paper presents the results of experimental investigation on mechanical properties, machining Characteristics & Surface Roughness of an Aluminum Metal Matrix Composite (Al/SiC). Composite is prepared by using stir casting technique.... more
The paper presents the results of experimental investigation on mechanical properties, machining Characteristics & Surface Roughness of an Aluminum Metal Matrix Composite (Al/SiC). Composite is prepared by using stir casting technique. The influence of reinforcement ratios of 0, 4 and 8 wt. % of SiC on mechanical Properties is discussed. Machining of composite by using turning operation and its characteristics that influence the cutting force and surface roughness such as feed rate, depth of cut and cutting speed was studied. It was observed that increase of reinforcement element addition produced better mechanical properties. Experimental results revel that the cutting forces increases with increase in weight percentage and Flank wear and decreases with increase in the cutting speed. It was observed that the cutting speed, Flank wear and the feed rate at constant depth of cut affects the surface roughness during dry turning operation of cast MMCs. Taguchi L27 orthogonal array technique is considered with four factors i.e. Material, cutting speed, feed & artificially induced tool wear, each at 3 different levels, has been employed. The experimental results reveal that cutting speed is most influencing parameter when cutting force Fx is considered. Similarly when surface roughness is considered tool wear plays the most influencing factor.
En este trabajo se aplicó el modelo de Diseño Experimental de Taguchi para la optimización de las propiedades mecánicas y térmicas de un material compuesto aglomerado y obtener los parámetros más adecuados para su elaboración. La... more
En este trabajo se aplicó el modelo de Diseño Experimental de Taguchi para la optimización de las propiedades mecánicas y térmicas de un material compuesto aglomerado y obtener los parámetros más adecuados para su elaboración. La importancia del desarrollo de los aglomerados sintéticos está en el uso de desechos agrícolas para darle un empleo útil al suplir materiales de gran demanda. Se utilizaron la cáscara de arroz, arcilla, arena y gel de aloe como materias primas. Con la variación de los valores de los factores de control: porcentaje de cáscara de arroz (R), temperatura (T) y tiempo de tratamiento térmico (t), se realizaron las diferentes combinaciones experimentales. Para la optimización de las propiedades mecánicas y térmicas según la metodología de Taguchi, se seleccionaron de las pruebas mecánicas y térmicas: el módulo de elasticidad, la energía absorbida en el impacto, el módulo de rotura máximo y la temperatura inicial de descomposición para cada combinación experimental de aglomerado. Para el procesamiento de estos datos, se utilizó el software para el diseño automático y análisis de experimentos de Taguchi, Qualitek-4, bajo la característica de calidad mayor–mejor. Los parámetros óptimos obtenidos para cada nivel de control, fueron R = 15%, T = 120 C y t = 3 h. Estos resultados fueron validados con la realización de un experimento confirmatorio, donde se obtuvieron, para este aglomerado, propiedades similares a las de unas especies de madera. El desarrollo de este prototipo de material alternativo será útil como sustituyente de la madera y contribuirá a la reducción del impacto ambiental generado por los productos de desecho.
PACS: 88.30.mj, 81.70.Bt, 82.35.Pq
MSC: 91B82
PACS: 88.30.mj, 81.70.Bt, 82.35.Pq
MSC: 91B82
- by Revista Ingeniería y Ciencia and +1
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- Engineering, Mathematics, Physics, Colombia