Robust parameter design and economical multi-objective optimization on characterizing rubber for shoe soles
Diseño robusto de parámetros y optimización multi-objetivo económica en la caracterización de hule para suela de calzado
DOI:
https://doi.org/10.15446/dyna.v88n216.89676Palabras clave:
Multiobjective Optimization, Robust Parameter Design, Loss Function, Genetic Algorithms, Rubber for shoe sole, Vulcanization (en)Optimización multiobjetivo, Diseño Robusto de Parámetros, Función de Pérdida, Hule para suela de calzado, Vulcanización (es)
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Within Taguchi methods, robust parameter design is a widely used tool for quality improvement in processes and products. The loss function is another quality improvement technique with a focus on cost reduction. Traditional Taguchi methods focus on process improvement or optimization with a unique quality characteristic. Analytical approaches for optimizing processes with multiple quality characteristics have been presented in the literature. In this investigation, a case of analysis for two quality characteristics in rubber for shoe sole is presented. A methodology supported in robust parameter design in combined array is used in order to obtain optimal levels in the vulcanization process. Optimization techniques based on the loss function and the use of restricted nonlinear optimization with genetic algorithms are proposed.
Dentro de los métodos Taguchi, el diseño robusto de parámetros es una herramienta ampliamente utilizada para la mejora de calidad en procesos y productos. La función de pérdida es otra técnica de mejora calidad con un enfoque en la reducción de costos. Los métodos Taguchi tradicionales se enfocan en la mejora u optimización de procesos con una característica de calidad única. En la literatura se han presentado enfoques de análisis para la optimización de procesos con múltiples características de calidad. En esta investigación de presenta un caso de análisis para dos características de calidad en el hule para suela de calzado mediante el uso del diseño robusto de parámetros en arreglo combinado, con la finalidad de obtener los niveles óptimos en el proceso de vulcanización. Se proponen técnicas de optimización basadas en la función de pérdida y el uso optimización no lineal restringida basada en algoritmos genéticos.
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1. Christopher Chukwutoo Ihueze, Uchendu Onwusoronye Onwurah, Christian Emeka Okafor, Nnaemeka Sylvester Obuka, Charles Chikwendu Okpala, Ndubuisi Celestine Okoli, Constance Obiuto Nwankwo, Queeneth Adesuwa Kingsley-Omoyibo. (2023). Robust design and setting process and material parameters for electrical cable insulation. The International Journal of Advanced Manufacturing Technology, 126(9-10), p.3887. https://doi.org/10.1007/s00170-023-11359-4.
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