Procedimiento para asistir la toma de decisiones en la optimización de localización de instalaciones
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Autores
Bonilla Pérez, Kenia
Borroto Martínez, Andy
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Universidad Central "Marta Abreu" de Las Villas
Resumen
La presente investigación se realizó en la Compañía TRD Caribe División Centro que abarca las
provincias de Sancti Spíritus, Cienfuegos y Villa Clara. Su objetivo es asistir la toma de
decisiones en el proceso de optimización de localización de instalaciones, mediante la aplicación
de un procedimiento que aborde las distintas etapas con vista a la solución de la localización de
puntos de venta de la compañía objeto de estudio.
El motivo fundamental para realizar esta investigación es elevar el nivel de servicio al cliente a la
vez que se incrementan los ingresos por concepto de ventas de la Compañía TRD Caribe
División Centro. Esta, por su parte, carece de un método de optimización para llevar a cabo la
localización de sus puntos de venta, por lo que requiere de un procedimiento, que en función del
objetivo anterior, permita de forma efectiva asistir la toma de decisiones en el proceso de
optimización en sus diferentes etapas (pre-optimización, optimización y post-optimización).
Para el logro de los objetivos propuestos se utilizaron una serie de técnicas estadísticas
matemáticas, de investigación de operaciones y de inteligencia artificial (IA) las cuales
permitieron la obtención del procedimiento que se sustenta en los objetivos y necesidades de
esta empresa. La aplicación del procedimiento permitió seleccionar como algoritmo de solución
más adecuado a las condiciones del problema, la Optimización basada en Mallas Dinámicas.
This research was conducted at the Company TRD Caribbean Central Division which covers the provinces of Sancti Spiritus, Cienfuegos and Villa Clara. Its objective is to assist decision making in the optimization process of locating facilities by implementing a procedure that addresses the various stages with a view to resolving the location of outlets of the company under study. The rationale for this research is to raise the level of customer service while increasing the sales revenue of the Company TRD Caribbean Central Division. This, in turn, lacks an optimization method for carrying out the location of its outlets, so it requires a procedure which according to the above, allows for effective decision making to assist in optimization process at different stages (pre-optimization, optimization and post-optimization). To achieve the proposed targets were a set of statistical techniques, mathematics, operations research and artificial intelligence (AI) which will produce the procedure is based on the objectives and needs of this company. The application of the procedure resulted in the identification algorithm as a solution appropriate to the conditions of the problem, the Dynamic Mesh Optimization.
This research was conducted at the Company TRD Caribbean Central Division which covers the provinces of Sancti Spiritus, Cienfuegos and Villa Clara. Its objective is to assist decision making in the optimization process of locating facilities by implementing a procedure that addresses the various stages with a view to resolving the location of outlets of the company under study. The rationale for this research is to raise the level of customer service while increasing the sales revenue of the Company TRD Caribbean Central Division. This, in turn, lacks an optimization method for carrying out the location of its outlets, so it requires a procedure which according to the above, allows for effective decision making to assist in optimization process at different stages (pre-optimization, optimization and post-optimization). To achieve the proposed targets were a set of statistical techniques, mathematics, operations research and artificial intelligence (AI) which will produce the procedure is based on the objectives and needs of this company. The application of the procedure resulted in the identification algorithm as a solution appropriate to the conditions of the problem, the Dynamic Mesh Optimization.